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Exploiting Structured Error to Improve Automated Scoring of Oral Reading Fluency., и . AIED (2), том 12749 из Lecture Notes in Computer Science, стр. 76-81. Springer, (2021)Expert and crowdsourced annotation of pronunciation errors for automatic scoring systems., , , , и . INTERSPEECH, стр. 2809-2813. ISCA, (2015)Automated scoring across different modalities., и . BEA@NAACL-HLT, стр. 130-135. The Association for Computer Linguistics, (2016)A Large Scale Quantitative Exploration of Modeling Strategies for Content Scoring., , и . BEA@EMNLP, стр. 457-467. Association for Computational Linguistics, (2017)Building Better Open-Source Tools to Support Fairness in Automated Scoring., , , , и . EthNLP@EACL, стр. 41-52. Association for Computational Linguistics, (2017)Automatic Detection of Word-Level Reading Errors in Non-native English Speech Based on ASR Output., , , , , , и . ISCSLP, стр. 1-5. IEEE, (2021)A Good Start is Half the Battle Won: Unsupervised Pre-training for Low Resource Children's Speech Recognition for an Interactive Reading Companion., , , , и . AIED (1), том 12748 из Lecture Notes in Computer Science, стр. 306-317. Springer, (2021)Atypical Inputs in Educational Applications., , , , , и . NAACL-HLT (3), стр. 60-67. Association for Computational Linguistics, (2018)Speech- and Text-driven Features for Automated Scoring of English Speaking Tasks., , и . SCNLP@EMNLP 2017, стр. 67-77. Association for Computational Linguistics, (2017)Acoustic model of stress in standard Greek and Greek dialects.. ExLing, стр. 149-152. ISCA, (2008)