• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2007년도 정기학술대회
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• pp.375-384
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• 2007

This paper describes a method for automatic acquisition of wide-coverage treebank-based deep linguistic resources for Japanese, as part of a project on treebank-based induction of multilingual resources in the framework of Lexical-Functional Grammar (LFG). We automatically annotate LFG f-structure functional equations (i.e. labelled dependencies) to the Kyoto Text Corpus version 4.0 (KTC4) (Kurohashi and Nagao 1997) and the output of of Kurohashi-Nagao Parser (KNP) (Kurohashi and Nagao 1998), a dependency parser for Japanese. The original KTC4 and KNP provide unlabelled dependencies. Our method also includes zero pronoun identification. The performance of the f-structure annotation algorithm with zero-pronoun identification for KTC4 is evaluated against a manually-corrected Gold Standard of 500 sentences randomly chosen from KTC4 and results in a pred-only dependency f-score of 94.72%. The parsing experiments on KNP output yield a pred-only dependency f-score of 82.08%.

• 한국언어정보학회지:언어와정보
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• 제3권1호
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• pp.65-82
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• 1999

The interests in Machine Translation(MT) have gotten revitalized lately with the rapid expansion of internet users. MT technology has gone through several different stages of development, but the longest surviving methods usually maintains the following characteristics: the expand ability and flexibility based on proved linguistic formalism, the transfer method of translation, the continued efforts of systematic updates being made into the system. This paper introduces one such system, L&H Korean-English bidirectional MT system. This system uses Lexical-Functional Grammar as its linguistic framework. It also adopts the transfer method of MT and has been around on the market for over 10 years for other language pairs. Currently, the system covers over 10 different languages including Chinese, Japanese and Arabic, in addition to European languages. This paper will review the system in its core and discuss related tools and resources be ing used to enhance the quality of translation.

• 한국언어정보학회지:언어와정보
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• 제2권1호
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• pp.177-213
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• 1998

conflicting criterial used in identifying words have called the lexical integrity principle into question. That is, cases where the morphological word does not coincide with the syntactic word have notivated the syntactic view of word derivation, as pointed out by Bresnan and Mchombo(1995). Further, the implicit desire to make the clausal structure of Korean parallel to those posited for English(Chomsky 1991) and French(Pollock 1989) has also led most of the current literature on Korean morphology to claim that Korean verbal inflections head their own functional projections such as AgrP, TP, and MP im syntax. In this paper, I will first argue against such a syntactic view. After reviewing some basic properties of Korean verbal inflections, I will show that the evidence from mismatch phenomena supports the lexical integrity principle over the head-movement theories of word derivation. Then, I will propose a theory of lexical grammar which maintains the lexical integrity principle while retaining the effects of functional projections and syntactic movement.

• 한국정보처리학회논문지
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• 제6권12호
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• pp.3539-3547
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• 1999

KANT(Knowledge-based Accurate Natural language Translation) 시스템 생성 엔진을 위한 한국어 언어 정보를 구축하였다. KANT 시스템은 언어 중립적인 생성 엔진을 갖고 있기 때문에 한국어 언어 정보의 구축은 사실상 한국어 생성 모듈의 개발을 의미한다. 구축된 언어 정보는 개념별 한국어 대응 규칙, 범주별 한국어 대응 규칙, 한국어 사전 및 템플리트 선언, 한국어 문법 규칙, 한국어 어휘 유형, 한국어 어휘 규칙, 한국어 다시 쓰기 규칙 등으로 구성된다. 구축된 언어 정보를 이용해 KANT 시스템 개발 측이 준비한 118 문장 분량의 중간 언어 표현로부터 106 문장을 올바르며 완전한 한국어 문장으로서 생성하였다.