A Study on Logical Structure of a Text by using Selected Sentence Patterns and its application to Teaching Japanese as a foreign language

精选句型的课文逻辑结构研究及其在对外日语教学中的应用

• 批准号: 11680317
• 负责人: MURATA Minori
• 金额: $ 1.98万
• 依托单位: Keio University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1999
• 资助国家: 日本
• 起止时间: 1999 至 2001
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-11680317/
• 关键词: a text having an explicit logical structure; test's genre; sentence patterns; multivaiate analysis; canonical discriminant analysis; Teaching Japanese as a foreign language; logical structure of a text; texts for writing; 接続語句; 助詞相当句; 統計学; 文体 /

It is quite important for advanced students of Japanese-Language for Specific Purposes to understand the underlying logical structure of the text. Since the logical structure will enhance an ability to read and write technical papers.Such items as the sentence patterns can provide important clues for understanding the logical structure of the text. The ultimate goal of this study is to clarify the logical structures of the technical texts in Japanese by focusing on the functions of the selected sentence patterns. As a step toward achieving this objective, we chose 132 text samples of six genres. Those six genres are (i) an introductory economics textbook, (ii) papers of the Journal of the Physical Society of Japan, (iii) papers of science and technology, (iv) papers of Japanese literature, (v) editorial articles of 4 kinds of newspapers, and (vi) modern novels. We counted the rate of appearance (per sentence) of the 62 selected sentence patterns of each sample. The analysis was conducted in the following two steps, (a) We first examined univariate distribution of the above 62 items and then applied the canonical discriminant analysis to 132 samples ((i) 16 samples (ii) 24 samples (iii) 14 samples (iv) 24 samples (v) 40 samples selected by random-sampling out of 222 (vi) 14 samples). (b) Secondly we applied the same method to 3 samples (i.e. (ii), (iii) and (iv)) which were belonged to the same genre, so-called "technical papers" in the first step.According to the result obtained (a), these genres are classified with 14 sentence patterns (out of 62) at a high apparent correct classification rate (80%), Following to the result obtained (b), the words which distinguished 3 genres were clearly selected. These results indicate the existence of common sentence patterns in texts having an explicit logical structure.

对于高级日语专业的学生来说，理解文本的基本逻辑结构是非常重要的。由于逻辑结构将提高阅读和撰写技术论文的能力。句型等项目可以为理解文章的逻辑结构提供重要线索。本研究的最终目的是通过关注所选句型的功能来厘清日语科技语篇的逻辑结构。为了实现这一目标，我们选择了6种类型的132个文本样本。这六种体裁分别是(i)经济学入门教材、（ii）日本物理学会期刊论文、（iii）科学技术论文、（iv）日本文学论文、(v)四种报纸社论文章、（vi）现代小说。我们统计了每个样本中62个选定句型的出现率（每个句子）。分析分为两个步骤：(a)首先检验上述62项的单变量分布，然后对132个样本((i) 16个样本（ii） 24个样本（iii） 14个样本（iv） 24个样本（v)从222个样本中随机抽样选择40个样本（vi） 14个样本）进行典型判别分析。(b)其次，我们将相同的方法应用于3个样本（即（ii）， （iii）和（iv）），它们属于同一类型，在第一步中称为“技术论文”。根据(a)得到的结果，用14个句式（62个句式中的14个句式）对这些体裁进行了分类，分类的表观正确率很高（80%）。根据(b)得到的结果，明确选出了区分3个体裁的单词。这些结果表明，具有明确逻辑结构的文本中存在常见句型。

项目成果

村田 年: "言語教育-日本語教育の現場から-"平成12年度 異分野研究者交流フォーラム 脳を育む-学習の科学-予稿集. 117-120 (2000)

Murata, T.：“语言教育 - 来自日语教育领域”2000 年跨学科研究人员交流论坛培育大脑 - 学习科学 - 论文集 117-120 (2000)。

村田 年: "論述構造を支える文型の基礎的研究-多変量解析によるジャンル判別に有効な文型の抽出-"専門日本語教育研究. 1. 32-39 (1999)

Murata, T.：“支持论证结构的句型基础研究 - 使用多元分析提取对流派辨别有效的句型”《专业日语教育研究》1. 32-39 (1999)。

Murata Minori: "Language Education-From the perspective of Teaching Japanese as a foreign language -"The Trans-disdplinary Forum: Developing the Brain-The Science of Learning and Educartion-. 117-120 (2000)

村田小里：《语言教育——从对外日语教学的角度看——》跨学科论坛：开发大脑——学习与教育的科学——。

村田年: "文章と文型3-社説における文型の使用頻度調査-"日本語と日本語教育. 29. 43-60 (2000)

村田敏：“句子和句型3-社论中句型使用频率的调查-”日语和日语教育。29. 43-60 (2000)。

村田 年: "論理展開を支える機能語句-接続語句・助詞相当句による文章のジャンル判別を通じて-"計量国語学. 23・4. 185-206 (2002)

Murata, T.：“支持逻辑发展的功能短语 - 通过使用连词和粒子等效短语来确定句子的类型”Metric Japanese Linguistics 185-206 (2002)。