英文摘要 |
"本論文主要是應用自然言語處理當中廣泛被利用於語言資料庫之質化分析的文本探勘技術,來掃描檢視日語相關之日本語學、文學、歷史以及社會文化研究等之人文社會研究或日本語教育等教學活動以及研究之現況與課題。以下面2個步驟進行。(1)文章類別之問題:因自然言語處理技術之發達,掌握到言語表現上的基本差異性。藉由文本探勘技術來探討如何掌握文章類別之差異性,並從中明白文章類別之特徴。(2)文本分析之日本相關領域之應用:文本探勘解析出言語表達之質性差異,是可以直接導入日語相關之日本語學、文學、歷史以及社會文化研究等之人文社會研究或日本語教育等(總稱為日本相關領域)。其中將活用文字探勘技術之日語教育之教室活動,多加著墨來探討。 In this paper, I would like to take up text mining, which has been widely applied in qualitative analysis of linguistic data among the applications of natural language processing, and look at the current status and issues of its application to Japanese language studies, literature, humanities and social sciences such as history and social culture studies, as well as educational activities and research in Japanese language education from the following aspects.(1) The problem of text genre: With the development of natural language processing, it has become clear that there are fundamentally large differences in linguistic expressions. I will discuss how differences in text genres can be grasped by text mining, and what the characteristics of text genres can be understood from this.(2) Application of text mining to Japan-related fields: Text mining technology has become capable of extracting qualitative differences in linguistic expressions in a pseudo-realistic manner. Text mining technology can be directly applied to Japanese language studies, literature, humanities and social sciences such as history and sociocultural studies, as well as to educational activities and research in Japanese language education and learning (collectively, Japan-related fields), where qualitative research is a specialty of the department. In particular, I will discuss the classroom activities of Japanese language education that apply text mining technology." |