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Chia-Ju Lin; Wei-Sheng Wang; Hsin-Yu Lee; Yueh-Min Huang; Ting-Ting Wu – Journal of Educational Computing Research, 2025
This study uses a quasi-experimental design to explore the role of natural language processing (NLP) and speech recognition technologies in supporting teacher interventions during collaborative STEM activities. The Speech Recognition Keywords Analysis System (SRKAS) was developed to extract keywords from student discussions, enabling real-time…
Descriptors: Natural Language Processing, Computational Linguistics, Technology Uses in Education, STEM Education
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Ya-Mei Chen – Interpreter and Translator Trainer, 2024
This study explores the way translation crowdsourcing may contribute to metacognitive translator training through a teaching experiment where Global Voices Lingua was integrated into an undergraduate English-Chinese translation course. In doing so, the study investigates how translation students' awareness of conditional knowledge and its…
Descriptors: Translation, Metacognition, Second Languages, Language Processing
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Yeldham, Michael – Language Teaching Research, 2020
This study examined the influence of formulaic language on second language (L2) listeners' lower-level processing, in terms of their ability to accurately identify the words in texts. On the one hand, there were reasons for expecting the presence of the formulas to advantage the learners, because the learners would process these formulaic words…
Descriptors: Phrase Structure, Language Processing, Second Language Learning, Second Language Instruction
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Chen, Mei-Hua; Huang, Chung-Chi; Huang, Shih-Ting; Chang, Jason S.; Liou, Hsien-Chin – IEEE Transactions on Learning Technologies, 2014
Formulaic language is important to language acquisition; however, English language learners are often reported to have problems with formulaic expressions. Several lists of formulaic sequences have been proposed, mainly for developing teaching and testing materials. However, their limited numbers and insufficient usage information seem unable to…
Descriptors: Brain Hemisphere Functions, Chinese, College Freshmen, Language Usage
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Liao, Chen-Huei; Kuo, Bor-Chen; Pai, Kai-Chih – Turkish Online Journal of Educational Technology - TOJET, 2012
Automated scoring by means of Latent Semantic Analysis (LSA) has been introduced lately to improve the traditional human scoring system. The purposes of the present study were to develop a LSA-based assessment system to evaluate children's Chinese sentence construction skills and to examine the effectiveness of LSA-based automated scoring function…
Descriptors: Foreign Countries, Program Effectiveness, Scoring, Personality
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Liou, Hsien-Chin; Chang, Jason S; Chen, Hao-Jan; Lin, Chih-Cheng; Liaw, Meei-Ling; Gao, Zhao-Ming; Jang, Jyh-Shing Roger; Yeh, Yuli; Chuang, Thomas C.; You, Geeng-Neng – CALICO Journal, 2006
This paper describes the development of an innovative web-based environment for English language learning with advanced data-driven and statistical approaches. The project uses various corpora, including a Chinese-English parallel corpus ("Sinorama") and various natural language processing (NLP) tools to construct effective English…
Descriptors: Natural Language Processing, English (Second Language), Bilingualism, Web Based Instruction
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Chang, Yu-Chia; Chang, Jason S.; Chen, Hao-Jan; Liou, Hsien-Chin – Computer Assisted Language Learning, 2008
Previous work in the literature reveals that EFL learners were deficient in collocations that are a hallmark of near native fluency in learner's writing. Among different types of collocations, the verb-noun (V-N) one was found to be particularly difficult to master, and learners' first language was also found to heavily influence their collocation…
Descriptors: Sentence Structure, Verbs, Nouns, Foreign Countries