• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2002년도 Language, Information, and Computation Proceedings of The 16th Pacific Asia Conference
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• pp.227-236
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• 2002

Japanese coordinate noun phrases by the particle TO are often ambiguous on whether it means two parallel propositions (and), or a mutual case relation (with or against), as deep case structure. It was a hard problem to determine it, though they are widely used. We propose a method of solving the ambiguity by analyzing mutualness of verbs and adjectives. The mutualness is determined by three features of each verb or adjective. The first feature Indicates permission of mutual expression in the subject, and the second In the object. The last shows if a verb is voluntary. Using this method we design a parsing mechanism, where matching of features is represented as neutralization between predicate arguments.

• 대한음성학회지:말소리
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• 제46호
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• pp.159-174
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• 2003

K-SEC (Korean-Spoken English Corpus) is a kind of speech database that is being under construction by the authors of this paper This article discusses the needs of the K-SEC from various academic disciplines and industrial circles, and it introduces the characteristics of the K-SEC design, its catalogues and contents of the recorded database, exemplifying what are being considered from both Korean and English languages' phonetics and phonologies. The K-SEC can be marked as a beginning of a parallel speech corpus, and it is suggested that a similar corpus should be enlarged for the future advancements of the experimental phonetics and the speech information technology.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2004년도 춘계 학술대회 발표논문집
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• pp.209-213
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• 2004

The aim of this paper is to analyze vowel in voice imitation, and to find the invariable phonetic features of the speaker. In this paper we examined the formants of vowel /a, u, i/. The results of the present are as follows : (1) Speakers change their vocal tract cavity features. (2) F1 changes easily compared to $F2{\sim}F3{\sim}F4$. (3) F3-F2 appears to be constituent for a speakers identification in vowel /a/ and F4-F2 in vowel /i/.

• 전자공학회논문지B
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• 제31B권3호
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• pp.123-131
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• 1994

This paper describes on the analysis of morphemes and it's synthesis being constituted of Korean word phrases. To analyze morphemes, we propose the introduction of "morph" for morpheme features in lexicon and the usage of chart data structures. it controls over the generation of unnecessary morpheme, and extracts every possible morpheme unit in a word phrase which minimized lexicon investigation by using heuristic information. Moreover, to synthesize morphemes, it is composed of every possible analyzed morphemes in word phrases to take advantage of speech and union information which can be obtained for program. Therefore, the systhesis of analyzed morphemes were designed to aid a syntactic analysis next step of natural language processing. This system for analyzing and systhesizing morpheme was to generate a word phrase by unifying syntactic and semantic features of analyzed morphemes in lexicon, and then established by C language of the personal computer.

• International Journal of Contents
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• 제13권3호
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• pp.38-42
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• 2017

Documents of the last few decades typically include more than one kind of language, so linguistic classification of each word is essential, especially in terms of English and Korean in handwritten documents. Traditional methods mostly use conventional features of structural or stroke features, but sometimes they fail to identify many characteristics of words because of complexity introduced by handwriting. Therefore, traditional methods lead to a considerably more-complicated task and naturally lead to possibly poor results. In this study, convolutional neural network (CNN) is used for classification of English and Korean handwritten words in text documents. Experimental results reveal that the proposed method works effectively compared to previous methods.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2007년도 정기학술대회
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• pp.415-421
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• 2007

This paper proposes a convolution tree kernel-based approach for relation extraction where the parse tree is expanded with entity features such as entity type, subtype, and mention level etc. Our study indicates that not only can our method effectively capture both syntactic structure and entity information of relation instances, but also can avoid the difficulty with tuning the parameters in composite kernels. We also demonstrate that predicate verb information can be used to further improve the performance, though its enhancement is limited. Evaluation on the ACE2004 benchmark corpus shows that our system slightly outperforms both the previous best-reported feature-based and kernel-based systems.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2006년도 제18회 한글 및 한국어 정보처리 학술대회
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• pp.213-219
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• 2006

본 논문에서는 스팸메일에 나타나는 스팸성 자질과 URL 자질을 이용한 최대엔트로피모델 기반 스팸 필터 시스템을 제안한다. 스팸성 자질은 스패머들이 스팸메일에 인위적으로 넣는 강조 패턴이나 필터 시스템을 통과하기 위해 비정상적으로 변형시킨 단어들을 말한다. 스팸성 자질 외에 반복적으로 나타나는 URL과 비정상적인 Ink도 자질로 사용하였다. 메일 수신자에게 추가적인 정보 제공을 목적으로 하이퍼링크로 연결시키거나 메일에 직접 타이핑한 URL 중 필터 시스템을 피하기 위해 유효하지 알은 비정상적인 URL들이 스팸 메일을 걸러내는데 도움을 줄 수 있기 때문이다. 또한 스팸성 자질과 URL을 각각 적용한 두 분류기를 통합하였다. 분류기의 통합은 각 분류기에 이용된 자질을 독립적으로 사용할 수 있다는 장점을 가지고 있다. 실험 결과를 통해 스팸성 자질과 URL을 이용함으로써 스팸 필터 시스템의 성능을 향상시킬 수 있음을 확인할 수 있었다.

• International Journal of Contents
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• 제1권2호
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• pp.39-43
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• 2005

In this paper, we describe a generation mechanism of semantic-based queries for high accuracy information retrieval and question answering. It is difficult to offer the correct retrieval result because general information retrieval systems do not analyze the semantic of user's natural language question. We analyze user's question semantically and extract semantic features, and we .generate semantic-based queries using them. These queries are generated using the se-mantic-based question analysis grammar and the query generation rule. They are represented as semantic features and grammatical morphemes that consider semantic and syntactic structure of user's questions. We evaluated our mechanism using 100 questions whose answer type is a person in the TREC-9 corpus and Web. There was a 0.28 improvement in the precision at 10 documents when semantic-based queries were used for information retrieval.

• 한국문헌정보학회지
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• 제52권3호
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• pp.289-334
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• 2018

웹상에서 영어 이외의 언어들로 이루어진 정보가 빠르게 증가하고 있지만, 여전히 영어 정보가 가장 큰 비중을 차지함에 따라 공통어(lingua franca)로서의 지배적인 영향을 미치고 있다. 따라서 영어가 비모어인 이용자들이 보다 다양하고 풍부한 정보를 획득할 수 있도록 하기 위해서는 비영어권 화자의 모어 정보검색행위와 영어 정보검색행위에 대한 조사를 통해 주요 특징 및 차이점을 살펴볼 필요가 있다. 본 연구에서는 국내 한 사립대학의 대학생 24명을 대상으로 동시적 사고구술 기법을 적용한 정보검색 실험을 실시해 한글 정보검색행위 및 영어 정보검색행위와 인지과정을 조사하였다. 관찰데이터 및 사고구술데이터의 정성적 데이터를 기반으로, 검색 언어에 따른 웹 정보검색행위의 양상 차이에 대한 빈도분석을 실시하였다. 연구 결과, 한글 검색에서 능동적이고 적극적이며 독립적인 특성의 양상이, 영어 검색에서 수동적이고 소극적이며 의존적인 특성의 양상이 나타났다. 한글 검색에서는 이용자, 태스크, 시스템 등 다양한 출처에서 용어를 추출 조합한 검색어 구성, 여러 수준에서의 검색범위 조정, 검색엔진 검색결과페이지 내 탐색대상 아이템의 선택과 관련한 원활한 필터링, 다수 아이템의 탐색 및 비교, 웹 페이지의 전체 내용 브라우징 등이 주요 특징으로 확인되었다. 반면, 영어 검색에서는 주로 태스크 추출 용어 중심 검색어 구성, 제한된 검색범위 선호, 카테고리나 링크 등 아이템과 아이템 간 관련성에 의존한 탐색 대상 아이템 선택, 동일 아이템의 반복적 탐색, 웹 페이지의 일부 내용 브라우징, 그리고 사전 및 번역기와 같은 언어지원도구의 빈번한 사용 등이 두드러진 특징으로 파악되었다.

• 한국어교육
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• 제28권2호
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• pp.155-184
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• 2017

As the media changes, communication patterns in modern society have been changed as well. This change in the media environment has also transformed the required literacy and it is time to accept this new literacy in Korean language education. At this point, this paper inspected the perception of media literacy classes of 73 teachers currently in the field of Korean language education. The results show that most teachers are aware of the media literacy which has changed socially, and show strong agreement that this changed literacy should be applied in the field of Korean language education. However, today's media literacy education is passive. Although teachers generally understand the dynamic features of newly emerging digital media, it remains as a tool in class. The teachers pointed out that device problems such as device environment and the spread of media are one of the many reasons for such passive usage. However, the more fundamental problem is that the new communication environment has not been reflected in the curriculum actively. Teachers thought that media literacy has a close relationship with Korean proficiency. Also, they saw that this kind of media literacy will be required for Korean learners in the future with more importance. Based on the results of the study, this paper argues that Korean language education needs to accept and reflect the changes of media in the curriculum.