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Development of Robust Automated Scoring Models Using Adversarial Input for Oral Proficiency Assessment.

, , , and . INTERSPEECH, page 1871-1875. ISCA, (2019)

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A Python Toolkit for Universal Transliteration., , , , and . LREC, European Language Resources Association, (2010)A comparison of grammatical proficiency measures in the automated assessment of spontaneous speech., and . Speech Commun., (2018)Evaluation of ChatGPT Feedback on ELL Writers' Coherence and Cohesion., , and . CoRR, (2023)Comparative evaluation of automated scoring of syntactic competence of non-native speakers., , , and . Comput. Hum. Behav., (2017)Accent detection and speech recognition for Shanghai-accented Mandarin., , , , , , , , and . INTERSPEECH, page 217-220. ISCA, (2005)Automated pronunciation scoring using confidence scoring and landmark-based SVM., , and . INTERSPEECH, page 1903-1906. ISCA, (2009)Landmark-based automated pronunciation error detection., , and . INTERSPEECH, page 614-617. ISCA, (2010)Textual complexity as a predictor of difficulty of listening items in language proficiency tests., , , , and . COLING, page 3245-3253. ACL, (2016)Automated classification of collaborative problem solving interactions in simulated science tasks., , , , and . BEA@NAACL-HLT, page 31-41. The Association for Computer Linguistics, (2016)Spoken Text Difficulty Estimation Using Linguistic Features., , and . BEA@NAACL-HLT, page 267-276. The Association for Computer Linguistics, (2016)