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Yunjiu, Luo; Wei, Wei; Zheng, Ying – SAGE Open, 2022
Artificial intelligence (AI) technologies have the potential to reduce the workload for the second language (L2) teachers and test developers. We propose two AI distractor-generating methods for creating Chinese vocabulary items: semantic similarity and visual similarity. Semantic similarity refers to antonyms and synonyms, while visual similarity…
Descriptors: Chinese, Vocabulary Development, Artificial Intelligence, Undergraduate Students
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Tian, Shuang; Murao, Remi – Journal of Pan-Pacific Association of Applied Linguistics, 2016
The present study examined the use of prosody in semantic and syntactic disambiguation by means of comparison between Japanese and Chinese speakers' production of English sentences. In Chinese and Japanese, lexical prosody is more prominent than sentence prosody, and the sentential meaning contrast is usually realized through particles or a change…
Descriptors: Semantics, Suprasegmentals, Japanese, Chinese
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Kitajima, Ryu – Foreign Language Annals, 2016
Corpus linguistics identifies the qualitative difference in the characteristics of spoken discourse vs. written academic discourse. Whereas spoken discourse makes greater use of finite dependent clauses functioning as constituents in other clauses, written academic discourse incorporates noun phrase constituents and complex phrases. This claim can…
Descriptors: Computational Linguistics, Protocol Analysis, Statistical Analysis, Second Language Learning
Chatpunnarangsee, Kwanjira – ProQuest LLC, 2013
The purpose of this study is to explore ways of incorporating web-based concordancers for the purpose of teaching English collocations. A mixed-methods design utilizing a case study strategy was employed to uncover four specific dimensions of corpus use by twenty-four students in two classroom sections of a writing course at a university in…
Descriptors: Foreign Countries, Computational Linguistics, Phrase Structure, Worksheets