1887
image of Fluency assessment
USD
Buy:$35.00 + Taxes

Abstract

Speech fluency is often assessed using articulation rate and pause frequency. However, not all pauses hinder fluency: when placed strategically, they structure discourse and enhance comprehensibility. To better characterize speaker fluency, it is crucial to consider pauses occur. Traditional approaches rely on categorical syntactic boundaries (e.g., clauses or phrases), but inadequately capture syntactic complexity. We propose a continuous measure of pause placement based on syntactic distance between adjacent words. Using spontaneous English speech from Japanese learners and native speakers, we show that syntactic distance robustly predicts both pause location and duration across proficiency levels. We compare its contribution to proficiency classification against baseline and categorical models. The syntactic distance model outperforms all others, explaining 87% of variance (versus 65% for baseline and 76% for clause/phrase models), with strongest model fit and lowest prediction error. This measure provides a robust and meaningful predictor of L2 speech fluency.

Loading

Article metrics loading...

/content/journals/10.1075/jslp.25042.cou
2026-03-13
2026-04-21
Loading full text...

Full text loading...

References

  1. Baevski, A., Zhou, Y., Mohamed, A., & Auli, M.
    (2020) Wav2Vec 2.0: A framework for self-supervised learning of speech representations. Advances in Neural Information Processing Systems, , –.
    [Google Scholar]
  2. Bain, M., Huh, J., Han, T., Zisserman, A.
    (2023) WhisperX: Time-Accurate Speech Transcription of Long-Form Audio. Proc. Interspeech, –. 10.21437/Interspeech.2023‑78
    https://doi.org/10.21437/Interspeech.2023-78 [Google Scholar]
  3. Bies, A., Ferguson, M., Katz, K., & MacIntyre, R.
    (1995) Bracketing Guidelines For Treebank II Style Penn Treebank Project. University of Pennsylvania Department of Computer and Information Science Technical Report No. MS-CIS-95-06-07. LINC LAB 281https://repository.upenn.edu/handle/20.500.14332/6998
  4. Bhatt, R.
    (2008) Pharse Structure rules, Tree rewriting and recursion. Amherst: UMASS. Carnie, A. (2002). Syntax: A Generative Introduction. Wiley-Blackwell.
    [Google Scholar]
  5. Boomer, D. S.
    (1965) Hesitation and grammatical encoding. Language and Speech, (), –. 10.1177/002383096500800302
    https://doi.org/10.1177/002383096500800302 [Google Scholar]
  6. Boomer, D. S., & Dittmann, A. T.
    (1962) Hesitation pauses and juncture pauses in speech. Language and Speech, (), –. 10.1177/002383096200500404
    https://doi.org/10.1177/002383096200500404 [Google Scholar]
  7. Bredin, H.
    (2023) pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe. Interspeech, –. 10.21437/Interspeech.2023‑105
    https://doi.org/10.21437/Interspeech.2023-105 [Google Scholar]
  8. Burnham, K. P., & Anderson, D. R.
    (2002) Model selection and multimodel inference (2nd ed.; K. P. Burnham & D. R. Anderson, Eds.). 10.1007/b97636
    https://doi.org/10.1007/b97636 [Google Scholar]
  9. Candea, M.
    (2000) Contribution à l’étude des pauses silencieuses et des phénomènes dits ‘“d’hésitation”’ en français oral spontané. Etude sur un corpus de récits en classe de français (Université de la Sorbonne nouvelle — Paris III). https://theses.hal.science/tel-00290143
    [Google Scholar]
  10. Cao, Y., & Chen, H.
    (2019) World Englishes and Prosody: Evidence from the Successful Public Speakers. 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), –. 10.1109/APSIPAASC47483.2019.9023164
    https://doi.org/10.1109/APSIPAASC47483.2019.9023164 [Google Scholar]
  11. Coulange, S.
    (2025) Évaluation automatique de la parole spontanée en anglais langue étrangère : le rôle des pauses et de l’accent lexical dans la compréhensibilité du locuteur. Thèse de doctorat en Sciences du langage Spécialité Informatique, dirigée parMonica Masperi, Solange Rossato, et Tsuneo Kato, Université Grenoble Alpes.
    [Google Scholar]
  12. Coulange, S., de Jong, N. H.
    (2025) Measuring L2 Speech Fluency Based on Syntactic Distribution of Pauses. Proc. 12th edition of the Disfluency in Spontaneous Speech Workshop (DiSS 2025), –. 10.21437/DiSS.2025‑8
    https://doi.org/10.21437/DiSS.2025-8 [Google Scholar]
  13. Coulange, S., Konishi, T., Sugahara, M., & Kato, T.
    (2024a) A corpus of spontaneous dialogues in L2 English by French and Japanese L1 speakers for automated assessment of fluency. 6th International Symposium on Learner Corpus Studies in Asia and the World (LCSAW6). https://hal.science/hal-04666131
    [Google Scholar]
  14. Coulange, S., Kato, T., Rossato, S., & Masperi, M.
    (2024b) Enhancing language learners’ comprehensibility through automated analysis of pause positions and syllable prominence. Languages, (), . 10.3390/languages9030078
    https://doi.org/10.3390/languages9030078 [Google Scholar]
  15. (2024c) Exploring impact of pausing and lexical stress patterns on L2 English comprehensibility in real time. Interspeech, –. Presented at theInterspeech2024. 10.21437/interspeech.2024‑1627
    https://doi.org/10.21437/interspeech.2024-1627 [Google Scholar]
  16. de Jong, N. H.
    (2016) Predicting pauses in L1 and L2 speech: the effects of utterance boundaries and word frequency. International Review of Applied Linguistics in Language Teaching, (), –. 10.1515/iral‑2016‑9993
    https://doi.org/10.1515/iral-2016-9993 [Google Scholar]
  17. Fauth, C., & Trouvain, J.
    (2018) Détails phonétiques dans la réalisation des pauses en Français : étude de parole lue en langue maternelle vs en langue étrangère. Langages, (), –. 10.3917/lang.211.0081
    https://doi.org/10.3917/lang.211.0081 [Google Scholar]
  18. Fox, B. A., Hayashi, M., & Jasperson, R.
    (1996) Resources and repair : a cross-linguistic study of syntax and repair. InE. Ochs, E. A. Schegloff & S. A. Thompson (Éd.), Interaction and Grammar (p. 185–237). Cambridge Univ. Press. 10.1017/CBO9780511620874.004
    https://doi.org/10.1017/CBO9780511620874.004 [Google Scholar]
  19. Goldman-Eisler, F.
    (1968) Psycholinguistics: Experiments in Spontaneous Speech. Academic Press Inc.
    [Google Scholar]
  20. Götz, S.
    (2013) Fluency in Native and Nonnative English Speech (Vol.). John Benjamins Publishing Company. 10.1075/scl.53
    https://doi.org/10.1075/scl.53 [Google Scholar]
  21. Grosjean, F., & Deschamps, A.
    (1975) Analyse contrastive des variables temporelles de l’anglais et du français: vitesse de parole et variables composantes, phénomènes d’hésitation. Phonetica, (), –. 10.1159/000259667
    https://doi.org/10.1159/000259667 [Google Scholar]
  22. (2009) Analyse contrastive des variables temporelles de l’anglais et du français: vitesse de parole et variables composantes, phénomènes d’hésitation. Phonetica, (), –. 10.1159/000259667
    https://doi.org/10.1159/000259667 [Google Scholar]
  23. Grosman, I., Simon, A. C., & Degand, L.
    (2018) Variation de la durée des pauses silencieuses : impact de la syntaxe, du style de parole et des disfluences. Langages, (), –. 10.3917/lang.211.0013
    https://doi.org/10.3917/lang.211.0013 [Google Scholar]
  24. Heldner, M., & Edlund, J.
    (2010) Pauses, gaps and overlaps in conversations. Journal of Phonetics, (), –. 10.1016/j.wocn.2010.08.002
    https://doi.org/10.1016/j.wocn.2010.08.002 [Google Scholar]
  25. Hsieh, C.-N., Zechner, K., & Xi, X.
    (2019) Features measuring fluency and pronunciation. InAutomated Speaking Assessment (pp.–). 10.4324/9781315165103‑7
    https://doi.org/10.4324/9781315165103-7 [Google Scholar]
  26. Isaacs, T., Trofimovich, P., & Foote, J. A.
    (2018) Developing a user-oriented second language comprehensibility scale for English-medium universities. Language Testing, (), –. 10.1177/0265532217703433
    https://doi.org/10.1177/0265532217703433 [Google Scholar]
  27. Kahng, J.
    (2018) The effect of pause location on perceived fluency. Applied Psycholinguistics, (), –. 10.1017/S0142716417000534
    https://doi.org/10.1017/S0142716417000534 [Google Scholar]
  28. (2014) Exploring Utterance and Cognitive Fluency of L1 and L2 English Speakers: Temporal Measures and Stimulated Recall: Utterance and Cognitive Fluency in L2. Language Learning, (), –. 10.1111/lang.12084
    https://doi.org/10.1111/lang.12084 [Google Scholar]
  29. Kallio, H., Kuronen, M., & Koivusalo, L.
    (2022) The role of pause location in perceived fluency and proficiency in L2 Finnish. Proc. ISAPh 2022, 4th International Symposium on Applied Phonetics, –. 10.21437/ISAPh.2022‑5
    https://doi.org/10.21437/ISAPh.2022-5 [Google Scholar]
  30. Kitaev, N., Cao, S., & Klein, D.
    (2019) Multilingual Constituency Parsing with Self-Attention and Pre-Training. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, –. 10.18653/v1/P19‑1340
    https://doi.org/10.18653/v1/P19-1340 [Google Scholar]
  31. Kormos, J.
    (2006) Speech Production and Second Language Acquisition. Routledge. 10.4324/9780203763964
    https://doi.org/10.4324/9780203763964 [Google Scholar]
  32. Kuang, J., Chan, M. P. Y., Rhee, N., Liberman, M., Ding, H.
    (2022) The mapping between syntactic and prosodic phrasing in English and Mandarin. Proc. Interspeech, –. 10.21437/Interspeech.2022‑10726
    https://doi.org/10.21437/Interspeech.2022-10726 [Google Scholar]
  33. Maynard, S. K.
    (1989) Japanese conversation: Self-contextualization through structure and interactional management. Praeger.
    [Google Scholar]
  34. Montani, I., Honnibal, M., Honnibal, M., Boyd, A., Van Landeghem, S., & Peters, H.
    (2023) spaCy: Industrial-strength Natural Language Processing in Python. 10.5281/zenodo.10009823
    https://doi.org/10.5281/zenodo.10009823 [Google Scholar]
  35. Nagle, C., Trofimovich, P., & Bergeron, A.
    (2019) Toward a dynamic view of second language comprehensibility. Studies in Second Language Acquisition, (), –. 10.1017/s0272263119000044
    https://doi.org/10.1017/s0272263119000044 [Google Scholar]
  36. Révész, A., Jeong, H., Suzuki, S., Cui, H., Matsuura, S., Saito, K., & Sugiura, M.
    (2024) Task-generated processes in second language speech production: Exploring the neural correlates of task complexity during silent pauses. Studies in Second Language Acquisition, (), –. 10.1017/S0272263124000421
    https://doi.org/10.1017/S0272263124000421 [Google Scholar]
  37. Riazantseva, A.
    (2001) Second Language Proficiency and Pausing: A Study of Russian Speakers of English. Studies in Second Language Acquisition, (), –. 10.1017/S027226310100403X
    https://doi.org/10.1017/S027226310100403X [Google Scholar]
  38. Riggenbach, H.
    (1991) Toward an understanding of fluency: A microanalysis of nonnative speaker conversations. Discourse Processes, (), –. 10.1080/01638539109544795
    https://doi.org/10.1080/01638539109544795 [Google Scholar]
  39. Ruder, K. F., & Jensen, P. J.
    (1972) Fluent and hesitation pauses as a function of syntactic complexity. Journal of speech and hearing research, (), –. 10.1044/jshr.1501.49
    https://doi.org/10.1044/jshr.1501.49 [Google Scholar]
  40. Sacks, H.
    (1992) Lectures on Conversation (G. Jefferson, Ed.). Blackwell.
    [Google Scholar]
  41. Segalowitz, N.
    (01 2010) Cognitive bases of second language fluency. New York and London: Routledge. 10.4324/9780203851357
    https://doi.org/10.4324/9780203851357 [Google Scholar]
  42. Schweitzer, A., & Haase, M.
    (2000) Zwei Ansätze zur syntaxgesteuerten Prosodiegenerierung. KONVENS 2000 / Sprachkommunikation, Vorträge Der Gemeinsamen Veranstaltung 5. Konferenz Zur Verarbeitung Natürlicher Sprache (KONVENS), 6. ITG-Fachtagung “Sprachkommunikation,”–.
    [Google Scholar]
  43. Shigemitsu, Y.
    (2007) A pause in conversation for Japanese native speakers : a case study of successful and unsuccessful conversation in terms of pause though intercultural communication. Academic Report, Tokyo Polytechnic University, (), –. https://cir.nii.ac.jp/crid/1520290882531293440
    [Google Scholar]
  44. Shea, C., & Leonard, K.
    (2019) Evaluating measures of pausing for second language fluency research. Canadian Modern Language Review, (), –. 10.3138/cmlr.2018‑0258
    https://doi.org/10.3138/cmlr.2018-0258 [Google Scholar]
  45. Skehan, P., Foster, P., & Shum, S.
    (2016) Ladders and Snakes in Second Language Fluency. International Review of Applied Linguistics in Language Teaching, (). 10.1515/iral‑2016‑9992
    https://doi.org/10.1515/iral-2016-9992 [Google Scholar]
  46. Suzuki, S., & Kormos, J.
    (2020) linguistic dimensions of comprehensibility and perceived fluency: an investigation of complexity, accuracy, and fluency in second language argumentative speech. Studies in Second Language Acquisition, (), –. 10.1017/S0272263119000421
    https://doi.org/10.1017/S0272263119000421 [Google Scholar]
  47. Tauberer, J.
    (2008) Predicting intrasentential pauses: is syntactic structure useful?Proc. Speech Prosody, –. 10.21437/SpeechProsody.2008‑89
    https://doi.org/10.21437/SpeechProsody.2008-89 [Google Scholar]
  48. Tavakoli, P., Nakatsuhara, F., & Hunter, A.
    (2020) Aspects of Fluency Across Assessed Levels of Speaking Proficiency. The Modern Language Journal, (), –. 10.1111/modl.12620
    https://doi.org/10.1111/modl.12620 [Google Scholar]
  49. Tavakoli, P., & Skehan, P.
    (2005) Strategic planning, task structure and performance testing. InPlanning and Task Performance in a Second Language (pp.–). 10.1075/lllt.11.15tav
    https://doi.org/10.1075/lllt.11.15tav [Google Scholar]
  50. Yan, X., Lei, Y., & Pan, Y.
    (2025) Diving Deep Into the Relationship Between Speech Fluency and Second Language Proficiency: A Meta-Analysis. Language Learning, (), –. 10.1111/lang.12701
    https://doi.org/10.1111/lang.12701 [Google Scholar]
/content/journals/10.1075/jslp.25042.cou
Loading
/content/journals/10.1075/jslp.25042.cou
Loading

Data & Media loading...

  • Article Type: Research Article
Keywords: assessment ; syntax ; L2 speech ; syntactic complexity ; pauses ; fluency
This is a required field
Please enter a valid email address
Approval was successful
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error