• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2002년도 제14회 한글 및 한국어 정보처리 학술대회
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• pp.92-97
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• 2002

의미기반 정보 검색, 자연어 질의 응답, 지식 자동 습득, 담화 처리 등 높은 수준의 자연언어처리 시스템에서 의미처리를 위한 대용량의 지식 베이스가 필요하다. 이러한 지식 베이스 중에서 가장 기본적인 것이 워드넷이다. 이러한 워드넷을 이용함으로써 여러 의미 사이의 의미 유사도를 구할 수 있고, 속성을 물려받을 수 있기 때문에 비슷한 속성을 가진 의미들을 한꺼번에 다루는 데 유용하다. 본 논문에서는 기본 어휘를 바탕으로 기존의 명사 워드넷과 단일어 사전을 이용하여 한국어 동사 워드넷을 구축하는 방법을 제시한다. 본 논문에서 1차 작업을 통하여 구축한 동사 워드넷에는 동사 1,757개에 대한 4,717개의 의미(중복을 포함하면 모두 5,235개의 의미)를 포함하고 있으며 특별히 의미가 많이 편중된 14개의 개념에 속한 571개의 의미를 53개의 세부 개념으로 재분류하여 최종적으로 모두 767개의 계층적 개념으로 구성된 동사 워드넷이 만들어 졌다.

• 비교문화연구
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• 제31권
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• pp.371-394
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• 2013

This study aims to know word forms and usages according to personal relationships of 'Kureru Kudasaru' by analyzing dialogues of female speakers. Novels of the Meiji period when there were attempts of a language revolution were mainly used for this study as well as novels of the Edo Period and the Taisho Period. Firstly, the number of examples according to gender differences in the novels was as follows. In case of 'Kureru', female speakers showed a high usage rate in the novels of the Edo period. 'Kureru' was mostly connected with female languages such as 'Naharu', 'Namasu', 'Nansu'. These expressions were not used in the novels of the Meiji Period and the Taisho Period. Although 'Okureru' and 'Okurenasaru' were used in the novels of the Meiji Period, the number of examples of 'Kureru' by female speakers was decreased in the novels of the Meiji Period and the Taisho Period. 'Kudasaru' was predominantly used by female speakers. Especially, female speakers used clearly to show vertical relationships in the novels of the Edo Period and"Doseishoseikatagi"of Meiji 10s. After"Ukigumo", the usage rate of female speakers was decreased but the usage rate of male speakers was increased. Gender differences became gradually smaller. Female speakers in the novels were increased from geisha and relatives such as wife, sister, mother and children to young women, teacher and student. Aspects of benefactive verbs' usages could be summarized as follows. Female speakers at licensed quarters used clearer and more typical expressions according to vertical relationships and gender differences in the novels of The Edo Period than the novels of The Meiji Period and the Taisho Period. In the novels of the Meiji Period, female speakers in a sophisticated social group used benefactive verbs to show strong respect and concern for the other person. In the novels of the Taisho Period, female speakers used benefactive verbs to show respect and concern for the other person according to their areas of outside activities. In the novels of the Meiji Period, female speakers used 'Okureru' when the other person was younger than them and was socially and psychologically close to them. Also, 'O~Nasaru' which was one of respect expressions was used by female speakers. Female speakers used it to older people in the Edo period but they also used it to younger people in the Meiji Period. Examples were not shown in the novels of the Taisho Period. Usages of 'Kureru' 'Kudasaru' according to vertical relationships were as follows. If 'a giver' was an older person, 'Kureru' with respect expressions 'Nasaru' 'Nansu' 'Namasu' was used more than 'Kudasaru' in the novels of the Edo Period. However, many examples of 'Kudasaru' were shown on the novels of the Meiji Period and the Taisho period. In the novels of the Meiji Period, 'Okureru' and 'Okurenasaru' which were expressions included in 'Kureru' were shown. Female speakers used them to older people who were socially and psychologically close to them like family. There were not many examples of 'a giver' and 'a receiver' around the same age. However, 'Kureru' and 'Okureru' were used in a younger group and 'Kudasaru' was used in an older group in the novels of the Meiji Period. If 'a giver' was an younger person, 'Kureru' was mainly used in the novels of the Edo period and "Doseishoseikatagi"in Meiji 10s. However, 'Kudasaru' was used many times in the novels of the latter Meiji Period and the Taisho Period.

• 한국정보통신학회논문지
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• 제21권2호
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• pp.423-428
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• 2017

인터넷과 스마트 기기의 사용량 증가로 인해 다양한 교육정보와 많은 양의 데이터가 생성되어 빠르게 확산되고 있다. 최근 이러닝 이용률이 증가하면서 발생하는 빅데이터를 활용하여 학습자들의 교육 성과와 교육 시스템의 효과성을 극대화 하는 것을 목표로 하는 교육 데이터 관련 연구 분야에 대한 관심이 높아지고 있으며 온라인에서 학습자들이 학습한 수많은 기록과 데이터들이 정보로 쌓이게 된다. 이에 본 논문에서는 이러닝 학습자들이 시스템에 남긴 수강 기록을 기반으로 학습자 현황에 대해 객관적으로 파악할 수 있도록 신경망 알고리즘인 Word2Vec을 적용하여 단어 간 유사도를 구하고 클러스터링 알고리즘을 이용하여 군집화 하였다. Word2vec을 이용하여 학습을 시키면 연관된 의미의 단어가 나타나게 되고 학습을 반복해 나가는 과정에서 점차 가까운 벡터를 지니게 된다. 또한 클러스터 알고리즘을 이용하여 명사, 동사, 형용사, 부사가 중심점에서 최소의 거리를 두고 같은 거리에 위치해 있음을 실험 검증하였다.