古典中国語(漢文)の形態素解析とその応用

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  • Morphological Analysis of Classical Chinese Texts and Its Application

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Abstract

古典中国語(漢文)の解析手法として,MeCabを用いた形態素解析手法を提案する.本手法では,漢文の動賓構造を表現すべく,4階層の「品詞」からなる新たな品詞体系を構築し,それに基づくMeCab漢文コーパスを設計した.合わせて,MeCab漢文コーパスを入力するための専用ツールとして,XEmacs CHISEをベースとしたコーパス入力ツールを開発した.また,MeCab漢文コーパスを効果的に管理し,さらには品詞体系のリファクタリングを行うべく,MeCab漢文コーパスのLinked Data化を行い,WWW上で公開した.さらに,MeCabを用いた漢文形態素解析の応用として,漢文における固有表現の自動抽出に挑戦した.結果として,地名の自動抽出は高精度に行うことができたが,官職・人名の自動抽出はそれぞれに課題が残った.

A method to analyze classical Chinese texts is proposed. In the method, we use our original morphological analyzer based on MeCab. We propose a new four-level word-class system to represent the predicate-object structure of classical Chinese. In order to make a corpus for classical Chinese on MeCab, we have constructed a MeCab-corpus editor based on XEmacs CHISE. In order to control the corpus effectively, and to refactor our four-level word-class system, we have converted it into Linked Data on WWW. As an applied study for our morpholgical analysis of classical Chinese texts, we have tried to extract named entities: names of places, job titles, and names of people. As a result we are able to extract names of places from classical Chinese texts almost perfectly. But we have found some difficulties to extract job titles or names of people.

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