Predicting the Structure of a Lexical Environment from Properties of Verbal Working Memory. Issue 8 (20th August 2022)
- Record Type:
- Journal Article
- Title:
- Predicting the Structure of a Lexical Environment from Properties of Verbal Working Memory. Issue 8 (20th August 2022)
- Main Title:
- Predicting the Structure of a Lexical Environment from Properties of Verbal Working Memory
- Authors:
- Tanida, Yuki
Saito, Satoru - Abstract:
- Abstract: 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 ofAbstract: 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. … (more)
- Is Part Of:
- Cognitive science. Volume 46:Issue 8(2022)
- Journal:
- Cognitive science
- Issue:
- Volume 46:Issue 8(2022)
- Issue Display:
- Volume 46, Issue 8 (2022)
- Year:
- 2022
- Volume:
- 46
- Issue:
- 8
- Issue Sort Value:
- 2022-0046-0008-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-08-20
- Subjects:
- Corpus analysis -- Imageability -- Phonotactic frequency -- Accent regularity -- Working memory -- Long‐term memory -- Arbitrariness of the sign
Cognition -- Periodicals
Psycholinguistics -- Periodicals
Artificial intelligence -- Periodicals
153.05 - Journal URLs:
- http://firstsearch.oclc.org/journal=0364-0213;screen=info;ECOIP ↗
http://www3.interscience.wiley.com/journal/121670282/home ↗
http://onlinelibrary.wiley.com/ ↗
http://www.sciencedirect.com/science/journal/03640213 ↗ - DOI:
- 10.1111/cogs.13181 ↗
- Languages:
- English
- ISSNs:
- 0364-0213
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3292.885000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23428.xml