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Age, Task Characteristics, and Acoustic Indicators of Engagement: Investigations into the Validity of a Technology-Enhanced Speaking Test for Young Language Learners ...
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Assessment of Word-Level Neural Language Models for Sentence Completion
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In: Applied Sciences ; Volume 10 ; Issue 4 (2020)
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Abstract:
The task of sentence completion, which aims to infer the missing text of a given sentence, was carried out to assess the reading comprehension level of machines as well as humans. In this work, we conducted a comprehensive study of various approaches for the sentence completion based on neural language models, which have been advanced in recent years. First, we revisited the recurrent neural network language model (RNN LM), achieving highly competitive results with an appropriate network structure and hyper-parameters. This paper presents a bidirectional version of RNN LM, which surpassed the previous best results on Microsoft Research (MSR) Sentence Completion Challenge and the Scholastic Aptitude Test (SAT) sentence completion questions. In parallel with directly applying RNN LM to sentence completion, we also employed a supervised learning framework that fine-tunes a large pre-trained transformer-based LM with a few sentence-completion examples. By fine-tuning a pre-trained BERT model, this work established state-of-the-art results on the MSR and SAT sets. Furthermore, we performed similar experimentation on newly collected cloze-style questions in the Korean language. The experimental results reveal that simply applying the multilingual BERT models for the Korean dataset was not satisfactory, which leaves room for further research.
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Keyword:
BERT; bidirectional RNN; cloze test; Korean dataset; machine comprehension; neural language model; sentence completion
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URL: https://doi.org/10.3390/app10041340
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Shared Storybook Reading and the Development of Oral Language Skills ... : Das gemeinsame Lesen von Kinderbüchern und die Entwicklung frühkindlicher Sprachfähigkeiten ...
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How much does test-takers’ listening proficiency matter in oral interview tests?
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The impact on candidates of examiner interventions in oral interview tests
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Comparing rating modes: analysing live, audio, and video ratings of IELTS Speaking Test performances
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Assessment of candidates' interactional competence using group oral tests
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Comparing writing proficiency assessments used in professional medical registration: a methodology to inform policy and practice
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Effects of pre-task planning on paired oral test performance: a case of beginning EFL learners
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Effects of the number of participants on group oral test performance
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Interactional Competence measured in group oral tests: how do test-taker characteristics, task types and group sizes affect co-constructed discourse in groups?
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Language aptitude influence on foreign language acquisition
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ЛІНГВОДИДАКТИЧНА КОНТРОЛЬНО-ОЦІНЮВАЛЬНА CТРАТЕГІЯ У ПРОЦЕСІ НАВЧАННЯ ЯК СПІЛКУВАННЯ ; LINGUODIDACTIC ASSESSMENT AND EVALUATION IN COMMUNICATIVE EDUCATION
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In: Ars linguodidacticae; № 1 (2017); 4-10 ; ARS LINGUODIDACTICAE; № 1 (2017): Ars linguodidacticae; 4-10 ; 2663-0303 (2020)
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Living with IELTS: the stories of IELTS test candidates
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Yucel, Megan. - : The University of Queensland, School of Languages and Cultures, 2020
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The Impact of Literature Teaching Techniques on the Learners' Performance on Academic Reading Course Tests
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In: Applied Linguistics Research Journal, Vol 4, Iss 1, Pp 53-62 (2020) (2020)
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Evaluating Test Consequences Based on ESL Students’ Perceptions: An Appraisal Analysis
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In: Studies in Applied Linguistics & TESOL, Vol 20, Iss 1 (2020) (2020)
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FEASIBILITY TEST OF ENGLISH INSTRUCTIONAL MATERIALS FOR SECRETARIES THROUGH MOODLE
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In: Journal of Applied Linguistics and Literature, Vol 5, Iss 2, Pp 109-122 (2020) (2020)
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The quality of an English summative test of a public junior high school, Kupang-NTT
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In: English Language Teaching Educational Journal, Vol 3, Iss 2, Pp 133-141 (2020) (2020)
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