메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국사전학회 한국사전학 한국사전학 제8호
발행연도
2006.10
수록면
187 - 233 (47page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
The paper presents the Meaning-Text linguistic theory, a theoretical framework for the construction of models of natural languages, called Meaning-Text Models. Since its beginnings, in the 1960's, the Meaning-Text theory has placed strong emphasis on semantics and considered natural language primarily as a tool for expressing meaning. This basic insight underlies its interest in linguistic synthesis (rather than analysis), paraphrase (synonymy of linguistic expressions, in particular of full sentences) and the lexicon. The Meaning-Text theory has always considered relations (rather than classes) to be the main organizing factor in language and has made an extensive use of the concept of linguistic dependency, in particular of syntactic dependency (vs. constituency). Thus, it has in many ways anticipated current developments in linguistics. Due to a formal character of the Meaning-Text theory and the corresponding models, the latter have been successfully applied in Natural Language Processing, in particular automatic text generation and machine translation.
The paper is organized in five sections: 1. Natural language viewed as a Meaning-Text correspondence (postulates of the theory); 2. Meaning-Text Models of natural languages (characteristics of the models: levels of linguistic representation and rules which establish correspondences between them); 3. Illustration of the linguistic synthesis in the Meaning-Text framework; 4. Summary of the main features of the Meaning-Text theory; 5. Basic Meaning-Text bibliography.

목차

1. Natural language viewed as a Meaning-Text correspondence
2. Meaning-Text Models
3. Linguistic Synthesis in the Meaning-Text framework
4. Summary of the main features of the MTT
5. Basic MTT Bibliography
Acknowledgment
Abstract

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2009-703-019488694