Developing a Scoring Algorithm for Automatic Pronunciation Assessment of Modern Greek

Charalabopoulou, Frieda; Stafylakis, Themos; Mikros, George K.

doi:10.1080/09296174.2011.533586

Journal of Quantitative Linguistics

2011

DOI: 10.1080/09296174.2011.533586

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Developing a Scoring Algorithm for Automatic Pronunciation Assessment of Modern Greek

Frieda Charalabopoulou

Themos Stafylakis

George K. Mikros

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2020

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“…(Fromont et al, 2020;Heikel et al, 2018;Monner et al, 2013;Munsell et al, 2019;Pearl & Enverga, 2014) Phonetics(Al-Tamimi & Khattab, 2018;Arnhold & Kyrolainen, 2017;Bybee & De Souza, 2019;Charalabopoulou et al, 2011;Howell et al, 2017;Litman et al, 2018;Przybyla & Teisseyre, 2014;Xie et al, 2019) 4.1.1 Language Teaching and Language Learning…”

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A Methodological Review of Machine Learning in Applied Linguistics

Liu¹

2020

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The traditional linear regression in applied linguistics (AL) suffers from the drawbacks arising from the strict assumptions namely: linearity, and normality, etc. More advanced methods are needed to overcome the shortcomings of the traditional method and grapple with intricate linguistic problems. However, there is no previous review on the applications of machine learning (ML) in AL, the introduction of interpretable ML, and related practical software. This paper addresses these gaps by reviewing the representative algorithms of ML in AL. The result shows that ML is applicable in AL and enjoys a promising future. It goes further to discuss the applications of interpretable ML for reporting the results in AL. Finally, it ends with the recommendations of the practical programming languages, software, and platforms to implement ML for researchers in AL to foster the interdisciplinary studies between AL and ML.

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confidence: 99%

A Methodological Review of Machine Learning in Applied Linguistics

Liu¹

2020

ELT

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Developing a Scoring Algorithm for Automatic Pronunciation Assessment of Modern Greek

Cited by 1 publication

References 11 publications

A Methodological Review of Machine Learning in Applied Linguistics

A Methodological Review of Machine Learning in Applied Linguistics

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