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  Sentential inference bridging between lexical/grammatical knowledge and text comprehension among native Chinese speakers learning Japanese

Tamaoka, K., Sakai, H., Miyaoka, Y., Ono, H., Fukuda, M., Wu, Y., et al. (2023). Sentential inference bridging between lexical/grammatical knowledge and text comprehension among native Chinese speakers learning Japanese. PLoS One, 18(4): e0284331. doi:10.1371/journal.pone.0284331.

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© 2023 Tamaoka et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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 Creators:
Tamaoka, Katsuo1, 2, Author
Sakai, Hiromu3, Author
Miyaoka, Yayoi4, Author
Ono, Hajime5, Author
Fukuda, Michiko6, Author
Wu, Yuxin7, Author
Verdonschot, Rinus G.8, Author           
Affiliations:
1Hunan University , Changsha, China, ou_persistent22              
2Nagoya University , Nagoya, Japan, ou_persistent22              
3Waseda University , Shinjuku City, Japan, ou_persistent22              
4Hiroshima University of Economics, Hiroshima, Japan, ou_persistent22              
5Tsuda University , Kodaira, Japan, ou_persistent22              
6Bunkyo University , Koshigaya, Japan, ou_persistent22              
7Xi’an International Studies University, Xi’an, China, ou_persistent22              
8Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society, ou_792551              

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 Abstract: The current study explored the role of sentential inference in connecting lexical/grammatical knowledge and overall text comprehension in foreign language learning. Using structural equation modeling (SEM), causal relationships were examined between four latent variables: lexical knowledge, grammatical knowledge, sentential inference, and text comprehension. The study analyzed 281 Chinese university students learning Japanese as a second language and compared two causal models: (1) the partially-mediated model, which suggests that lexical knowledge, grammatical knowledge, and sentential inference concurrently influence text comprehension, and (2) the wholly-mediated model, which posits that both lexical and grammatical knowledge impact sentential inference, which then further affects text comprehension. The SEM comparison analysis supported the wholly-mediated model, showing sequential causal relationships from lexical knowledge to sentential inference and then to text comprehension, without significant contribution from grammatical knowledge. The results indicate that sentential inference serves as a crucial bridge between lexical knowledge and text comprehension.

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Language(s): eng - English
 Dates: 2023-04-13
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1371/journal.pone.0284331
 Degree: -

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Title: PLoS One
  Abbreviation : PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 18 (4) Sequence Number: e0284331 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850