• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.260-263
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• 2017

This paper is to broaden the possible spectrums of analyzing the Korean-written novel "The Vegetarian" by using the computational linguistics program. Through the use of language model, which was usually used in bi-gram analysis in corpus linguistics, to the International Man Booker award winning novel, the characteristics of "The Vegetarian" is investigated by comparing it to the English-written novel "A Little Life".

• Annual Conference on Human and Language Technology
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• 2006.10e
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• pp.109-116
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• 2006

자연 언어의 각 어휘는 서로 관계를 가지고 계층적 입체적 모델로 존재한다. 이러한 전제에서 출발한 연구 가운데 대표적인 것이 의미 계층이다. 본고에서는 한국어 형용사의 의미 계층을 추출하는 것을 목표로 하여, 형식적 객관적 방법론을 정립하고, 결과를 비교적 신속하고 정확하게 이끌어 낼 수 있는 전산적 처리 도입하였다. 우선 전체 구축에 필요한 절차를 세우고 각 단계에서 필요한 방법과 휴리스틱을 정리하였다. 이를 바탕으로 사전 뜻풀이말을 이용하여 반자동으로 작업하였으며, 일부 코퍼스를 활용하였다 최종 알고리즘으로는 Top-Down 방식을 택하였다. 이렇게 추출된 한국어 형용사 의미 계층은 226개의 최상위어에서 시작하여 총 3,792개의 표제어를 망라한다. 또한 수직적 계열 관계만을 명시했을 경우 나타날 수 있는 한계를 보완하기 위해, 동의어 반의어와 같은 수평적 의미 관계와 공기 명사와 같은 결합 관계 등을 함께 기술하였다. 한편 표제항을 뜻풀이말의 공기 명사를 이용하여 의미별로 분류하고 각 분류마다 별도의 의미 계층을 수립하였다.

• Annual Conference on Human and Language Technology
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• 2000.10d
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• pp.395-401
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• 2000

국어에서는 어떠한 대상 의 수량을 표현할 때 수사와 함께 분류사(classifier)를 사용한다. 따라서 분류사는 그 특성상 수량 표현 구문을 형성하는 대상 명사와 의미적으로 밀접한 관련을 지니게 되는데, 단순히 명사를 셈하는 것 뿐 아니라 명사의 의미적 특성을 명세(specify)해 준다고 할 수 있다. 본 연구에서는 이러한 명사와 분류사의 연관성에 초점을 맞추어 분류사의 사용에 따른 명사의 범주화 및 계층 구조를 보이고, 컴퓨터 말뭉치 자료를 이용하여 그 관계를 좀더 명확히 밝히는 것을 목적으로 한다. 이러한 연구는 언어를 전산적으로 처리하는데 필수적인 전산어휘부(computational lexicon)의 구축에 필요한 기초 작업이 될 수 있다.

• Proceedings of the Korean Society for Language and Information Conference
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• 2002.02a
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• pp.296-307
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• 2002

This paper provides computational algorithms for a Korean reflexive caki, for which both sentence-bound and long-distance readings are possible. Its analyses are based on Chierichia's theory in Categorial Grammar, and a CCG-like system is introduced for the implementation. In this system, we can get both readings of caki with the same resolution mechanisms, while the difference is where the reflexive is resolved. These algorithms enable us to account for the distributions and characteristics off long-distance reflexive caki with a more unified way.

• Journal of applied mathematics & informatics
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• v.9 no.2
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• pp.645-655
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• 2002

In this Paper we consider non-deterministic finite Rabin-Scott's automata. We define special abstract objects, being pairs of values of states-marking functions. On the basis of these objects as the states of automaton, we define its edges; the obtained structure is considered also as a non-deterministic automaton. We prove, that any edge of any non-deterministic automaton defining the given regular language can be obtained by such techniques. Such structure can be used for solving various problems in the frames of finite automata theory.

• Annual Conference on Human and Language Technology
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• 1995.10a
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• pp.300-309
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• 1995

언어표현에 대한 해석은 그 구성요소들의 통사적-어휘적 구조에 덧붙여 대명사의 동일지시를 살펴야 할 필요가 있다. 조응의 분석과 조응적 선행사를 찾기 위한 효과적인 방법을 발견하는 것이 컴퓨터 언어학(computational linguistics), 특히 자연언어 이해체계(Natural Language understanding system)에 관한 연구의 중심적인 문제라고 할 수 있다. 이 논문의 목적은 영어 조응표현을 개념구조 이론(Conceptual Structure Theory)의 개념도식(conceptual graph)에 의하여 기술함으로써 단문에서뿐만 아니라 복문, 양화구문, 그리고 담화에 이르기까지 언어 전반에 걸쳐 나타나는 동일지시성(coreferenciality)을 간단하고 일관성 있게 설명하는 것이다. 이러한 조응현상을 설명하기 위하여 필자는 개념도식상의 개념을 중심개념, 직접개념, 간접개념으로 구분하고 이들이 문맥깊이 등과 더불어 동일지시성을 설명하는데 중심적 역할을 함을 보이고자 한다.

• Proceedings of the Korean Society for Language and Information Conference
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• 2002.02a
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• pp.177-186
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• 2002

Korean predicative verb forms obligatorily denote the three categories speech level, mood and sentence type which are not handled by most of the automatic word form recognition systems for this language. These categories are marked by special endings. This paper examines predicative verb forms concentrating on the lexical description of these endings in the framework of Left-Associative Grammar (LAG). Additionally this paper suggests a system to analyse verb forms in these aspects. The results of this study have been implemented using Malaga$^2$ and integrated into an automatic word form recognition system for Korerin called KMM (Korean Malaya Morphology).

• Journal of the Korea Computer Industry Society
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• v.5 no.1
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• pp.65-76
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• 2004

In this paper, we observe the differences between linguistic and computational aspect in the automatic processing of languages which are dominant representation method for information in the Internet. For efficient information retrieval, information extraction and machine translation from the massive documents, we investigate analysis units for morphology analysis, syntactic analysis and semantic analysis. and propose the syntactic longest analysis unit rather than morphological unit based on linguistics. Also, by evaluating with massive documents, we show that the proposed analysis units can be used for the constraint which can reduce the ambiguity occurring in the language processing.

• The Journal of Information Systems
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• v.26 no.4
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• pp.327-353
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• 2017

Purpose Social media such as social network services, online forums, and customer reviews have produced a plethora amount of information online. Yet, the information deluge has created both opportunities and challenges at the same time. This research particularly focuses on the challenges in order to discover and track the service defects over time derived by mining publicly available online customer reviews. Design/methodology/approach Synthesizing the streams of research from text analytics, we apply two stages of methods of sentiment analysis and structural topic model incorporating meta-information buried in review texts into the topics. Findings As a result, our study reveals that the research framework effectively leverages textual information to detect, prioritize, and categorize service defects by considering the moving trend over time. Our approach also highlights several implications theoretically and practically of how methods in computational linguistics can offer enriched insights by leveraging the online medium.

• Language and Information
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• v.4 no.1
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• pp.43-65
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• 2000

Along with the flourishign development of computational linguistics, research on the meanings of individual words has started to resume. Polyusemous words are especially brought into focus since their multiple senses have placed a real challenge to linguists and computer scientists. This paper mainly concerns the following three questions with regard to the treatments of such polysemous nouns and verbs in English and Korean. Firstly, what types of information should be represented in individual lexical entries for those polysemous words\ulcorner Secondly, how different are corresponding polysemous lexical entries in both languages\ulcorner Thirdly, what does a mental lexicon look like with regard to polysemous lexical entries\ulcorner For the first and second questions, Pustejosky's (1995) Generative Lexicon Theory (hereafter GLT) will be discussed in detail: the main focus falls on developing alternative way of representing (polysemous) lexical entries. For the third question, a brief discussion is made on mapping between concepts and their lexicalizations. Furthermore, a conceptual graph around conept 'bake' is depicted in terms of Sowa(2000)