• 중국학논총
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• no.71
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• pp.83-106
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• 2021

South Korean users of second language have been often heard such assessments as "you don't' have confidence" and "your writing is good, but your speech is poor." Some scholars have pointed out the teaching method as the cause. In other countries, the mainstreamargument is that students can have practical language experience in a more liberal atmosphere through small group-oriented classes rather than through teacher-centered whole-group activities in foreign language curriculums. Many teachers are using various learning tools or a combination of different teaching methods to minimize the shortcomings of the grammar translation method. However, unlike other studies, the present study focuses on improving the grammar translation teaching method itself.

• 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.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.06a
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• pp.133-137
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• 2000

구문태그가 부착되지 않은 코퍼스를 사용하여 문법규칙의 확률을 훈련하는 비통제 학습(unsupervised learning) 방법의 대표적인 것이 CNF(Chomsky Normal Form)의 CFG(Context Free Grammar)를 입력으로 하는 inside-outside 알고리즘이다. 본 연구에서는 의존문법을 CNF로 변환하는 기법에 대해 논하고 의존문법을 위해 변형된 inside-outside 알고리즘을 논한다. 또한 이 알고리즘을 사용하여 실제 훈련한 결과를 보이고, 의존규칙과 구문구조 확률을 같이 사용하는 hybrid방식 구문분석기에 적용한 결과를 보인다.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.365-374
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• 2007

This paper investigates the nature of Japanese argument cluster (Steedman 2000b). Based on Combinatory Categorial Grammar, a type-raising analysis of case particles which captures some aspects of the information structure in Japanese is discussed, including contrastive interpretation of coordination, wh-constructions, and some theme and rheme-related grammatical phenomena. These observations offer further support for the study of syntax, semantics, and phonology interface and the earlier analysis of English information structure.

• Language and Information
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• v.11 no.1
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• pp.25-38
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• 2007

So-called multiple nominative constructions (MNCs) in Korean are quite theoretically as well as computationally puzzling. This paper shows that a grammar allowing the interaction of declarative constraints on types of signs - in particular, constructions (phrases and clauses)-can provide a robust and efficient way of encoding generalizations for two different MNCs. The feasibility of the grammar developed has been checked with its implementation into the LKB (Linguistic Knowledge Building) system.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.37-46
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• 2019

The purpose of this study is to explore the effects of the use of artificial intelligence chatbots on improving Korean college students' English grammar skills. 70 undergraduate students participated in the present study. They were taking a General English class offered by a university in Korea. There were two groups in this study. Participants in the chatbot group consisted of 36 students while those in the human group were 34. Over 16 weeks, the chatbot group engaged in ten chat sessions with a chatbot while the human group had a chat with a human chat partner. Both pre- and post-tests were performed to examine changes in the participants' grammar skills over time. To compare the improvement between the two groups, an independent t-test was then run. Main findings are as follows: First, participants in both groups significantly improved their English grammar skills, indicating the beneficial effects of engaging in chat. Also, there was a statistically significant difference in the improvement between the chatbot and human groups, indicating the superior effects of the chatbot use. This study confirmed the improved grammar skills by the participants in the chatbot group, comparison with those in the human group. Based on these findings, suggestions for the future chatbot study are discussed.

• Journal of Biomedical Engineering Research
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• v.12 no.4
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• pp.267-276
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• 1991

This paper describes syntactic pattern recognition algorithm for pattern recognition and diagnostic parameter extraction of ECG signal. ECG signal which is represented linguistic string is evaluated by pattern grammar and its interpreter-LALR(1) parser for pattern recognition. The proposed pattern grammar performs syntactic analysis and semantic evaluation simultaneously. The performance of proposed algorithm has been evaluated using CSE database.

• Lingua Humanitatis
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• v.7
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• pp.291-309
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• 2005

It hasn't been long time since English language was introduced in Korea. At the end of the 18th century the importance of the way of using English properly started to be recognized as Chosun (former country in Korean peninsula) began to conclude a treaty with foreign countries. A lot of Koreans could learn the western culture by the acquired knowledge of English. One of the main factors opening the secluded nation to the world was the member of missionary from outside of Korea. As the number of missionaries increased those who already came to Korea found the necessity of wiring a sort of guidebook of Korean language for the newly dispatched missionaries. The book $\ulcorner$Korean English Grammar$\lrcorner$(written by Horace Grant Underwood in 1890), was the first one that linguistically compared the part of speech and the clausal structures of Korean and English. The revised one of the same book was written by the son, Horace Horton Underwood, in 1914. The revised one newly included the phonetic aspect of Korean language. In this paper the phonetic part of the book will be considered carefully in order to find how recent phonetic methodology has been applied to account for the Korean phonetic features.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.4
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• pp.958-963
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• 2008

Korean language has different structural properties which are controlled by semantic constraints of verbs. Also, most of Korean sentences are complex sentences which consisted of main clause and embedded clause. Therefore it is difficult to describe appropriate syntactic grammar or constraint for the Korean language and the Korean parsing causes various syntactic ambiguities. In this paper, we suggest how to describe CFG-based grammar using sentence patterns as syntactic constraint and solve syntactic ambiguities. To solve this, we classified 44 sentence patterns including complex sentences which have subordinate clause in Korean sentences and used it to reduce syntactic ambiguity. However, it is difficult to solve every syntactic ambiguity using the information of sentence patterns. So, we used semantic markers with semantic constraint. Semantic markers can be used to solve ambiguity by auxiliary particle or comitative case particle.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.53-61
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• 2022

The purpose of this study was to test whether or not the AI chatbot is effective in acquiring target grammar for Korean EFL college students: prepositions and articles. A quasi-experiment was conducted with 46 first-year students taking part in a required English course. They were randomly divided into two groups: the experimental and control groups (23 students for each, respectively). The experimental group was engaged in six chat sessions with a chatbot over 6 weeks. A pretest and a posttest were used to examine the effectiveness of the chatbot by comparing any changes made in error frequencies of the target grammar in participants' English compositions. The results show that after a conversation with the chatbot, the experimental group significantly reduced the mean of omission errors in both prepositions and articles. To have a great effect in other error categories, chatbot feedback needs to be improved to reduce short responses or inaccurate utterances of students and induce them to actively participate in the conversation.