• English Language & Literature Teaching
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• v.10 no.2
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• pp.1-23
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• 2004

This article reports a bi-directional interlanguage study designed to investigate the initial state of L2 acquisition with regard to English and Korean wh-questions. Based on the UG system in line with the minimalist theory, it was hypothesized that the L2 initial state is characterized by the most economical form of syntax in which no overt wh-movement to Spec-CP is assumed. Results of the early interlanguage study showed that 1) L1 Korean learners of L2 English predominantly produced wh-questions with the fronted wh-word, but without productive wh-movement to the Spec-CP position; and 2) L1 English learners of L2 Korean overwhelmingly produced wh-questions with the wh-word remaining in-situ. These results were interpreted as supporting the minimalist account of the L2 initial grammar in that no overt syntactic wh-movement were adopted in early interlanguages of both English and Korean regardless of the learner's L1.

• Language and Information
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• v.15 no.1
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• pp.63-78
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• 2011

This study investigates the binding behavior of the Korean anaphor 'caki', which has been regarded thus far as a long-distance anaphor (LDA). Given that even local anaphors can be bound long-distance when they function as exempt anaphors in certain languages (Pollard and Sag 1992; Kim and Yoon 2009a, b), I investigated the binding behavior of LD-bound 'caki', in order to determine whether LD-bound 'caki' differs from LD-bound 'caki-casin' in the same contexts. In the experiment, subjects were required to rate the grammaticality of Korean sentences representing various types of LD binding of 'caki' and to determine whether the sloppy or the strict reading was more prominent in elliptical VPs containing the anaphor. The results are discussed with respect to the typology of LDAs proposed by Cole, Hermon and Huang (2001).

• Korean Journal of English Language and Linguistics
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• v.3 no.1
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• pp.55-88
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• 2003

In this paper, I will review two main theories on presupposition projection and point out their problems, and suggest the directions of a better analysis. Satisfaction theory is based on the single idea that presuppositions must be satisfied in the local context for the interpretation of a sentence. Problems occur because the theory makes only a minimal requirement on the input context for interpretation. They include the problems of weak presuppositions, unmotivated local accommodation, and projection of satisfied presuppositions. Binding theory assumes that presuppositions are anaphoric elements which can be accommodated. I will show that the syntactic notion of binding is not motivated, and claim that presupposition projection is a matter of information. Finally, I suggest the directions for a better analysis.

• Korean Journal of Cognitive Science
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• v.3 no.1
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• pp.1-24
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• 1991

This paper presents the Lexical Ambiguity Resolution System of Korean Language. This system uses Dependency grammar and Collative Semantics. Dependency grammar is used to analyze Korean syntactic dependency. A robust way to analyze a sentence is to establish links between individual words. Collative Semantics investigates the interplay between lexical ambiguity and semantics relations. Collative Semantics consists of sense-frame, semantic vector, collation, and screening. Our system was implemented by C programming language. This system analyzes sentences, discriminates the kinds of semantic relation between pairs of words senses in those sentences, and resolves lexical ambiguity.

• Korean Journal of Cognitive Science
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• v.11 no.1
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• pp.25-32
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• 2000

Korean passive verbs are derived from their corresponding active verbs by suffixation or by adding endings and auxiliaries to their stems. Therefore. we assume p passive verbs share some lexical informations with their active counterparts. This paper extending the Generative Lexicon theory of Pustejovsky (995). aims to characterize the argument realization patterns of Korean passive verbs focusing on the case alternation a and to propose their lexical semantic structures which account for the syntactic behavior.

• 한국어정보학회:학술대회논문집
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• 2016.10a
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• pp.102-104
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• 2016

하위범주화는 술어와 보어간의 의존 관계를 정의하는 언어정보로서 다의어 태깅이나 이 외에 자연어처리의 다양한 곳에 이용될 수 있다. 그러나 하위범주화에서 다루는 필수논항은 격조사로 표현되어 실제로 한국어에서 자주 나타나는 보조사는 여기에 포함되지 않는다. 이런 문제 때문에 하위범주화네 나타난 격조사만을 그대로 이용하려고 하면 재현율에 큰 문제가 발생하게 된다. 본 논문에서는 문장에서 격조사 대신 보조사가 사용되었을 때 하위범주화의 필수논항으로 인정할 수 있는 방법을 제시하고, 특히 보조사에 적용할 경우에 생기는 이점을 실험으로 증명한다.

• Proceedings of the KAIS Fall Conference
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• 2002.11a
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• pp.269-274
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• 2002

Argument alternation in English sentences such as "load hay onto the truck" vs. "load the truck with are swarming in the garden" vs. "The garden swarms with bees" present an interesting dilemma for ling in several ways. Along with each kind of syntactic rearrangement of arguments goes a subtle but sig systematic change in the verb's meaning. This has been called as different terminology such as "D "Verbal diathesis", and most commonly as "Argument alternation". Dowty adopts tern Agent-subject(A-subject) form and Location-subject(L-subject) form in referring the two kinds of analyses as well as describes their different properties. In this paper. I basically follow assumption while surveying several 1inguists's analysis and show its theoretical adequacy.

• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.60-63
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• 2017

자연어처리에 딥 러닝을 적용하기 위해 사용되는 Word embedding은 단어를 벡터 공간상에 표현하는 것으로 차원축소 효과와 더불어 유사한 의미의 단어는 유사한 벡터 값을 갖는다는 장점이 있다. 이러한 word embedding은 대용량 코퍼스를 학습해야 좋은 성능을 얻을 수 있기 때문에 기존에 많이 사용되던 word2vec 모델은 대용량 코퍼스 학습을 위해 모델을 단순화 하여 주로 단어의 등장 비율에 중점적으로 맞추어 학습하게 되어 단어의 위치 정보를 이용하지 않는다는 단점이 있다. 본 논문에서는 기존의 word embedding 학습 모델을 단어의 위치정보를 이용하여 학습 할 수 있도록 수정하였다. 실험 결과 단어의 위치정보를 이용하여 word embedding을 학습 하였을 경우 word-analogy의 syntactic 성능이 크게 향상되며 어순이 바뀔 수 있는 한국어에서 특히 큰 효과를 보였다.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.190-194
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• 2003

자연언어 질의문에서 추출된 키워드들은 정답추출에 미치는 비중이 다른 경우가 많지만 키워드들에 대해 상대적인 가중치를 부여하기가 어렵다. 본 논문에서는 이러한 문제점을 해결하기 위하여 질의 문장의 구문 정보를 이용하여 중심키워드와 일반키워드들로 구분하였으며 이를 기반으로 키워드들 간의 가중치 부여 방법을 제안한다. 질의문 코퍼스로부터 질문 유형을 분석하여 구문을 추출하고 추출된 구문정보를 이용하여 질의문에서 키워드들을 추출한다. 이렇게 얻어진 키워드들을 이용하여 다량의 문서들 속에서 중심키워드와 일반키워드들 간의 불린 검색을 통해 질의문의 정답이 포함되었을 가능성이 큰 단락을 추출하고, 질의문과 추출된 단락간의 유사도 측정을 통해 단락을 순위화 한다. 본 논문에서 제안하는 시스템은 질의문의 정답이 포함된 단락추출에 대한 정확도를 향상시킬 것으로 기대된다.

• 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.