A linguistically-informed way of introducing Japanese verbs to second language learners

Bibliographic Data

ID21477213
AuthorsJ-R Hayashishita (University of Otago, corresponding author), Daiki Tanaka (0000-0003-1386-7677, Field of Japanese Language Education and Culture, Course of Global Education , Naruto University of Education , 748 Nakajima, Takashima, Naruto-cho, Naruto-shi , Tokushima 772-8502 , Japan), Ayumi Ueyama (0000-0003-0429-5654, Kyushu University)
Year2020
Volume36
Issue1
Pages29-72
Publication date2020-05-27
Open AccessNo
TypeARTICLE
VenueJournal of Japanese Linguistics (JOURNAL)
Journal identifiersISSN: 0197-3150 • E-ISSN: 2512-1413
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/jjl-2019-2017
OpenAlexW3016077831
LanguageEN
References cited18

This paper describes how the Japanese speakers’ knowledge is organized in regards to verbs, and proposes a linguistically-informed way of introducing it to second language learners. It is maintained by a number of researchers that each verb is stored with the information of its argument structure in the speaker’s mental lexicon. That is, a given verb is stored with the information of how many arguments it takes and what types of arguments they are. In this paper, capitalizing on this assumption, we will maintain that the knowledge of the native speakers of Japanese is organized in such a way that if a verb gives rise to n -number of different meanings, there are n -number of lexical entries, and each such entry is independently stored with the information concerning the meaning of the verb, the verb arguments and their accompanying particles. After the description of the organization of Japanese speakers’ knowledge in regards to verbs, as an effective way of introducing this to Japanese language learners, the paper proposes the format of an innovative approach to Japanese verbs reference book. This proposed format capitalizes on full sentence definitions in the sense of the Collins Cobuild Dictionary

Lexicon · Linguistics · Mental lexicon · Sentence · Verb · Computer Science · Natural Language Processing Techniques · Philosophy · Psychology · Speech and dialogue systems · Syntax, Semantics, Linguistic Variation · Artificial Intelligence

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