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タイトル: Predicting the structure of a lexical environment from properties of verbal working memory
著者: Tanida, Yuki
Saito, Satoru  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-0403-3606 (unconfirmed)
著者名の別形: 谷田, 勇樹
齊藤, 智
キーワード: Corpus analysis
Imageability
Phonotactic frequency
Accent regularity
Working memory
Long-term memory
Arbitrariness of the sign
発行日: Aug-2022
出版者: Wiley
Cognitive Science Society
誌名: Cognitive Science
巻: 46
号: 8
論文番号: e13181
抄録: We analyzed a Japanese lexical database to investigate the structure of the lexical environment based on the hypothesis that the lexical environment is optimized for the functioning of verbal working memory. Our prediction was that, as a consequence of the cultural transmission of language, low-imageable meanings tend to be represented by frequent phonological patterns in the current vocabulary rather than infrequent phonological patterns. This prediction was based on two findings of previous laboratory studies on verbal working memory. (1) The quality of phonological (phonemic and accent) representations in verbal working memory depends on phonological regularity knowledge; therefore, short-term phonological representations are less robust for words with infrequent phonological patterns. (2) Phonological representations are underpinned by contributions from semantic knowledge; therefore, phonological representations of highly imageable words are more robust than those for low-imageable words. Our database analyses show that nouns with less imageable meanings tend to be associated with more frequent phonological patterns in Japanese vocabulary. This lexical structure can maintain the quality of phonological representations in verbal working memory through contributions of semantic and phonological regularity knowledge. Larger semantic contributions compensate for the less robust phonological representations of infrequent phonological forms. The quality of phonological representations is preserved by phonological regularity knowledge when larger semantic contributions are not expected.
著作権等: This is the peer reviewed version of the following article: [Tanida, Y. and Saito, S. (2022), Predicting the Structure of a Lexical Environment from Properties of Verbal Working Memory. Cognitive Science, 46: e13181.] which has been published in final form at https://doi.org/10.1111/cogs.13181. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.This is not the published version.
Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/275990
DOI(出版社版): 10.1111/cogs.13181
PubMed ID: 35986665
出現コレクション:学術雑誌掲載論文等

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