Predicting EFL Learners’ Susceptibility to Various Disfluency Types Based on Gender and Age

Keywords: disfluency types, speech disfluency, regression analysis, EFL learners, gender, age.

Abstract

The aim of the current study is to investigate the relationship of production of speech disfluencies in EFL learners based on gender and age through regression modeling. Gender and age have been examined to influence the production of disfluencies in both native and nonnative speakers so it’s an important issue since fluency and disfluency are crucial aspects of language learning, however, the influence of age and gender on disfluency remains a controversial issue with studies often producing conflicting results with one another.

Methods. This study took a new approach to this subject as we produced regression models which can predict the likelihood of production of each disfluency type based on speakers’ age and gender. In order to do this 40 Iranian advanced EFL learners (20 male, 20 female) in four age groups (youth 19–24, young adults 25–30, adults 31–44, and older adults 45+) took part in the study. Later semi-structured interviews with a variety of questions regarding different topics were conducted and participants’ responses were first recorded and then transcribed. The frequency of occurrence of each disfluency type in participants’ speech samples formed our data. This data was then used for our regression analysis.

Results. Our findings indicated that, while filled pauses are the most frequently produced disfluency in both genders and all age groups, female speakers are more likely to produce hesitations in their speech compared to male speakers. We also found out that, older adults are less likely to produce filled pauses in their speech compared to younger speakers. With Further analyses, we also investigated the likelihood of producing certain disfluency types over other ones based on age and gender and how this may help instructors.

Conclusions. Based on our findings, it can be concluded that all six types of disfluencies are produced by the Iranian EFL learners. Also, we found that, filled pauses, hesitations, and repetitions are by far the most frequently produced disfluency types by Iranian EFL learners, respectively.

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References

Acton, E.K. (2011). On gender differences in the distribution of um and uh. University of Pennsylvania Working Papers in Linguistics, 17(2). Article 2. Retrieved from https://repository.upenn.edu/cgi/viewcontent.cgi?article=1188&context=pwpl

Altıparmak, A., & Kuruoğlu, G. (2018). Gender and Speech Dısfluency Productıon: a Psycholınguıstıc Analysıs on Turkısh Speakers. Psycholinguistics, 24(2), 114–143. https://doi.org/10.31470/2309-1797-2018-24-1-114-143

Andrade, C.R.F., & Martins, V.O. (2011). Influence of gender and educational status on fluent adults’ speech fluency. Logopedia, Foniatría y Audiología, 31(2), 74–81. https://doi.org/10.1016/S0214-4603(11)70175-9

Blankenship, J., & Kay, C. (1964). Hesitation phenomena in English speech: A study in distribution. Word, 20, 360–372. https://doi.org/10.1080/00437956.1964.11659828

Bortfeld, H., Leon, S.D., Bloom, J.E., Schober, M.F., & Brennan, S.E. (2001). Disfluency Rates in Conversation: Effects of Age, Relationship, Topic, Role, and Gender. Language and Speech, 44(2), 123–147. https://doi.org/10.1177/00238309010440020101

Bulc, T., Hadzi, V. & Horga, D. (2010). Speech fluency: a result of oral language proficiency? Linguistica, 52(1), 87–100. https://doi.org/10.4312/linguistica.52.1.87-100

Butcher, A. (1981). Aspects of the speech pause: Phonetic correlates and communicative functions. (Unpublished doctoral dissertation). Christian Albrechts Universitat zu Kiel, Germany.

Christenfeld, N., & Creager, B. (1996). Anxiety, alcohol, aphasia, and ums. Journal of Personality and Social Psychology, 70(3), 451–460. https://doi.org/10.1037/0022-3514.70.3.451

Cooper, W.E., & Paccia-Cooper, J. (1980). Syntax and Speech. Cambridge, Massachusetts, US: Harvard University Press. https://doi.org/10.4159/harvard.9780674283947

Crystal, D. (1997). English as a global language. Cambridge, UK: Cambridge University Press.

Duez, D. (1993). Acoustic correlates of subjective pauses. Journal of Psycholinguistic Research, 22(1), 21–39. https://doi.org/10.1007/BF01068155

Eklund, R. (2001). Prolongations: A dark horse in the disfluency stable. In R. Lickley (Ed.), Proceedings of DiSS’01 Disfluency in Spontaneous Speech: ISCA Tutorial and Research Workshop (August 29–31, 2001) (pp. 5-8). University of Edinburgh.

Eklund, R. (2004). Disfluency in Swedish human‐human and human machine travel booking dialogues. (Unpublished doctoral dissertation). University of Linkoping, Sweden.

Ferreira, F. (1993). Creation of prosody during sentence production. Psychological Review, 100(2), 233–253. https://doi.org/10.1037/0033-295X.100.2.233

Fillmore, C.J, Kempler, D., & Wang, W.S.-Y. (1979). Individual differences in language ability and language behavior. New York, US: Academic Press. https://doi.org/10.1016/B978-0-12-255950-1.50017-2

Finlayson, I.R. (2014). Testing the roles of disfluency and rate of speech in the coordination of conversation. (Unpublished doctoral dissertation). Queen Margaret University.

Frost, J. (2019). Regression Analysis an Intuitive Guide. Retrieved from https://www.amazon.co.uk/Regression-Analysis-Intuitive-Interpreting-Linear/dp/1735431184

Ghonsooly, B., & Hoseinpour, A. (2009). The effect of concept mapping on EFL speaking fluency. IJAL, 12(1), 87–115.

Johnson, W. (1961). Measurements of oral reading and speaking rate and disfluency of adult male and female stutterers and nonstutterers. Journal of Speech & Hearing Disorders. Monograph Supplement, 7, 1–20.

Kormos, J., & Dénes, M. (2004). Exploring measures and perceptions of fluency in the speech of second language learners. System, 32(2), 145–164. https://doi.org/10.1016/j.system.2004.01.001

Leeper, L.H., & Culatta, R. (1995). Speech fluency: effect of age, gender and context. Folia Phoniatr Logop, 47(1), 1–14. https://doi.org/10.1159/000266337

Lennon, P. (1990). Investigating fluency in EFL: A quantitative approach. Language Learning, 40(3), 387-417. https://doi.org/10.1111/j.1467-1770.1990.tb00669.x

Lickley, R.J. (1994). Detecting disfluency in spontaneous speech. (Unpublished doctoral dissertation). University of Edinburg, UK.

Lickley, R.J. (2001). Dialogue moves and disfluency rates. In Proceedings of DiSS’01 Disfluency in Spontaneous Speech: ISCA Tutorial and Research Workshop (August 29–31, 2001) (pp. 93-96). University of Edinburgh.

Maclay, H., & Osgood, C.E. (1959). Hesitation Phenomena in Spontaneous English Speech, WORD, 15(1), 19-44. https://doi.org/10.1080/00437956.1959.11659682

Mahl, G.F. (1956). Disturbances and silences in the patient’s speech in psychotherapy. The Journal of Abnormal and Social Psychology, 53(1), 1–15. https://doi.org/10.1037/h0047552

Manning, W.H., & Monte, K.L. (1981). Fluency breaks in older speakers: Implications for a model of stuttering throughout the life cycle. Journal of Fluency Disorders, 6(1), 35–48. http://doi.org/10.1016/0094-730x(81)90029-2

Marshall, R.C., & Cullinan, W.L. (1971). Effects of reward schedule changes on children’s speech fluency. Language & Speech, 14(4), 341–351. https://doi.org/10.1177/002383097101400403

Martin, R.R., & Hasbrouck, J.M. (1977). The effects of punishment schedule on disfluency rate. Language and Speech, 20(2), 127–135. https://doi.org/10.1177/002383097702000204

Martin, R.R., & Rangaswamy, K. (1972). The effects of time-out from speaking on the disfluency rates of normal speakers. Language and Speech, 15(4), 358–366. https://doi.org/10.1177/002383097201500405

Meng, X., & Miller, P. (1995). Occupational segregation and its impact on gender wage discrimination in China’s rural industrial sector. Oxford Economic Papers, 47(1), 136–155. https://doi.org/10.1093/oxfordjournals.oep.a042157

Menyhárt, K. (2003). Age-dependent types and frequency of disfluencies. In R. Eklund (Ed.), Proceedings of DiSS’03 Disfluency in Spontaneous Speech (September 5–8, 2003) (pp. 45–48). Sweden: Gothenburg University.

Miller, T.A. (2010). Generative models of disfluency. (Unpublished doctoral dissertation). University of Minnesota, US.

Minavand, Amir Minavand. (2021). Speech dysfluency production rate (male/female) (age groups: 19–24, 25–30, 31–44, 45+). Mendeley Data, V1. https://doi.org/10.17632/hzjvrjsxyy.1

Nakatani, C.H., & Hirschberg, J. (1994). A corpus-based study of repair cues in spontaneous speech. Journal of the Acoustical Society of America, 95(3), 1603–1616. https://doi.org/10.1121/1.408547

Namaziandost, E., Saray, A., & Esfahani, F. (2018). The effect of writing practice on improving speaking skill among pre-intermediate EFL learners. Theory and Practice in Language Studies, 8(1), 1690–1697. https://doi.org/10.17507/tpls.0812.16

Namaziandost, E., & Ahmadi, S. (2019). The Assessment of Oral Proficiency through Holistic and Analytic Techniques of Scoring: A Comparative Study. Applied Linguistics Research Journal, 3(2), 70–82. https://doi.org/10.14744/alrj.2019.83792

Nasri, M., & Biria, R. (2017). Integrating multiple and focused strategies for improving reading comprehension and l2 lexical development of Iranian intermediate EFL learners. International Journal of Applied Linguistics & English Literature, 6(1), 311–321. https://doi.org/10.7575/aiac.ijalel.v.6n.1p.311

Oviatt, S. (1995). Predicting spoken disfluencies during human-computer interaction. Computer Speech & Language, 9(1), 19–35. https://doi.org/10.1006/csla.1995.0002

Palmer, P., & O’Connell, D. (2009). Research Corner: Regression Analysis for Prediction: Understanding the Process. Cardiopulmonary physical therapy journal, 20(3), 23–26. https://doi.org/10.1097/01823246-200920030-00004

Pedhazur, E.J. (1997). Multiple regression in behavioral research: Explanation and prediction (3rd ed.). New York, US: Harcourt Brace.

Redford, M.A. (2015). The handbook of speech production. John Wiley & Sons. https://doi.org/10.1002/9781118584156

Schnadt, M. (2009). Lexical influences on disfluency production. (Unpublished doctoral dissertation). University of Edinburgh, Edinburgh.

Shin, M., & Lee, K. (2017). Disfluency, speech rate, and communication attitude differences according to gender and age in adults who do not stutter. Communication Sciences & Disorders, 22(4), 794–805. https://doi.org/10.12963/csd.17431

Shriberg, E. (1994). Preliminaries to a theory of speech disfluencies. (Unpublished doctoral dissertation). University of California, Berkeley.

Siegel, G.M., Lenske, J., & Broen, P. (1969). Suppression of normal speech disfluencies through response cost. Journal of Applied Behavior Analysis, 2(4), 265–276. https://doi.org/10.1044/jshr.0803.245

Spector, L.C., & Mazzeo, M. (1980). Probit analysis and economic education. Journal of Economic Education, 11(2), 37–44. https://doi.org/10.2307/1182446

Stevens, G. (1992). The Social and Demographic Context of Language Use in the United States. American Sociological Review, 57(2), 171–185. https://doi.org/10.2307/2096203

Tabasi, S., Aslani, A., & Forotan, H., (2016). Prediction of energy consumption by using regression model. Computational Research Progress in Applied Science & Engineering, 2(3), 110–115. Retrieved from http://www.crpase.com/archive/CRPASE-2016-VOL%2002-ISSUE%2003-04.pdf

Tavakoli, P., & Skehan, P. (2005). Strategic planning, task structure, and performance testing. In R. Ellis (Ed.), Planning and Task Performance in a Second Language (pp. 239–277). Amsterdam, Netherlands: John Benjamins. https://doi.org/10.1075/lllt.11.15tav

Yairi, E., & Clifton, N.F., Jr. (1972). Disfluent speech behavior of preschool children, high school seniors, and geriatric persons. Journal of Speech and Hearing Research, 15(4), 714–719. https://doi.org/10.1044/jshr.1504.714


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Published
2021-11-09
How to Cite
Minavandchal , A., & Salimi, M. (2021). Predicting EFL Learners’ Susceptibility to Various Disfluency Types Based on Gender and Age . PSYCHOLINGUISTICS, 30(2), 174-198. https://doi.org/10.31470/2309-1797-2021-30-2-174-198