Pauses and pitch movement as strategies for reading aloud in higher education students | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Pauses and pitch movement as strategies for reading aloud in higher education students Aintzane Etxebarria, Aitor Iglesias, Ariane Ensunza, Juan Abasolo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5797609/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The non-university academic regulations for Basic Education establish reading aloud within the realm of language and literature as one of several activities that serve to create texts with a playful, artistic, and creative goal, as reading aloud texts forms the foundation for comprehensible and meaningful learning. Therefore, it is of utmost importance to research the competence of primary education teachers. The main objective of this work is to describe pauses and pitch changes as mechanisms for turn-taking. For that purpose, 150 bilingual Basque university students have been recorded and analysed reading aloud a brief narrative text. The results of the study demonstrate that they indeed use pauses as a strategy for role or turn changes, and in the statistical analysis, significant differences are observed, both in terms of frequency and in terms of duration, between orthographically marked pauses (T-pauses) and those that allow a role shift (P-pauses). Comparing the results of the present study with those of Bosch et al. ( 2005 ) the observations about reading aloud do not match, since this research shows that P-pauses are significantly longer than T-pauses. This elongation coincides with the role shift represented by the pauses. As a summary of what has been said, this study identifies the following sequences as the most common when reading aloud in Basque: HL[P]HL and H[T]H. Social science/Education Social science/Language and linguistics Pauses Pitch Reading aloud Didactics Primary Education Figures Figure 1 Figure 2 1. Introduction Reading aloud has been described as “a social activity which, through intonation, pronunciation, diction, fluency, rhythm, and volume of voice, brings written text to life, giving it meaning so that the listener can dream, imagine, or express their emotions and feelings” (Cova, 2004). This practice has historically served to meet various human needs. Páez, Roque, and Mirabal (2009) reflect on the historical evolution of reading, explaining that reading aloud was a tool for learning to read in Roman times. In addition, reading at home—often performed by a slave—fulfilled a social function. In Cuba, the lector de tabaquería tradition (meaning ‘tobacco factory reader’) continues to play a significant role even today; so much so that in 2012, the tradition of reading aloud was officially recognised as part of cultural heritage (Oelsner, 2018). More recently, teachers’ reading aloud has been linked to improved comprehension and student motivation (Ceyhan & Yıldız, 2021), with emphasis on the importance of fostering reading fluency, which is defined by Rasinski (1989) as the natural oral delivery of written text, comprising three key elements: decoding, automaticity in word recognition, and the appropriate use of prosody, or effective oral expression. The Royal Spanish Academy (2019a) defines prosody as the phonetic and phonological study of units of speech above phoneme level, namely syllables and other sequences within words or sentences. Nespor and Vogel (1986), drawing on the work of Liberman and Prince (1977) and Selkirk (1978), gave the elements that fall under prosody in the following hierarchical order: rhyme, syllable, foot, phonological word, phonological phrase, intonational phrase, and utterance. Pauses are defined as “silences or vocalisations interspersed in speech” (Gil, 2007: 544), which means they can be either silent or audible. Silent or ‘empty’ pauses can be related to breathing or the interruption of phonation, whereas audible pauses, or ‘filled’ pauses, are vowel elongations or vocalisations such as “eh” or “mm” (Llisterri, 2016). Audible pauses can include repetitions, self-corrections, repeated starts or false starts, in addition to elongations (Rose, 1998). In an analysis of audible pauses and elongations in Spanish, Machuca et al. (2015) concluded that pauses serve to signal to the listener when it is an appropriate time to take the floor, although they are also found in communicative situations where the speaker knows they will not be interrupted, sometimes more frequently. In written text, punctuation marks are graphic symbols that aid the correct reading and interpretation of a text. More specifically, punctuation marks serve to delimit the various units of discourse so as to facilitate understanding and avoid potential ambiguities (Royal Spanish Academy, 2019b). Studies have found that a substantial percentage of pauses should be avoided when reading aloud, as they often divide structures (phrases and words) incorrectly (Etxebarria et al., 2016: 115), thereby hindering comprehension of the text. Therefore, in oral discourse, what helps to prevent potential comprehension difficulties is the correction of silences and the change in F0 (fundamental frequency) before a pause (Benjamin and Schwanenflugel, 2010; Miller and Schwanenflugel, 2006, 2008; Schwanenflugel et al., 2004). That is, the change in boundary tone before and after a pause, which refers to the fluctuations in pitch that occur at the end of an intonational phrase (Prieto, 2015). These tonal units are represented by H (High) and L (Low), and can be monotonal or bitonal. An asterisk (*) indicates a high pitch or its association with the stressed syllable, while the symbol % marks the boundary at the end of a phrase or prosodic group (Hualde, 2003; Prieto, 2015). There is also a boundary tone represented by M%, which, Hualde (2003) explains, has sometimes been used to indicate a final mid pitch that contrasts with a final rise and fall. In a study of boundary tones conducted in the seven provinces where Basque is spoken, the following combinations were observed: H%, L%, M%, HL%, and LH% (Gaminde et al., 2014). However, in previous studies (Gaminde et al., 2014; Gaminde et al., 2015), the M% tone was found to occur more in spontaneous speech than in texts read aloud. Cestero (1994: 21) describes pitch movement as the “fundamental or primary components that signal or indicate points of transition” in spontaneous dialogue. The main objective of this work is to describe the number of pauses and their duration, as well as the tonal movements, in order to characterise the role change, referred to as ‘turn’ in spontaneous dialogue. For that purpose, we have recorded students reading aloud a brief narrative text, 1 chosen because it is a familiar genre and the one that has been used most (Valdés, 2022) by primary education teachers. 2. Corpus and Methodology To gather the corpus under study, 150 bilingual Basque university students were selected, of whom 110 were women and 40 were men. Of the 150 students, 115 had acquired the Basque language in a school environment, and 35 at home. Recordings were carried out in a designated reading lab, using Marantz PMD620 and ZOOMH4 recorders and an external microphone. Below is the text that participants were asked to read (Table 1): Table 1 : Text read aloud by participants. Text in Basque English translation Peruk zeukan oholezko etxea, Mariak zeukan gatzezkoa. Peruk Mariari: “Emaidazu gatz pixkatxo bat” eta “Ez!” Ekarri zuen euri zaparrada handia. Urtu zitzaion Mariari etxea eta gero Peruren etxera joan zen, oholezko etxera. Eta ez zuen hartu. “Zeuk ere ez didazu gatzik eman, ezta? Orain egin lo kalean. Peru had a house made of wood; Maria had one made of salt. Peru said to Maria: “Give me some salt” and she said “No!" There was a big rainstorm, and Maria’s house dissolved, so she went to Peru’s house, to the wooden house. However, he did not open the door. “Well, you didn’t give me any salt either, did you? Now you’re going to sleep out on the street.” This text is composed of twelve pauses, five of which allow for a change of role (P1, P2, P3, P4, and P5) from one character to another, as shown in Table 2: Table 2 : Representation of pauses P1, P2, P3, P4 and P5. Peruk zeukan oholezko etxea, T1 Mariak zeukan gatzezkoa. T2 Peruk Mariari: P1 “Emaidazu gatz pixkatxo bat” P2 eta P3 “Ez!” P4 Ekarri zuen euri zaparrada handia. T3 Urtu zitzaion Mariari etxea eta gero Peruren etxera joan zen, T4 oholezko etxera. T5 Eta ez zuen hartu. P5 “Zeuk ere ez didazu gatzik eman, T6 ezta? T7 Orain egin lo kalean. After giving participants a few moments to become familiar with the text, they were asked to read aloud, and recording began. The recorded texts were processed and transcribed using Praat software (Boersma & Weenink, 2023). Changes in the fundamental frequency curve before and after the pauses were marked, using autosegmental-metrical notation (L, H, HL, or LH), and the duration of the pauses was also observed. The collected data were then analysed. 3. Findings In accordance with the objectives outlined in the previous section, three kinds of findings were examined with the aim of characterising changes in role during the reading aloud of a short story: 1) the number of pauses, 2) the duration of the pauses, and 3) pitch movement. 3.1 Number of pauses In the narrative text that the bilingual Basque university students read aloud, two types of pauses were identified: 1) P-pauses, which allow a change of turn between the characters, and 2) T-pauses, which correspond to punctuation marks indicating a stop or pause. Table 3 shows the quantity of each type of pause and its duration range, as well as the mean and standard deviation. Table 3 : Quantity, mean duration and standard deviation for each type of pause. Type of pause Quantity Range Mean duration Standard deviation T1 (coma) 150 0.005‒1.054 0.398 0.196 T2 (punto) 150 0.119‒2.202 0.779 0.287 T3 (punto) 150 0.065‒1.726 0.597 0.268 T4 (coma) 148 0‒1.680 0.380 0.200 T5 (punto) 150 0.280‒1.793 0.892 0.308 T6 (coma) 39 0‒0.402 0.039 0.079 T7 (punto) 150 0.051‒1.006 0.466 0.209 P1 150 0.005‒1.099 0.525 0.235 P2 146 0‒1.105 0.388 0.221 P3 128 0‒1.078 0.236 0.212 P4 150 0.282‒2.088 0.902 0.333 P5 150 0.080‒1.868 0.615 0.274 As can be seen in Table 3, the least frequent T-pause is the T6 comma in the sentence that ends with a question tag requesting confirmation of what was previously stated: “Zeuk ere ez didazu gatzik eman, T6 ezta?” (“Well, you didn’t give me any salt either, did you?”). Similarly, P3 is the least frequent P-pause, presumably because it occurs between two monosyllabic words and the readers did not feel the need to pause. From these data, we infer that all of pauses occur frequently, whether marked by punctuation or indicating a turn transition. To check for statistically significant differences in the number of pauses made, we calculated the proportion of T-pauses and P-pauses, where 0 indicates none and 1 indicates the total possible pauses (7 for T-pauses and 5 for P-pauses). In order to analyse whether this difference can be considered significant, we performed a Kolmogorov-Smirnov normality test on both variables. The outcome (Table 4) indicates that they do not follow a normal distribution. Furthermore, we tested various transformations (decimal logarithmic, natural logarithmic, and square root transformation), but all of them were unsatisfactory for the two variables created. Table 4 : Normality test of the variables and their transformations. Thus, to conduct the significance analysis, we finally opted for the non-parametric Wilcoxon test for paired data. The result (Table 5) shows that both types of pauses were made by the majority of the participants, with an average of 96.5% for P-pauses and 89.2% for T-pauses. This difference is statistically significant, and the outcome would have been the same if a parametric test such as the paired Student's t-test had been used (p < 0.001), which reinforces the reliability of the obtained result. Table 5 : Comparison of the mean durations of P- and T-pauses realised. Mean Standard deviation Difference in means p-value* Proportion of P-pauses 0.9653 0.0794 0.0729 < 0.001 Proportion of T-pauses 0.8924 0.0667 *Obtained using Wilcoxon signed-rank test 3.2 Pause duration We calculated the mean duration of the 7 T-pauses and the 5 P-pauses (Table 3). To analyse whether the observed difference can be considered significant, we conducted a normality test on both variables using the Kolmogorov-Smirnov test. The outcome (Table 6) indicates that they do not follow a normal distribution. Additionally, we tested various transformations (decimal logarithmic, natural logarithmic, and square root transformation), but all of them were unsatisfactory for the T-pause duration variable. Table 6 : Normality test of the variables and their transformations. Thus, as in the previous case, we finally decided to conduct the significance analysis using the non-parametric Wilcoxon test for paired data. The result (Table 7) shows that P-pauses are significantly longer than T-pauses. This result would have been replicated if a parametric test such as the paired Student's t-test had been used (p = 0.008), once again reaffirming the result obtained. Table 7: Comparison of the mean durations of P- and T-pauses. Media Standard deviation Difference in means p-value* Duration of P-pauses 0.5335 0.2000 0.0258 0.02 Duration of T-pauses 0.5077 0.1658 *Obtained using Wilcoxon signed-rank test 3.3 Pitch movements The pitch movements at the beginning and end of the pauses were analysed in order to determine whether they were related to a change of role, as well as if there were significant differences between the different types of pauses. Table 8 shows the pitch movements at the start and end of the pauses, taking into account the type of pause: Table 8: Pitch movement for each pause type. Tipo de pausa Texto L HL H LH M T1final etxea, 138 1 6 0 3 T1initial Mariak 1 9 132 5 3 T2final gatzezkoa, 143 0 5 2 0 T2initial Peruk 31 17 87 0 15 P1final Mariari: 146 0 2 0 2 P1initial emaidazu 0 75 75 0 0 P2final bat 116 18 7 0 5 P2initial eta 132 1 2 1 11 P3final eta 125 0 2 0 9 P3initial ez 97 32 3 1 3 P4final ez 109 33 3 1 3 P4initial ekarri 3 5 134 3 5 T3final handia. 138 2 2 1 7 T3initial urtu 3 6 128 3 10 T4final zen, 131 0 7 3 4 T4initial oholezko 20 36 77 1 16 T5final etxera. 135 0 6 1 4 T5initial eta 30 3 59 5 53 P5final hartu 125 2 5 0 17 P5initial zeuk 17 6 58 0 68 T6final eman, 25 10 4 0 0 T6initial ezta? 2 0 147 0 1 T7final ezta? 2 0 147 0 1 T7initial orain 1 15 130 0 4 Table 9 shows the final boundary tones produced before T- and P-pauses: Table 9: Association between pause type and final boundary tone. L HL H LH M P final 85.1% (621) 7.3% (53) 2.6% (19) 0.1% (1) 4.9% (36) 100% (730) T final 76.7% (712) 1.4% (13) 19.1% (177) 0.8% (7) 2% (19) 100% (928) The data show a significant association (χ² = 146.01; p-value < 0.001; V = 0.297) of moderate strength. There is a considerably higher prevalence of HL tones in final P-pauses than in final T-pauses (7.3% versus 1.4%). Additionally, the results indicate a markedly higher percentage of H tones in final T-pauses compared to final P-pauses (19.1% versus 2.6%). Figure 1 shows the percentage of final boundary tone types. Table 10 shows initial boundary tones produced after T and P-pauses: Table 10: Association between pause type and initial boundary tone. L HL H LH M P initial 34% (249) 16.3% (119) 37.2% (272) 0.7% (5) 11.9% (87) 100% (732) T initial 8.4% (88) 8.2% (86) 72.4% (760) 1.3% (14) 9.7% (102) 100% (1050) The data show a significant association (χ² = 270.3; p-value < 0.001; V = 0.389) of moderate strength. There is a substantially higher prevalence of HL tones in initial P-pauses compared to initial T-pauses (34% versus 8.4%). Moreover, the results shown on figure 2 also indicate a notably higher percentage of H tones in initial T-pauses than in initial P-pauses (72.4% versus 37.2%). 4. Conclusions and Discussion In primary school classrooms, the reading aloud of texts, both by teachers and students, forms the foundation for comprehensible and meaningful learning. The non-university academic regulations for Basic Education (BOPV, Annex II to Decree 77/2023 of May 30) establish reading aloud within the realm of language and literature as one of several activities that serve to create texts with a playful, artistic, and creative goal: It is proposed that work is carried out in the classroom using a selection of literary texts suited to the interests and needs of children, in various formats, which will be organised around reading paths based on various criteria (by theme, literary genre, etc.) so that students can make connections between them and begin constructing an initial literary map. These texts, in addition to being the starting point for various activities (listening to texts; guided, accompanied, or independent reading, silent or aloud, with appropriate intonation and rhythm; dramatised reading, recitation, rhetorical games, etc.), will also serve as models for other texts with a playful, artistic, and creative aim, as well as for establishing dialogues encompassing other artistic and cultural expressions. Therefore, we must work on reading aloud in the classroom as a professional skill for future teachers, from linguistic (lexical, semantic, syntactic, and pragmatic components), non-linguistic (expression of intentions and attitudes), and paralinguistic (manifestation of emotions) perspectives (Fujisaki, 2004). Therefore, they can stir emotions and leave a mark, telling stories that inspire dreams and imagination, as well as teach through explanatory texts, and provide instructions for playing. One characteristic of narrative texts, such as stories, is the dialogue between different characters through distinct interventions, where two separate interventions by the same speaker occur (Briz, 2006). This shift in interventions can happen without a change in voice, or the boundary between one intervention and the next can be marked by mechanisms like pauses and boundary or initial tones. In spontaneous speech, prosodic features gain importance, such as final intonation, final syllable duration, pitch fall, and sonority, in addition to gestural and syntactic characteristics (Duncan, 1972, 1974, cited by Levinson and Torreira, 2015). The Val.Es.Co. Group (2014) identifies the pause as one of the most crucial elements for delineating coherent structural units, known as prosodic groups, which define acts. 2 According to the Val.Es.Co. Group (2014), drawing on Cabedo (2009, 2011), there are four prosodic factors that function as demarcative resources, segmenting discourse into acts: tonal inflection, duration, tonal adjustment with the following intonational unit, and pause. Intonation plays a key role in predicting changes in turn-taking during spontaneous speech. Holler et al. (2015) cited several studies (Keitel and Daum; Lammertink et al.) showing that 2- and 3-year-old children use prosodic signals to determine when these changes occur. On the topic of pauses between acts, Levinson and Torreira (2015) outline a series of rules in spontaneous, unprepared conversations, predicting that pauses within a single speaker’s turn are longer than those between speakers; they provide specifics on how much longer, referencing work by Bosch and colleagues in 2005: “Bosch et al., 2005 report gaps between continuations by the same speaker to be about 140 ms (c. 25%) longer than the average gap in turn transitions between different speakers.” (Levinson and Torreira, 2015: 11) Taking into account this characterisation of spoken language, we have analysed pauses and pitch changes as strategies or mechanisms for turn-taking in reading aloud. The results of our study demonstrate that pauses are indeed used as a strategy for role or turn changes, and statistically significant differences are shown, both in terms of frequency and duration, between orthographically marked pauses (T-pauses) and those that allow a role shift (P-pauses). As for the pitch movements before and after prosodic groups, we observe a significantly greater prevalence of HL tones in final P-pauses compared to final T-pauses. Additionally, the results also show a significantly higher percentage of H tones in final T-pauses than in final P-pauses. Meanwhile, there is a significantly greater prevalence of HL tones in initial P-pauses compared to initial T-pauses, and a significantly higher percentage of H tones in initial T-pauses compared to initial P-pauses. If we compare the results of the present study with those of Bosch et al. (2005), the observations about reading aloud do not match, since our analysis shows that P-pauses are significantly longer than T-pauses. This elongation coincides with the role shift represented by the pauses. As a summary of what has been said, we can identify the following sequences as the most common when reading aloud: HL[P]HL and H[T]H. Declarations Author Contribution These authors contributed equally to this work Data Availability The datasets generated and analysed during the current study are not publicly available due to the fact that individual privacy is compromised but are available from the corresponding author on reasonable request. References Benjamin RG, Schwanenflugel PJ (2010) Text complexity and oral reading prosody in young readers. Read Res Q J 45:388–404 Boersma P, Weenink D (2023) Praat: doing phonetics by computer [Computer program]. Version 6.3.10, retrieved 3 May 2023 from http://www.praat.org/ BOPV (2023) Boletín Oficial del País Vasco. Anexo II Al decreto 77/2023 de 30 de Mayo https://www.euskadi.eus/web01-bopv/es/bopv2/datos/2023/06/2302729a.pdf Bosch L, Oostdijk N, Boves L (2005) On temporal aspects of turn-taking in conversational dialogues. Speech Commun J 47:80–86. 10.1016/j.specom.2005.05.009 Briz A (2006) La segmentación de una conversación en diálogos. Oralia J 9:45–71 Cabedo A (2009) La segmentación prosódica en español coloquial. Quaderns de Filologia de la Universidad de Valencia, Valencia Cabedo A (2011) Hacia un modelo predictivo para la segmentación prosódica del discurso oral coloquial: MESTEL (Modelo Estadístico para la selección de Términos Entonativos Ligados). Oralia: Análisis del discurso oral J 14:85–104 Cestero Mancera AM (1994) Intercambios de turnos de habla en la conversación en lengua española. Revista Española De Lingüística J 24(1):77–100 Recovered from. http://revista.sel.edu.es/index.php/revista/article/view/1391 Ceyhan S, Yildiz M (2021) The effect of interactive read aloud on student comprehension, reading motivation, and reading fluency. Int Electron J Elementary Educ J 13(4):421–431. https://files.eric.ed.gov/fulltext/EJ1298033.pdf Cova Y (2004) La práctica de la lectura en voz alta en el hogar y la escuela a favor de niños y niñas. Sapiens Revista Universitaria de Investigación J 5(2):53–66 Etxebarria A, Gaminde I, Romero A, Iglesias A (2016) Desarrollo de la competencia prosódica en la lectura en voz alta: importancia de las pausas. Ocnos Revista de Estudios sobre Lectura J 15(2):110–118 Fujisaki H (2004) Information, Prosody, and Modeling. Proceedings of Speech Prosody. Nara, Japón Gaminde I, Romero A, Garay U, Etxebarria A (2014) Los tonos de frontera de las oraciones interrogativas pronominales producidas por hablantes bilingües precoces en vasco y español. Z für romanische Philologie J 130:105–120 Gaminde I, Etxebarria A, Aurrekoetxea G, Garay U, Romero A (2015) Influencia de la variación diatópica y la lengua materna en la percepción de emociones en la lengua. Círculo de Lingüística Aplicada la Comunicación J 63:152–172 Gil J (2007) Fonética para profesores de español: De la teoría a la práctica. Arco Libros, Madrid Grupo Val.Es.Co (2014) Las unidades del discurso oral. La propuesta Val.Es.Co. de segmentación de la conversación (coloquial). Estudios de Lingüística del Español J 35 1:11–71 Holler J, Kendrick KH, Casillas M, Levinson SC (eds) (2016) Turn-Taking in Human Communicative Interaction. Frontiers Media, Lausanne Hualde JI (2003) El modelo métrico y autosegmental. In: Prieto P (ed) Teorías de la Entonación. Ariel Lingüística, Barcelona, pp 155–184 Keitel A, Prinz W, Friederici AD, von Hofsten C, Daum MM (2013) Perception of conversations: the importance of semantics and intonation in children’s development. J Exp Child Psychol J 116:264–277. 10.1016/j.jecp.2013.06.00 Levinson SC, Torreira F (2015) Timing in turn-taking and its implications for processing models of language. Front Psychol J 6. 10.3389/fpsyg.2015.00731 PMID: 26124727; PMCID: PMC4464110 Liberman AM, Prince A (1977) On stress and linguistic rhythm. Linguistic Inq J 8:249–336 Llisterri J (2016) Los elementos suprasegmentales. Available via Joaquimllisterri.cat. http://liceu.uab.es/~joaquim/phonetics/fon_prosod/suprasegmentales.html . Accessed 05 Jan 2025 Machuca MJ, Llisterri J, Ríos A (2015) Las pausas sonoras y los alargamientos del español: Un estudio preliminar. Revista Normas J 5:81–96 Miller J, Schwanenf Lugellugel PJ (2006) Prosody of syntactically complex sentences in the oral reading of young children. J Educational Psychol J 98(4):839–853 Miller J, Schwanenflugel PJ (2008) A longitudinal study of the development of reading prosody as a dimension of oral reading fluency in early elementary school children. Read Res Q J 43(4):336–354 Nespor M, Vogel I (1986) Prosodic phonology. Foris, Dordrecht Oelsner N, 04/10/ (2018) (Lectores de tabaquería, una profesión en Cuba. Available via Euronews. https://es.euronews.com/2018/10/04/lector-de-tabaqueria-una-profesion-en-cuba . Accessed 05 Jan 2025 Páez M, Roque K, Mirabal AC (2009) La lectura: un acercamiento a su evolución histórica y su conceptualización. Mendive Revista de Educación J 7(3):194–200 Prieto P (2015) Intonational meaning. WIREs Cogn Sci J 6:371–381 R Core Team (2020) R: A language and environment for statistical computing. R Foundation for Statistical Computing Rasinski T (1989) Effects of repeated reading and listening-while-reading on reading fluency. J Educational Res J August 83(3):147–150 Real Academia Española (2019a) Diccionario de la lengua española (23a ed.). Available via https://www.rae.es . Accesed 05 Jan 2025 Real Academia Española (2019b) Diccionario panhispánico de dudas. Signos ortográficos (2ª ed.). Available via https://www.rae.es/dpd/signos ortográficos . Accessed 05 Jan 2025 Rose R (1998) The communicative value of filled pauses in spontaneous speech. Dissertation, University of Birmingham. Available via http://www.roselab.sci.waseda.ac.jp/resources/file/madissertation.pdf . Accessed 05 Jan 2025 Schwanenflugel PJ, Hamilton AM, Kuhn MR, Wisenbaker JM, Stahl SA (2004) Becoming a fluent reader: Reading skill and prosodic features in the oral reading of young readers. J Educational Psychol J 96(1):119–129 Selkirk EO (1978) On prosodic structure and its relation to syntactic structure. In: Fretheim T (ed) Nordic Prosody J II:111–140 Valdés G (2022) Producción de textos narrativos en el aula de historia: análisis lexicométrico de una propuesta interdisciplinar. Onomázein J 55:32–49 Footnotes The text is provided by Badihardugu Euskara Elkartea on their website web https://ahotsak.eus . “It is necessary to pay attention to prosodic markers such as pauses, the presence of a complete melodic contour, or the use of marked final intonation in declarative statements (with an ascending or suspended tone), as these may be crucial in considering a structure as an act.” (Grupo Val.Es.Co, 2014 : 47) Additional Declarations No competing interests reported. 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Introduction","content":"\u003cp\u003eReading aloud has been described as \u0026ldquo;a social activity which, through intonation, pronunciation, diction, fluency, rhythm, and volume of voice, brings written text to life, giving it meaning so that the listener can dream, imagine, or express their emotions and feelings\u0026rdquo; (Cova, 2004). This practice has historically served to meet various human needs. P\u0026aacute;ez, Roque, and Mirabal (2009) reflect on the historical evolution of reading, explaining that reading aloud was a tool for learning to read in Roman times. In addition, reading at home\u0026mdash;often performed by a slave\u0026mdash;fulfilled a social function. In Cuba, the lector de tabaquer\u0026iacute;a tradition (meaning \u0026lsquo;tobacco factory reader\u0026rsquo;) continues to play a significant role even today; so much so that in 2012, the tradition of reading aloud was officially recognised as part of cultural heritage (Oelsner, 2018).\u003c/p\u003e\n\u003cp\u003eMore recently, teachers\u0026rsquo; reading aloud has been linked to improved comprehension and student motivation (Ceyhan \u0026amp; Yıldız, 2021), with emphasis on the importance of fostering reading fluency, which is defined by Rasinski (1989) as the natural oral delivery of written text, comprising three key elements: decoding, automaticity in word recognition, and the appropriate use of prosody, or effective oral expression.\u003c/p\u003e\n\u003cp\u003eThe Royal Spanish Academy (2019a) defines prosody as the phonetic and phonological study of units of speech above phoneme level, namely syllables and other sequences within words or sentences. Nespor and Vogel (1986), drawing on the work of Liberman and Prince (1977) and Selkirk (1978), gave the elements that fall under prosody in the following hierarchical order: rhyme, syllable, foot, phonological word, phonological phrase, intonational phrase, and utterance.\u003c/p\u003e\n\u003cp\u003ePauses are defined as \u0026ldquo;silences or vocalisations interspersed in speech\u0026rdquo; (Gil, 2007: 544), which means they can be either silent or audible. Silent or \u0026lsquo;empty\u0026rsquo; pauses can be related to breathing or the interruption of phonation, whereas audible pauses, or \u0026lsquo;filled\u0026rsquo; pauses, are vowel elongations or vocalisations such as \u0026ldquo;eh\u0026rdquo; or \u0026ldquo;mm\u0026rdquo; (Llisterri, 2016). Audible pauses can include repetitions, self-corrections, repeated starts or false starts, in addition to elongations (Rose, 1998). In an analysis of audible pauses and elongations in Spanish, Machuca et al. (2015) concluded that pauses serve to signal to the listener when it is an appropriate time to take the floor, although they are also found in communicative situations where the speaker knows they will not be interrupted, sometimes more frequently.\u003c/p\u003e\n\u003cp\u003eIn written text, punctuation marks are graphic symbols that aid the correct reading and interpretation of a text. More specifically, punctuation marks serve to delimit the various units of discourse so as to facilitate understanding and avoid potential ambiguities (Royal Spanish Academy, 2019b). Studies have found that a substantial percentage of pauses should be avoided when reading aloud, as they often divide structures (phrases and words) incorrectly (Etxebarria et al., 2016: 115), thereby hindering comprehension of the text.\u003c/p\u003e\n\u003cp\u003eTherefore, in oral discourse, what helps to prevent potential comprehension difficulties is the correction of silences and the change in F0 (fundamental frequency) before a pause (Benjamin and Schwanenflugel, 2010; Miller and Schwanenflugel, 2006, 2008; Schwanenflugel et al., 2004). That is, the change in boundary tone before and after a pause, which refers to the fluctuations in pitch that occur at the end of an intonational phrase (Prieto, 2015). These tonal units are represented by H (High) and L (Low), and can be monotonal or bitonal. An asterisk (*) indicates a high pitch or its association with the stressed syllable, while the symbol % marks the boundary at the end of a phrase or prosodic group (Hualde, 2003; Prieto, 2015). There is also a boundary tone represented by M%, which, Hualde (2003) explains, has sometimes been used to indicate a final mid pitch that contrasts with a final rise and fall. In a study of boundary tones conducted in the seven provinces where Basque is spoken, the following combinations were observed: H%, L%, M%, HL%, and LH% (Gaminde et al., 2014). However, in previous studies (Gaminde et al., 2014; Gaminde et al., 2015), the M% tone was found to occur more in spontaneous speech than in texts read aloud. Cestero (1994: 21) describes pitch movement as the \u0026ldquo;fundamental or primary components that signal or indicate points of transition\u0026rdquo; in spontaneous dialogue.\u003c/p\u003e\n\u003cp\u003eThe main objective of this work is to describe the number of pauses and their duration, as well as the tonal movements, in order to characterise the role change, referred to as \u0026lsquo;turn\u0026rsquo; in spontaneous dialogue. For that purpose, we have recorded students reading aloud a brief narrative text,\u003ca href=\"#_ftn1\" name=\"_ftnref1\" title=\"\"\u003e\u003c/a\u003e\u003csup\u003e1\u003c/sup\u003echosen because it is a familiar genre and the one that has been used most (Vald\u0026eacute;s, 2022) by primary education teachers.\u003c/p\u003e"},{"header":"2. Corpus and Methodology","content":"\u003cp\u003eTo gather the corpus under study, 150 bilingual Basque university students were selected, of whom 110 were women and 40 were men. Of the 150 students, 115 had acquired the Basque language in a school environment, and 35 at home.\u003c/p\u003e\n\u003cp\u003eRecordings were carried out in a designated reading lab, using Marantz PMD620 and ZOOMH4 recorders and an external microphone. Below is the text that participants were asked to read (Table 1):\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e: Text read aloud by participants.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"568\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 284px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eText in Basque\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 285px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEnglish translation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 284px;\"\u003e\n \u003cp\u003ePeruk zeukan oholezko etxea, Mariak zeukan gatzezkoa.\u0026nbsp;\u003c/p\u003e\n \u003cp\u003ePeruk Mariari: \u0026ldquo;Emaidazu gatz pixkatxo bat\u0026rdquo; eta \u0026ldquo;Ez!\u0026rdquo;\u003c/p\u003e\n \u003cp\u003eEkarri zuen euri zaparrada handia. Urtu zitzaion Mariari etxea eta gero Peruren etxera joan zen, oholezko etxera.\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eEta ez zuen hartu. \u0026ldquo;Zeuk ere ez didazu gatzik eman, ezta? Orain egin lo kalean.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 285px;\"\u003e\n \u003cp\u003ePeru had a house made of wood; Maria had one made of salt.\u003c/p\u003e\n \u003cp\u003ePeru said to Maria: \u0026ldquo;Give me some salt\u0026rdquo; and she said \u0026ldquo;No!\u0026quot;\u003c/p\u003e\n \u003cp\u003eThere was a big rainstorm, and Maria\u0026rsquo;s house dissolved, so she went to Peru\u0026rsquo;s house, to the wooden house.\u003c/p\u003e\n \u003cp\u003eHowever, he did not open the door. \u0026ldquo;Well, you didn\u0026rsquo;t give me any salt either, did you? Now you\u0026rsquo;re going to sleep out on the street.\u0026rdquo;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eThis text is composed of twelve pauses, five of which allow for a change of role (P1, P2, P3, P4, and P5) from one character to another, as shown in Table 2:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e: Representation of pauses P1, P2, P3, P4 and P5.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"556\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 556px;\"\u003e\n \u003cp\u003ePeruk zeukan oholezko etxea, \u003cstrong\u003eT1\u003c/strong\u003e Mariak zeukan gatzezkoa. \u003cstrong\u003eT2\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003ePeruk Mariari: \u0026nbsp; \u003cstrong\u003e\u0026nbsp;P1\u003c/strong\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026ldquo;Emaidazu gatz pixkatxo bat\u0026rdquo; \u0026nbsp; \u003cstrong\u003eP2\u003c/strong\u003e\u0026nbsp; \u0026nbsp;eta \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003cstrong\u003eP3\u003c/strong\u003e\u0026nbsp; \u0026nbsp; \u0026ldquo;Ez!\u0026rdquo; \u0026nbsp; \u0026nbsp; \u003cstrong\u003eP4\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eEkarri zuen euri zaparrada handia. \u003cstrong\u003eT3\u003c/strong\u003e Urtu zitzaion Mariari etxea eta gero Peruren etxera joan zen, \u003cstrong\u003eT4\u003c/strong\u003e oholezko etxera. \u003cstrong\u003eT5\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eEta ez zuen hartu. \u003cstrong\u003eP5\u003c/strong\u003e \u0026ldquo;Zeuk ere ez didazu gatzik eman, \u003cstrong\u003eT6\u003c/strong\u003e ezta? \u003cstrong\u003eT7\u003c/strong\u003e Orain egin lo kalean.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAfter giving participants a few moments to become familiar with the text, they were asked to read aloud, and recording began. The recorded texts were processed and transcribed using Praat software (Boersma \u0026amp; Weenink, 2023). Changes in the fundamental frequency curve before and after the pauses were marked, using autosegmental-metrical notation (L, H, HL, or LH), and the duration of the pauses was also observed. The collected data were then analysed.\u003c/p\u003e"},{"header":"3. Findings","content":"\u003cp\u003eIn accordance with the objectives outlined in the previous section, three kinds of findings were examined with the aim of characterising changes in role during the reading aloud of a short story: 1) the number of pauses, 2) the duration of the pauses, and 3) pitch movement.\u003c/p\u003e\n\u003ch3\u003e3.1 Number of pauses\u003c/h3\u003e\n\u003cp\u003eIn the narrative text that the bilingual Basque university students read aloud, two types of pauses were identified: 1) P-pauses, which allow a change of turn between the characters, and 2) T-pauses, which correspond to punctuation marks indicating a stop or pause. Table 3 shows the quantity of each type of pause and its duration range, as well as the mean and standard deviation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e: Quantity, mean duration and standard deviation for each type of pause.\u003c/p\u003e\n\u003cdiv align=\"\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"566\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of pause\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eQuantity\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRange\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMean duration\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard deviation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eT1 (coma)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0.005‒1.054\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.398\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.196\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eT2 (punto)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0.119‒2.202\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.779\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.287\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eT3 (punto)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0.065‒1.726\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.597\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.268\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eT4 (coma)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e148\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0‒1.680\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.380\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.200\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eT5 (punto)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0.280‒1.793\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.892\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.308\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eT6 (coma)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0‒0.402\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.039\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.079\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eT7 (punto)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0.051‒1.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.466\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.209\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eP1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0.005‒1.099\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.525\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.235\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eP2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e146\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0‒1.105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.388\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.221\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eP3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0‒1.078\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.236\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.212\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eP4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0.282‒2.088\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.902\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.333\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 93px;\"\u003e\n \u003cp\u003eP5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 109px;\"\u003e\n \u003cp\u003e0.080‒1.868\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 126px;\"\u003e\n \u003cp\u003e0.615\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 144px;\"\u003e\n \u003cp\u003e0.274\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eAs can be seen in Table 3, the least frequent T-pause is the T6 comma in the sentence that ends with a question tag requesting confirmation of what was previously stated: \u0026ldquo;Zeuk ere ez didazu gatzik eman, T6 ezta?\u0026rdquo; (\u0026ldquo;Well, you didn\u0026rsquo;t give me any salt either, did you?\u0026rdquo;). Similarly, P3 is the least frequent P-pause, presumably because it occurs between two monosyllabic words and the readers did not feel the need to pause. From these data, we infer that all of pauses occur frequently, whether marked by punctuation or indicating a turn transition.\u003c/p\u003e\n\u003cp\u003eTo check for statistically significant differences in the number of pauses made, we calculated the proportion of T-pauses and P-pauses, where 0 indicates none and 1 indicates the total possible pauses (7 for T-pauses and 5 for P-pauses).\u003c/p\u003e\n\u003cp\u003eIn order to analyse whether this difference can be considered significant, we performed a Kolmogorov-Smirnov normality test on both variables. The outcome (Table 4) indicates that they do not follow a normal distribution. Furthermore, we tested various transformations (decimal logarithmic, natural logarithmic, and square root transformation), but all of them were unsatisfactory for the two variables created.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4\u003c/strong\u003e: Normality test of the variables and their transformations.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"1207\" height=\"390\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eThus, to conduct the significance analysis, we finally opted for the non-parametric Wilcoxon test for paired data. The result (Table 5) shows that both types of pauses were made by the majority of the participants, with an average of 96.5% for P-pauses and 89.2% for T-pauses. This difference is statistically significant, and the outcome would have been the same if a parametric test such as the paired Student\u0026apos;s t-test had been used (p \u0026lt; 0.001), which reinforces the reliability of the obtained result.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5\u003c/strong\u003e: Comparison of the mean durations of P- and T-pauses realised.\u003c/p\u003e\n\u003cdiv align=\"\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"520\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 146px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMean\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 96px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard deviation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 150px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDifference in means\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ep-value*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 146px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eProportion of P-pauses\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.9653\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 96px;\"\u003e\n \u003cp\u003e0.0794\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 150px;\"\u003e\n \u003cp\u003e0.0729\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 69px;\"\u003e\n \u003cp\u003e\u0026lt; 0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 146px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eProportion of T-pauses\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.8924\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 96px;\"\u003e\n \u003cp\u003e0.0667\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\" style=\"width: 520px;\"\u003e\n \u003cp\u003e*Obtained using Wilcoxon signed-rank test\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003ch3\u003e3.2 Pause duration\u003c/h3\u003e\n\u003cp\u003eWe calculated the mean duration of the 7 T-pauses and the 5 P-pauses (Table 3). To analyse whether the observed difference can be considered significant, we conducted a normality test on both variables using the Kolmogorov-Smirnov test.\u003c/p\u003e\n\u003cp\u003eThe outcome (Table 6) indicates that they do not follow a normal distribution. Additionally, we tested various transformations (decimal logarithmic, natural logarithmic, and square root transformation), but all of them were unsatisfactory for the T-pause duration variable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 6\u003c/strong\u003e: Normality test of the variables and their transformations.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" style=\"width: 1210px;\" width=\"1210\" height=\"491\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eThus, as in the previous case, we finally decided to conduct the significance analysis using the non-parametric Wilcoxon test for paired data. The result (Table 7) shows that P-pauses are significantly longer than T-pauses. This result would have been replicated if a parametric test such as the paired Student\u0026apos;s t-test had been used (p = 0.008), once again reaffirming the result obtained.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 7:\u0026nbsp;\u003c/strong\u003eComparison of the mean durations of P- and T-pauses.\u003c/p\u003e\n\u003cdiv align=\"\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"508\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 134px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMedia\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 96px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStandard deviation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 150px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDifference in means\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ep-value*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 134px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDuration of P-pauses\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.5335\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 96px;\"\u003e\n \u003cp\u003e0.2000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 150px;\"\u003e\n \u003cp\u003e0.0258\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 69px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 134px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDuration of T-pauses\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e0.5077\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 96px;\"\u003e\n \u003cp\u003e0.1658\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\" style=\"width: 508px;\"\u003e\n \u003cp\u003e*Obtained using Wilcoxon signed-rank test\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003ch3\u003e3.3 Pitch movements\u003c/h3\u003e\n\u003cp\u003eThe pitch movements at the beginning and end of the pauses were analysed in order to determine whether they were related to a change of role, as well as if there were significant differences between the different types of pauses.\u003c/p\u003e\n\u003cp\u003eTable 8 shows the pitch movements at the start and end of the pauses, taking into account the type of pause:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 8:\u0026nbsp;\u003c/strong\u003ePitch movement for each pause type.\u003c/p\u003e\n\u003cdiv align=\"\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"583\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTipo de pausa\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 97px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTexto\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eL\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHL\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 78px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eM\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT1final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eetxea,\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e138\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT1initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eMariak\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e132\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT2final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003egatzezkoa,\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e143\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT2initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003ePeruk\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP1final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eMariari:\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e146\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP1initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eemaidazu\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP2final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003ebat\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e116\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP2initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eeta\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e132\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP3final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eeta\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e125\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP3initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eez\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP4final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eez\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e109\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP4initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eekarri\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e134\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT3final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003ehandia.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e138\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT3initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eurtu\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT4final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003ezen,\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e131\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT4initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eoholezko\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT5final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eetxera.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e135\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT5initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eeta\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP5final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003ehartu\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e125\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP5initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003ezeuk\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e68\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT6final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eeman,\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT6initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eezta?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e147\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT7final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eezta?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e147\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT7initial\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eorain\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 66px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e130\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 86px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eTable 9 shows the final boundary tones produced before T- and P-pauses:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 9:\u0026nbsp;\u003c/strong\u003eAssociation between pause type and final boundary tone.\u003c/p\u003e\n\u003cdiv align=\"\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"486\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eL\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHL\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 62px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eM\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 84px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e85.1%\u003c/p\u003e\n \u003cp\u003e(621)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e7.3%\u003c/p\u003e\n \u003cp\u003e(53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 62px;\"\u003e\n \u003cp\u003e2.6%\u003c/p\u003e\n \u003cp\u003e(19)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e0.1%\u003c/p\u003e\n \u003cp\u003e(1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e4.9%\u003c/p\u003e\n \u003cp\u003e(36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 84px;\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003cp\u003e(730)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eT final\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e76.7%\u003c/p\u003e\n \u003cp\u003e(712)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e1.4%\u003c/p\u003e\n \u003cp\u003e(13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 62px;\"\u003e\n \u003cp\u003e19.1%\u003c/p\u003e\n \u003cp\u003e(177)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e0.8%\u003c/p\u003e\n \u003cp\u003e(7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e2%\u003c/p\u003e\n \u003cp\u003e(19)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 84px;\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003cp\u003e(928)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eThe data show a significant association (\u0026chi;\u0026sup2; = 146.01; p-value \u0026lt; 0.001; V = 0.297) of moderate strength. There is a considerably higher prevalence of HL tones in final P-pauses than in final T-pauses (7.3% versus 1.4%). Additionally, the results indicate a markedly higher percentage of H tones in final T-pauses compared to final P-pauses (19.1% versus 2.6%). Figure 1 shows the percentage of final boundary tone types.\u003c/p\u003e\n\u003cp\u003eTable 10 shows initial boundary tones produced after T and P-pauses:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 10:\u0026nbsp;\u003c/strong\u003eAssociation between pause type and initial boundary tone.\u003c/p\u003e\n\u003cdiv align=\"\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"374\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eL\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHL\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 43px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLH\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eM\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 52px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003eP initial\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e34%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(249)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e16.3%\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;(119)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e37.2%\u003c/p\u003e\n \u003cp\u003e(272)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 43px;\"\u003e\n \u003cp\u003e0.7%\u003c/p\u003e\n \u003cp\u003e(5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e11.9%\u003c/p\u003e\n \u003cp\u003e(87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 52px;\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003cp\u003e(732)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003eT initial\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e8.4%\u003c/p\u003e\n \u003cp\u003e(88)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e8.2%\u003c/p\u003e\n \u003cp\u003e(86)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e72.4%\u003c/p\u003e\n \u003cp\u003e(760)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 43px;\"\u003e\n \u003cp\u003e1.3%\u003c/p\u003e\n \u003cp\u003e(14)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e9.7%\u003c/p\u003e\n \u003cp\u003e(102)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 52px;\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003cp\u003e(1050)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eThe data show a significant association (\u0026chi;\u0026sup2; = 270.3; p-value \u0026lt; 0.001; V = 0.389) of moderate strength. There is a substantially higher prevalence of HL tones in initial P-pauses compared to initial T-pauses (34% versus 8.4%). Moreover, the results shown on figure 2 also indicate a notably higher percentage of H tones in initial T-pauses than in initial P-pauses (72.4% versus 37.2%).\u003c/p\u003e"},{"header":"4. Conclusions and Discussion","content":"\u003cp\u003eIn primary school classrooms, the reading aloud of texts, both by teachers and students, forms the foundation for comprehensible and meaningful learning. The non-university academic regulations for Basic Education (BOPV, Annex II to Decree 77/2023 of May 30) establish reading aloud within the realm of language and literature as one of several activities that serve to create texts with a playful, artistic, and creative goal:\u003c/p\u003e\n\u003cp\u003eIt is proposed that work is carried out in the classroom using a selection of literary texts suited to the interests and needs of children, in various formats, which will be organised around reading paths based on various criteria (by theme, literary genre, etc.) so that students can make connections between them and begin constructing an initial literary map. These texts, in addition to being the starting point for various activities (listening to texts; guided, accompanied, or independent reading, silent or aloud, with appropriate intonation and rhythm; dramatised reading, recitation, rhetorical games, etc.), will also serve as models for other texts with a playful, artistic, and creative aim, as well as for establishing dialogues encompassing other artistic and cultural expressions.\u003c/p\u003e\n\u003cp\u003eTherefore, we must work on reading aloud in the classroom as a professional skill for future teachers, from linguistic (lexical, semantic, syntactic, and pragmatic components), non-linguistic (expression of intentions and attitudes), and paralinguistic (manifestation of emotions) perspectives (Fujisaki, 2004). Therefore, they can stir emotions and leave a mark, telling stories that inspire dreams and imagination, as well as teach through explanatory texts, and provide instructions for playing.\u003c/p\u003e\n\u003cp\u003eOne characteristic of narrative texts, such as stories, is the dialogue between different characters through distinct interventions, where two separate interventions by the same speaker occur (Briz, 2006). This shift in interventions can happen without a change in voice, or the boundary between one intervention and the next can be marked by mechanisms like pauses and boundary or initial tones. In spontaneous speech, prosodic features gain importance, such as final intonation, final syllable duration, pitch fall, and sonority, in addition to gestural and syntactic characteristics (Duncan, 1972, 1974, cited by Levinson and Torreira, 2015). The Val.Es.Co. Group (2014) identifies the pause as one of the most crucial elements for delineating coherent structural units, known as prosodic groups, which define acts.\u003ca href=\"#_ftn1\" name=\"_ftnref1\" title=\"\"\u003e\u003c/a\u003e\u003csup\u003e2\u003c/sup\u003eAccording to the Val.Es.Co. Group (2014), drawing on Cabedo (2009, 2011), there are four prosodic factors that function as demarcative resources, segmenting discourse into acts: tonal inflection, duration, tonal adjustment with the following intonational unit, and pause. Intonation plays a key role in predicting changes in turn-taking during spontaneous speech. Holler et al. (2015) cited several studies (Keitel and Daum; Lammertink et al.) showing that 2- and 3-year-old children use prosodic signals to determine when these changes occur. On the topic of pauses between acts, Levinson and Torreira (2015) outline a series of rules in spontaneous, unprepared conversations, predicting that pauses within a single speaker\u0026rsquo;s turn are longer than those between speakers; they provide specifics on how much longer, referencing work by Bosch and colleagues in 2005:\u003c/p\u003e\n\u003cp\u003e\u0026ldquo;Bosch et al., 2005 report gaps between continuations by the same speaker to be about 140 ms (c. 25%) longer than the average gap in turn transitions between different speakers.\u0026rdquo; (Levinson and Torreira, 2015: 11)\u003c/p\u003e\n\u003cp\u003eTaking into account this characterisation of spoken language, we have analysed pauses and pitch changes as strategies or mechanisms for turn-taking in reading aloud. The results of our study demonstrate that pauses are indeed used as a strategy for role or turn changes, and statistically significant differences are shown, both in terms of frequency and duration, between orthographically marked pauses (T-pauses) and those that allow a role shift (P-pauses).\u003c/p\u003e\n\u003cp\u003eAs for the pitch movements before and after prosodic groups, we observe a significantly greater prevalence of HL tones in final P-pauses compared to final T-pauses. Additionally, the results also show a significantly higher percentage of H tones in final T-pauses than in final P-pauses. Meanwhile, there is a significantly greater prevalence of HL tones in initial P-pauses compared to initial T-pauses, and a significantly higher percentage of H tones in initial T-pauses compared to initial P-pauses.\u003c/p\u003e\n\u003cp\u003eIf we compare the results of the present study with those of Bosch et al. (2005), the observations about reading aloud do not match, since our analysis shows that P-pauses are significantly longer than T-pauses. This elongation coincides with the role shift represented by the pauses. As a summary of what has been said, we can identify the following sequences as the most common when reading aloud: HL[P]HL and H[T]H.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eThese authors contributed equally to this work\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets generated and analysed during the current study are not publicly available due to the fact that individual privacy is compromised but are available from the corresponding author on reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eBenjamin RG, Schwanenflugel PJ (2010) Text complexity and oral reading prosody in young readers. Read Res Q J 45:388\u0026ndash;404\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBoersma P, Weenink D (2023) Praat: doing phonetics by computer [Computer program]. Version 6.3.10, retrieved 3 May 2023 from \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.praat.org/\u003c/span\u003e\u003cspan address=\"http://www.praat.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBOPV (2023) Bolet\u0026iacute;n Oficial del Pa\u0026iacute;s Vasco. Anexo II Al decreto 77/2023 de 30 de Mayo \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.euskadi.eus/web01-bopv/es/bopv2/datos/2023/06/2302729a.pdf\u003c/span\u003e\u003cspan address=\"https://www.euskadi.eus/web01-bopv/es/bopv2/datos/2023/06/2302729a.pdf\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBosch L, Oostdijk N, Boves L (2005) On temporal aspects of turn-taking in conversational dialogues. Speech Commun J 47:80\u0026ndash;86. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.specom.2005.05.009\u003c/span\u003e\u003cspan address=\"10.1016/j.specom.2005.05.009\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBriz A (2006) La segmentaci\u0026oacute;n de una conversaci\u0026oacute;n en di\u0026aacute;logos. Oralia J 9:45\u0026ndash;71\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCabedo A (2009) La segmentaci\u0026oacute;n pros\u0026oacute;dica en espa\u0026ntilde;ol coloquial. Quaderns de Filologia de la Universidad de Valencia, Valencia\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCabedo A (2011) Hacia un modelo predictivo para la segmentaci\u0026oacute;n pros\u0026oacute;dica del discurso oral coloquial: MESTEL (Modelo Estad\u0026iacute;stico para la selecci\u0026oacute;n de T\u0026eacute;rminos Entonativos Ligados). Oralia: An\u0026aacute;lisis del discurso oral J 14:85\u0026ndash;104\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCestero Mancera AM (1994) Intercambios de turnos de habla en la conversaci\u0026oacute;n en lengua espa\u0026ntilde;ola. Revista Espa\u0026ntilde;ola De Ling\u0026uuml;\u0026iacute;stica J 24(1):77\u0026ndash;100 Recovered from. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://revista.sel.edu.es/index.php/revista/article/view/1391\u003c/span\u003e\u003cspan address=\"http://revista.sel.edu.es/index.php/revista/article/view/1391\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCeyhan S, Yildiz M (2021) The effect of interactive read aloud on student comprehension, reading motivation, and reading fluency. Int Electron J Elementary Educ J 13(4):421\u0026ndash;431. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://files.eric.ed.gov/fulltext/EJ1298033.pdf\u003c/span\u003e\u003cspan address=\"https://files.eric.ed.gov/fulltext/EJ1298033.pdf\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCova Y (2004) La pr\u0026aacute;ctica de la lectura en voz alta en el hogar y la escuela a favor de ni\u0026ntilde;os y ni\u0026ntilde;as. Sapiens Revista Universitaria de Investigaci\u0026oacute;n J 5(2):53\u0026ndash;66\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEtxebarria A, Gaminde I, Romero A, Iglesias A (2016) Desarrollo de la competencia pros\u0026oacute;dica en la lectura en voz alta: importancia de las pausas. Ocnos Revista de Estudios sobre Lectura J 15(2):110\u0026ndash;118\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFujisaki H (2004) Information, Prosody, and Modeling. Proceedings of Speech Prosody. Nara, Jap\u0026oacute;n\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGaminde I, Romero A, Garay U, Etxebarria A (2014) Los tonos de frontera de las oraciones interrogativas pronominales producidas por hablantes biling\u0026uuml;es precoces en vasco y espa\u0026ntilde;ol. Z f\u0026uuml;r romanische Philologie J 130:105\u0026ndash;120\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGaminde I, Etxebarria A, Aurrekoetxea G, Garay U, Romero A (2015) Influencia de la variaci\u0026oacute;n diat\u0026oacute;pica y la lengua materna en la percepci\u0026oacute;n de emociones en la lengua. C\u0026iacute;rculo de Ling\u0026uuml;\u0026iacute;stica Aplicada la Comunicaci\u0026oacute;n J 63:152\u0026ndash;172\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGil J (2007) Fon\u0026eacute;tica para profesores de espa\u0026ntilde;ol: De la teor\u0026iacute;a a la pr\u0026aacute;ctica. Arco Libros, Madrid\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGrupo Val.Es.Co (2014) Las unidades del discurso oral. La propuesta Val.Es.Co. de segmentaci\u0026oacute;n de la conversaci\u0026oacute;n (coloquial). Estudios de Ling\u0026uuml;\u0026iacute;stica del Espa\u0026ntilde;ol J 35 1:11\u0026ndash;71\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHoller J, Kendrick KH, Casillas M, Levinson SC (eds) (2016) Turn-Taking in Human Communicative Interaction. Frontiers Media, Lausanne\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHualde JI (2003) El modelo m\u0026eacute;trico y autosegmental. In: Prieto P (ed) Teor\u0026iacute;as de la Entonaci\u0026oacute;n. Ariel Ling\u0026uuml;\u0026iacute;stica, Barcelona, pp 155\u0026ndash;184\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKeitel A, Prinz W, Friederici AD, von Hofsten C, Daum MM (2013) Perception of conversations: the importance of semantics and intonation in children\u0026rsquo;s development. J Exp Child Psychol J 116:264\u0026ndash;277. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jecp.2013.06.00\u003c/span\u003e\u003cspan address=\"10.1016/j.jecp.2013.06.00\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLevinson SC, Torreira F (2015) Timing in turn-taking and its implications for processing models of language. Front Psychol J 6. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3389/fpsyg.2015.00731\u003c/span\u003e\u003cspan address=\"10.3389/fpsyg.2015.00731\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003ePMID: 26124727; PMCID: PMC4464110\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLiberman AM, Prince A (1977) On stress and linguistic rhythm. Linguistic Inq J 8:249\u0026ndash;336\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLlisterri J (2016) Los elementos suprasegmentales. Available via Joaquimllisterri.cat. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://liceu.uab.es/~joaquim/phonetics/fon_prosod/suprasegmentales.html\u003c/span\u003e\u003cspan address=\"http://liceu.uab.es/~joaquim/phonetics/fon_prosod/suprasegmentales.html\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Accessed 05 Jan 2025\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMachuca MJ, Llisterri J, R\u0026iacute;os A (2015) Las pausas sonoras y los alargamientos del espa\u0026ntilde;ol: Un estudio preliminar. Revista Normas J 5:81\u0026ndash;96\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMiller J, Schwanenf Lugellugel PJ (2006) Prosody of syntactically complex sentences in the oral reading of young children. J Educational Psychol J 98(4):839\u0026ndash;853\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMiller J, Schwanenflugel PJ (2008) A longitudinal study of the development of reading prosody as a dimension of oral reading fluency in early elementary school children. Read Res Q J 43(4):336\u0026ndash;354\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNespor M, Vogel I (1986) Prosodic phonology. Foris, Dordrecht\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOelsner N, 04/10/ (2018) (Lectores de tabaquer\u0026iacute;a, una profesi\u0026oacute;n en Cuba. Available via Euronews. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://es.euronews.com/2018/10/04/lector-de-tabaqueria-una-profesion-en-cuba\u003c/span\u003e\u003cspan address=\"https://es.euronews.com/2018/10/04/lector-de-tabaqueria-una-profesion-en-cuba\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Accessed 05 Jan 2025\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eP\u0026aacute;ez M, Roque K, Mirabal AC (2009) La lectura: un acercamiento a su evoluci\u0026oacute;n hist\u0026oacute;rica y su conceptualizaci\u0026oacute;n. Mendive Revista de Educaci\u0026oacute;n J 7(3):194\u0026ndash;200\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePrieto P (2015) Intonational meaning. WIREs Cogn Sci J 6:371\u0026ndash;381\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eR Core Team (2020) R: A language and environment for statistical computing. R Foundation for Statistical Computing\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRasinski T (1989) Effects of repeated reading and listening-while-reading on reading fluency. J Educational Res J August 83(3):147\u0026ndash;150\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eReal Academia Espa\u0026ntilde;ola (2019a) Diccionario de la lengua espa\u0026ntilde;ola (23a ed.). Available via \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.rae.es\u003c/span\u003e\u003cspan address=\"https://www.rae.es\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Accesed 05 Jan 2025\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eReal Academia Espa\u0026ntilde;ola (2019b) Diccionario panhisp\u0026aacute;nico de dudas. Signos ortogr\u0026aacute;ficos (2\u0026ordf; ed.). Available via \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.rae.es/dpd/signos ortogr\u0026aacute;ficos\u003c/span\u003e\u003cspan address=\"https://www.rae.es/dpd/signos ortogr\u0026aacute;ficos\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Accessed 05 Jan 2025\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRose R (1998) The communicative value of filled pauses in spontaneous speech. Dissertation, University of Birmingham. Available via \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.roselab.sci.waseda.ac.jp/resources/file/madissertation.pdf\u003c/span\u003e\u003cspan address=\"http://www.roselab.sci.waseda.ac.jp/resources/file/madissertation.pdf\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Accessed 05 Jan 2025\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSchwanenflugel PJ, Hamilton AM, Kuhn MR, Wisenbaker JM, Stahl SA (2004) Becoming a fluent reader: Reading skill and prosodic features in the oral reading of young readers. J Educational Psychol J 96(1):119\u0026ndash;129\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSelkirk EO (1978) On prosodic structure and its relation to syntactic structure. In: Fretheim T (ed) Nordic Prosody J II:111\u0026ndash;140\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVald\u0026eacute;s G (2022) Producci\u0026oacute;n de textos narrativos en el aula de historia: an\u0026aacute;lisis lexicom\u0026eacute;trico de una propuesta interdisciplinar. Onom\u0026aacute;zein J 55:32\u0026ndash;49\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Footnotes","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003e The text is provided by Badihardugu Euskara Elkartea on their website web \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://ahotsak.eus\u003c/span\u003e\u003cspan address=\"https://ahotsak.eus\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003e \u0026ldquo;It is necessary to pay attention to prosodic markers such as pauses, the presence of a complete melodic contour, or the use of marked final intonation in declarative statements (with an ascending or suspended tone), as these may be crucial in considering a structure as an act.\u0026rdquo; (Grupo Val.Es.Co, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2014\u003c/span\u003e: 47)\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Pauses, Pitch, Reading aloud, Didactics, Primary Education","lastPublishedDoi":"10.21203/rs.3.rs-5797609/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5797609/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe non-university academic regulations for Basic Education establish reading aloud within the realm of language and literature as one of several activities that serve to create texts with a playful, artistic, and creative goal, as reading aloud texts forms the foundation for comprehensible and meaningful learning. Therefore, it is of utmost importance to research the competence of primary education teachers.\u003c/p\u003e \u003cp\u003eThe main objective of this work is to describe pauses and pitch changes as mechanisms for turn-taking. For that purpose, 150 bilingual Basque university students have been recorded and analysed reading aloud a brief narrative text.\u003c/p\u003e \u003cp\u003eThe results of the study demonstrate that they indeed use pauses as a strategy for role or turn changes, and in the statistical analysis, significant differences are observed, both in terms of frequency and in terms of duration, between orthographically marked pauses (T-pauses) and those that allow a role shift (P-pauses).\u003c/p\u003e \u003cp\u003eComparing the results of the present study with those of Bosch et al. (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2005\u003c/span\u003e) the observations about reading aloud do not match, since this research shows that P-pauses are significantly longer than T-pauses. This elongation coincides with the role shift represented by the pauses. As a summary of what has been said, this study identifies the following sequences as the most common when reading aloud in Basque: HL[P]HL and H[T]H.\u003c/p\u003e","manuscriptTitle":"Pauses and pitch movement as strategies for reading aloud in higher education students","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-01-17 06:18:08","doi":"10.21203/rs.3.rs-5797609/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"15673841-61e9-449e-8fd1-af89b8fa8dc6","owner":[],"postedDate":"January 17th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":42898560,"name":"Social science/Education"},{"id":42898561,"name":"Social science/Language and linguistics"}],"tags":[],"updatedAt":"2025-07-14T10:09:10+00:00","versionOfRecord":[],"versionCreatedAt":"2025-01-17 06:18:08","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5797609","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5797609","identity":"rs-5797609","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
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