• Lingua Humanitatis
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• v.1 no.1
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• pp.235-251
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• 2001

According to Chomskyan grammar, humans can generate and understand an unbounded number of grammatical sentences. Against the background of pure and idealized linguistic competence, this linguistic productivity is argued and understood. In actual utterances, however, there are many limitations of productivity but they are said to come from the general constraints on performances such as capacity of short term memory or attention. In this paper I discuss a problem raised against idealized productivity. I argue that linguistic productivity idealizes our linguistic competence too much. By separating idealized competence from the various constraints of performance, Chomskyan theorists can argue for unlimited productivity. However, the absolute distinction between grammar (pure competence) and parser (actual psychological processes) makes little sense when we explain the low acceptability(intelligibility) of center embedded sentences. Usually, the problem of center embedded sentence is explained in terms of memory shortage or other performance constraints. To explain the low acceptability, however, we need to assume specialized memory structure because the low acceptability occurs only with a specific type of syntactic pattern. 1 argue that this special memory structure should not be considered as a general performance constraint. It is a domain specific (specifically linguistic) constraints and an intrinsic part of human language processing. Recent development of Chomskyan grammar, i.e., minimalist approach seems to close the gap between pure competence and this type of specialized constraints. Chomsky's earlier approach of generative grammar focuses on end result of the generative derivation. However, economy principle (of minimalist approach) focuses on actual derivational processes. By having less mathematical or less idealized grammar, we can come closer to the actual computational processes that build syntactic structure of a sentence. In this way, we can have a more concrete picture of our linguistic competence, competence that is not detached from actual computational processes.

• Journal of KIISE:Software and Applications
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• v.28 no.7
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• pp.524-536
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• 2001

본 논문에서는 다수의 페이지로 구성된 복잡한 구조의 문서로부터 SGML/XML에 기반한 전자 문서를 생성하기 위한 구문론적인 구조분석 방법을 제안한다. 특히 제안된 파싱 기법은 텍스트 라인을 기본 단위로 하는 기존 연구보다 논리적인 계층 구조를 보다 정확하고 빠르게 생성하기 위하여 텍스터 영역의 계층적인 트리 구조를 입력으로 받아들인다. 또한 문서 유형의 논리적인 구조 정보와 기하적인 특성을 효과적으로 기술할 수 있는 문서모델을 정의하고, 이의 자동 생성과 점증적인 학습 방법을 제안한다. 제안된 방법의 성능을 평가하기 위하여 과학 기술 논문으로부터 스캐닝한 372개의 논문 연상으로 실험한 결과, 제안된 방법은 기존 연구와 달리 다수의 문서 영상으로 구성된 문서에 대하여 논리적인 구조분석과 문서 모델의 자동 생성을 효율적으로 지원하였다. 특히 제안된 방법은 논리적인 구조분석의 최종 결과로서 SGML/XML 문서를 생성하기 때문에 문서의 재 사용성과 호환성을 높인다.

• Annual Conference on Human and Language Technology
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• 2003.10d
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• pp.89-94
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• 2003

본 논문에서는 질의문 내에 포함된 동사를 중심으로 한 질의어 확장 및 정답 추출 기법을 이용한 질의 응답 시스템에 대해 기술한다. 질의 응답시스템 전체의 과정에서 동사는 하나의 정보를 표현하는 중요한 요소로 활용하며, 동사에 대한 활용은 구축된 동사구문 사전의 정보를 이용한다. 동사구문 사전은 동사의 일반적인 표층형태와, 각 문장 성분들의 의미속성, 유의동사 등의 정보를 담고 있다. 또한 동사 구문사전의 활용에서의 동사 모호성을 배제하고, 효율을 높이기 위해 약 3만 어휘의 명사 의미 사전을 사용한다. 명사 의미사전은 구문사전 내에 사용된 의미분류로 나누어져 있으며, 유의명사 및 국어사전 상의 뜻 풀이말을 포함하고 있다. 질의문 및 각 후보 문장에 대한 구문분석은 구문사전 내에 나타난 품사 별 의미속성과, 문법 형태소의 격 정보를 이용한 격 구조를 활용하였다. 논문 중에는 일반적인 질의 응답 시스템의 3단계에 맞추어 구문사전 활용 및 구문분석의 수행 단계를 보이고 마지막에 각 기법의 정확도를 보였다.

• Language and Information
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• v.17 no.2
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• pp.51-66
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• 2013

Korean is a wh-in-situ language where the wh-expression stays in situ with an obligatory Q-particle marking its interrogative scope. This paper briefly reviews some basic properties of the wh-question construction in Korean and shows how a typed feature structure grammar, HPSG (Pollard and Sag 1994, Sag et al. 2003), together with the notions of 'type hierarchy' and 'constructions', can provide a robust basis for parsing the wh-construction in the language. We show that this system induces robust syntactic structures as well as enriched semantic representations for real-time applications such as machine translation, which require deep processing of the phenomena concerned.

• Proceedings of the Korean Society for Language and Information Conference
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• 2002.02a
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• pp.69-78
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• 2002

This paper discusses issues in building a 54-thousand-word Korean Treebank using a phrase structure annotation, along with developing annotation guidelines based on the morpho-syntactic phenomena represented in the corpus. Various methods that were employed for quality control and the evaluation on the Treebank are also presented.

• Proceedings of the Korean Society for Language and Information Conference
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• 2002.02a
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• pp.59-68
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• 2002

In this paper, we address two questions concerning negative imperatives in Korean: (i) what is the morpho-syntactic nature of mal in negative imperatives\ulcorner; and (ii) why is it impossible to form negative imperatives with short negation an\ulcorner We will argue that the clause structure of imperatives include a projection of deontic modality and a projection of imperative operator encoding illocutionary force, and that oaf is a lexicalization of long negation and deontic modality. We then propose that a negative imperative with short negation is ruled out because such construction maps onto incoherent interpretation which can be spelled out as I direct you to bring about a negative state or a negative event.

• Language and Information
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• v.15 no.2
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• pp.1-21
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• 2011

Of the coordination structures in Korean, the symmetric and asymmetric properties of verbal coordination have challenged both theoretical and computational approaches. This paper shows how a typed feature structure grammar, HPSG, together with the notions of 'type hierarchy' and 'constructions', can provide a robust basis for parsing (un)tensed verbal coordination as well as pseudo-coordination found in the language. We show that the analysis sketched here and computationally implemented in the existing resource grammar for Korean, Korean Resource Grammar (KRG), can yield proper syntactic structures as well as enriched semantic representations for real-time applications such as machine translation.

• Korean Journal of Cognitive Science
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• v.1 no.2
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• pp.255-257
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• 1989

This paper proposes a method for extracting the imformation of aspect and modality from the predicative part which is consisted of main verbal and auxiiary verbals.Data which are expressed by the compound predicate with many consecutive verbals are collected and analyzed to thirty-six structual forms of the predicative part.Inthe final analysis, an extracting function of conceptual information is derived to find the connoted aspect and modality in each structure.The informations which are obtained by this function decrease the individual ambiguity of an auxiliary verbal and offer a detailed meaning inthe syntactic and semantic analysis of machine translation system or inference machine.

• The Journal of Society for e-Business Studies
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• v.7 no.1
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• pp.141-152
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• 2002

Data dictionary is a collection of meta-data, which describes data produced and consumed while performing business processes. Data dictionary is an essential element for business process standardization and automation, and has a fundamental role in ERP application management and customization. Also, data dictionary facilitates B2B processes by enabling painless integration of business processes between various enterprises. We implemented data dictionary support in SEA＋, a component- based scalable ERP system developed in ETRI, and found out that it's a plausible feature of business information system. We discovered that data dictionary promotes semantic, not syntactic, data management, which can make it possible to leverage viability of the tool in the coming age of more meta-data oriented computing world. We envision that business data dictionary is a firm foundation of adapting business knowledge, applications and processes into the semantic web based enterprise infra-structure.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.175-177
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• 2000

본 논문에서는 다수의 페이지로 구성된 복잡한 구조의 문서로부터 SGML/XML에 기반한 전자 문서를 생성하기 위한 구문론적인 구조분석 방법을 제안한다. 제안된 방법은 구조분석의 정확성과 처리속도의 향상을 위하여 텍스트 영역의 계층적인 트리를 파싱하여 논리적인 계층 구조를 추출한다. 또한 본 논문은 문서 유형의 논리적인 구조 정보와 기하적인 특성을 효과적으로 기술할 수 있는 문서 모델을 정의한다. 제안된 방법의 성능을 평가하기 위하여 IEEE Transactions on Pattern Analysis and Machine Intelligence로부터 스캐닝한 372개의 논문 영상으로 실험한 결과, 제안된 방법은 기존 연구와 달리 다수의 문서 영상으로 구성된 문서에 대하여 논리적인 구조분석을 효율적으로 지원하였다. 특히 제안된 방법은 논리적인 구조분석의 최종 결과로서 SGML/XML 문서를 생성하기 때문에 문서의 재사용성과 호환성을 높인다.