外国人日本語学習者850名の日本語能力から説明文の品詞別産出頻度への因果関係

玉岡, 賀津雄; TAMAOKA, Katsuo

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外国人日本語学習者850名の日本語能力から説明文の品詞別産出頻度への因果関係

https://doi.org/10.18999/stul.34.45

	名前 / ファイル	ライセンス	アクション
	2003.pdf (846.3 kB)

Item type

紀要論文 / Departmental Bulletin Paper(1)

公開日

2021-01-12

タイトル

外国人日本語学習者850名の日本語能力から説明文の品詞別産出頻度への因果関係

その他のタイトル

The causal relation between the Japanese language proficiency of 850 foreign learners and productive frequencies of lexical categories in expository text

著者

玉岡, 賀津雄

TAMAOKA, Katsuo

キーワード

主題Scheme

Other

主題

I-JAS

キーワード

主題Scheme

Other

主題

J-CAT

キーワード

主題Scheme

Other

主題

説明力

キーワード

主題Scheme

Other

主題

日本語能力

キーワード

主題Scheme

Other

主題

産出頻度

キーワード

主題Scheme

Other

主題

構造方程式モデリング

キーワード

主題Scheme

Other

主題

I-JAS (International Corpus of Japanese as a Second Language)

キーワード

主題Scheme

Other

主題

J-CAT (Japanese Computerized Adaptive Test)

キーワード

主題Scheme

Other

主題

explanatory ability

キーワード

主題Scheme

Other

主題

Japanese language proficiency

キーワード

主題Scheme

Other

主題

productive frequencies

キーワード

主題Scheme

Other

主題

SEM (structural equation modeling)

抄録

内容記述

SNSの普及にともない，書き言葉によるコミュニケーションが頻繁に行われるようになってきた。とりわけ，事実に即した情報や依頼などをわかり易く書き言葉で伝達するための「説明文（expository writing）」を書く能力が要求されるようになってきた。この能力を「説明力（explanatory ability）」と呼ぶ。現代社会において，説明力は日本語母語話者ばかりでなく外国人日本語学習者の実生活でも，なくてはならない能力になっている。そこで，『多言語母語の日本語学習者横断コーパス： I-JAS』に収録された２つのストーリーライティング課題が説明文を反映していると仮定し，海外で学習する日本語学習者850名が書いたテキストデータを基に，（１）動詞，助動詞，副詞，助詞の４つの品詞を「述部」とし，（２）名詞，形容詞，連体詞の３つの品詞を「名詞句」として，品詞別の産出頻度を算出した。そして，J-CAT（Japanese Computerized Adaptive Test）で測定された日本語能力からI-JASのテキストの産出頻度への因果関係モデル（図１を参照）を５つ想定して，構造方程式モデリング（structural equation modelling, SEM）の解析法で日本語能力と産出頻度データとの適合度を検討した。適合度指標に照らして，最適の因果関係モデル（図２を参照）をみいだした。このモデルは，次のような連続的な因果関係を示した。（１）語彙と文法が「基礎力」を構成し，（２）読解と聴解の「理解力」を促進し，（３）「述部」の語彙産出を豊かにし，（４）「名詞句」の語彙産出に大きく貢献する。
With the widespread use of SNS (social networking services), people are communicating more frequently by written text than ever before. The ability to express content plainly is in great demand. In the present study, this is defined as “explanatory ability”. In contemporary society, this ability has become essential to daily life not only for native Japanese speakers but also for foreign learners of Japanese. Assuming the two story-writing tasks recorded in the International Corpus of Japanese as a Second Language (I-JAS) reflect explanatory ability, the productive frequencies of lexical categories found in the text written by 850 Japanese learners outside Japan were divided into two groups: (1) four categories of verbs, auxiliary verbs, adverbs, and auxiliaries as “predicates” and (2) three categories of nouns, adjectives, and conjoined words as “noun phrases”. Using the statistical method of structural equation modelling (SEM), the five causal relation models linking Japanese proficiency as measured by the Japanese Computerized Adaptive Test (J-CAT) and text productive frequencies (see Figure 1) were examined to see how these models fit with data from proficiency scores and productive frequencies. Based on the fitting indexes, the study found the best causal model to be that identified in Model 2 (see Figure 2). This model showed causal sequencing in the following order: (1) procession of a basic knowledge of vocabulary and grammar (2) promotes reading and listening comprehension, further (3) enriches the production of predicates and (4) contributes to the production of noun phrases.

内容記述タイプ

Abstract

出版者

名古屋大学言語文化研究会

言語

jpn

資源タイプ

資源

http://purl.org/coar/resource_type/c_6501

タイプ

departmental bulletin paper

ID登録

10.18999/stul.34.45

ID登録タイプ

JaLC

ISSN（print）

収録物識別子タイプ

ISSN

収録物識別子

1345-6156

書誌情報

ことばの科学

巻 34, p. 45-64, 発行日 2020-12-25

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外国人日本語学習者850名の日本語能力から説明文の品詞別産出頻度への因果関係

× 玉岡, 賀津雄

× TAMAOKA, Katsuo

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