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This study introduces a language processing model of one of the most prominent French computational linguists, Maurice Gross (1934~2001), discussing its computational applications. The methodology he proposed for describing syntactic properties of French simple sentences presupposes the exhaustive examination of all predicative entries, which gave it the name Lexicon-Grammar. The results of this approach are presented under a form of binary matrix: about 75,000 French predicates have been described and classified in syntactic tables. However, Gross realized that there still existed tremendous size of non-regular expressions, called compound words, frozen phrases or multi-word expressions, which can hardly can be described under syntactic and formal devices. Thus, he suggested a more processing-oriented framework named Local Grammar (LGG) which is represented as a directed graph like RTN (Recursive Transition Network). The LGGs are transformed into finite-state automata or transducers by means of FSTgraphEditor in UNITEX system, which is implemented, on one hand, for this purpose and, on the other hand, for the automatic corpus processing based on these finite graphs as well as electronic dictionaries included in the system. In this paper, various areas of LGG applications are discussed, such as the construction of linguistic resources, information extraction/opinion mining or formalization of frozen expressions for machine translation.

목차

1. 들어가기
 2. 모리스 그로스의 연구 생애
 3. 그로스의 언어학적 연구 모델
  3.1. 어휘문법 (Lexique-grammaire)
  3.2. 규칙에서 예외적인 언어 현상들
 4. 그로스의 자동 언어처리 모델
  4.1. 유한 오토마타 모델 ‘부분문법(Grammaire locale)
  4.2. 어휘화된 통사 기술에 기반한 TAL 연구
 5. 전산학적 적용
  5.1. 전자사전 및 문법의 구현
  5.2. 정보추출 및 오피니언 마이닝
  5.3. 자동 번역을 위한 관용 표현 기술
 6. 결론
 인용문헌
 Abstract

저자

• 남지순 [ Jeesun Nam | 한국외국어대학교 ]

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