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On the characteristic of personal reference terms in Korean: A comparison with Japanese based on TV dramas
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In: Conference Proceedings for the 9th Korean Studies Association of Australia (KSAA) Biennial Conference 2015 (2022)
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Выражение эмоций грамматическими средствами японского языка: особенности изучения ... : Representation of emotions by grammar in Japanese language: features of its study ...
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Prediction of upcoming pitch accent using Sandhi rules in Kansai Japanese: A web-based visual world eye-tracking study ...
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杂糅中日双语的崭新文体 : 评横山悠太《我似猫》 ; On the New Literary Style of Yokoyama Yuta's 横山悠太 : I Am Becoming a Cat
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日本語教育実習における実習生の学びと変化 : 日本語教師養成講座の改善にむけて ; The Learning and Change of Teacher Trainees during Japanese Language Education Training : Toward Improving the Teacher Training Program
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Systematic Learning of Japanese Sign Language at Senior High Schools in Japan ; 高等学校における手話の体系的な学習に関する一考察
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Language learning through interaction: Online and in the classroom
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In: The Coastal Review: An Online Peer-reviewed Journal (2022)
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Translation and equivalences between languages and cultures: Portuguese and Japanese proverbs ; 言語と文化の中にある翻訳と互換性: ポルトガル語と日本語の格言から
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Teixeira, José. - : Aichi Prefectural University. Graduate School of International Cultural Studies, 2022
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Learning Argument Structures with Recurrent Neural Network Grammars
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Abstract:
In targeted syntactic evaluations, the syntactic competence of LMs has been investigated through various syntactic phenomena, among which one of the important domains has been argument structure. Argument structures in head-initial languages have been exclusively tested in the previous literature, but may be readily predicted from lexical information of verbs, potentially overestimating the syntactic competence of LMs. In this paper, we explore whether argument structures can be learned by LMs in head-final languages, which could be more challenging given that argument structures must be predicted before encountering verbs during incremental sentence processing, so that the relative weight of syntactic information should be heavier than lexical information. Specifically, we examined double accusative constraint and double dative constraint in Japanese with the sequential and hierarchical LMs: n-gram model, LSTM, GPT-2, and RNNG. Our results demonstrated that the double accusative constraint is captured by all LMs, whereas the double dative constraint is successfully explained only by the hierarchical model. In addition, we probed incremental sentence processing by LMs through the lens of surprisal, and suggested that the hierarchical model may capture deep semantic roles that verbs assign to arguments, while the sequential models seem to be influenced by surface case alignments.
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Keyword:
acceptability; argument structure; Computational Linguistics; grammaticality; Japanese; language model; probability; structure
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URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1258&context=scil https://scholarworks.umass.edu/scil/vol5/iss1/9
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Correlations Between Proposed Orthoepic Competence Descriptors and Japanese Language Ability
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In: Acta Linguistica Asiatica, Vol 12, Iss 1 (2022) (2022)
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Teaching Japanese as A Foreign Language with A Cultural Context
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In: All Graduate Plan B and other Reports (2022)
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Kanji learning by Japanese language learners from alphabetic backgrounds: an examination of how ‘component analysis’ impacts learners of differential proficiencies
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Hurley, Ian. - : Dublin City University. School of Applied Language and Intercultural Studies, 2021
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In: Hurley, Ian (2021) Kanji learning by Japanese language learners from alphabetic backgrounds: an examination of how ‘component analysis’ impacts learners of differential proficiencies. PhD thesis, Dublin City University. (2021)
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Kittajafr-v2baseline-2.0.1
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In: https://hal.archives-ouvertes.fr/hal-03503325 ; 2021 (2021)
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