Earticle

초록

영어

This study reviews two opposing theories regarding human language competence, i.e. the logical nativism vs. empiricism, which is reminiscent of the so-called ‘nature vs. nurture’ dispute originating from Plato’s dialogues. Generative grammar is the representative linguistic theory that embodies the idea of logical nativism, whereas Constructivist theory is the typical experience-based linguistic approach. Connectionist model (deep learning), the leading methodology of current NLP(natural language processing), is reconsidered with respect to the two theories of language competence aforementioned and the empirical nature of deep learning devise is confirmed. By reviewing possibilities and limitations of integration of the empirical approach of connectionism and the rule-based approach of theoretical linguistics discussed by Pater (2019) and others, it is concluded that a hybrid approach is in need. Two additional factors supporting the hybrid approach are provided, one for a proper explanation of the difference between native language acquisition and foreign language acquisition and the other from the empirical nature incorporated in Montague semantics which is fundamentally a rule-based linguistic theory.

목차

1. 서론
2. 인간의 언어습득 이론
2.1 논리적 자연주의 (Logical Nativism)
2.2 경험주의적 (experience-based) 입장
2.3 언어 기원에 대한 함의
3. 자연 언어 처리의 전산언어학적 방법론
3.1 신경망 (Neural Network)
3.2 딥러닝을 이용한 단어 표상(word representation) 방법
4. 생성문법과 연결주의의 혼합접근
4.1 혼합접근의 걸림돌
4.2 혼합접근의 가능성
5. 혼합접근의 추가 근거
5.1 모국어 습득과 외국어 습득
5.2 몬태규 의미론의 경험주의
6. 결론
인용문헌
[Abstract]

저자

• 위혜경 [ HaeKyung Wee | 단국대학교, 교수 ]

참고문헌