학술논문
중의성 문제 해결을 위한 데이터 및 모델 개발 기반 인공지능 방법론 연구
이용수 41
- 영문명
- Data and AI based Model Development to Solve the Ambiguity Problem: focusing on Bulgarian and Korean application cases
- 발행기관
- 한국슬라브어학회
- 저자명
- 채유정
- 간행물 정보
- 『슬라브어 연구』제27권 제2호, 123~139쪽, 전체 17쪽
- 주제분류
- 인문학 > 기타인문학
- 파일형태
- 발행일자
- 2022.10.31
4,840원
구매일시로부터 72시간 이내에 다운로드 가능합니다.
이 학술논문 정보는 (주)교보문고와 각 발행기관 사이에 저작물 이용 계약이 체결된 것으로, 교보문고를 통해 제공되고 있습니다.
국문 초록
영문 초록
In this paper, I briefly review the examples of ambiguity problem in Korean and Bulgarian, and examine methods for solving the ambiguity problem, focusing on previous studies. Resolving the ambiguity of the word stage has progressed to some extent through the dictionary work (off-line work) so far, and it is also true that the importance of understanding the meaning of the ambiguity of a word alone in the actual dialogue act process is relatively low. Therefore, solving the problem of ambiguity in the units of phrases, sentences, and texts is the central part of this thesis. Since there are quantitative and temporal limitations in the database that researchers collect and create, the method of computerizing this and the method of solving(processing) when a phrase or sentence to be identified appears in the main study from the point of view of artificial intelligence processing. The first step in the research for resolving ambiguity in Bulgarian is to continuously discover ambiguous expressions that appear in words, vocabulary, sentences, and texts, and create a data base. Theoretical research on such matters should proceed. Collection of examples (DB) at individual stages can be continuously performed off-line and on-line. Off-line, it will be individual dictionaries such as homonyms and Bulgarian dictionary, and on-line, it will be a web crawling collection of data from Bulgarian Wikipedia, Wordnet, and online portals. WordNet, an English-centered thesaurus, is not just a digitized dictionary, but is organized into a Synset in which nouns, verbs, adjectives, and adverbs are a set of analogous words. WordNet also provides antonyms, metonymy, pertainymy, homonymy, and entailment. It can also be an efficient and good way to secure additional data in Bulgarian by using an artificial intelligence automatic translation technique for WordNet, which is mainly provided in English. In particular, considering that the linguistic characteristics of Bulgarian are syntactically similar to English and the role of function words including prepositions is strong due to the analytic language structure, this method is very meaningful. To add one more thing, this method is very meaningful because English is the language resource that currently holds the most ambiguity data in the world. This paper is a theoretical focus on how to solve the ambiguity problem through data and model development. Accuracy analysis and parameter adjustment through actual data processing remain as future tasks to be attempted by introducing an engineering methodology.
목차
1. 서론
2. 한국어와 불가리아어에 나타나는 중의성의 양상
3. 중의성 문제 해결을 위한 방법론
4. 결론: 불가리아어 중의성 해결을 위한 방법론 제언
참고문헌
해당간행물 수록 논문
- 슬라브어 연구 제27권 제2호 목차
- Вербализация концепта «Труд» у разных народов: на материале русских, английских и корейских пословиц
- 체츠냐의 민족-언어상황 연구
- 러시아어 외래어 표기법의 새로운 접근
- Jazyk písomností Slovákov na dolnej zemi: na príklade slovenského vojvodinského evanjelického cirkevného zboru a. v. Kysáč v rokoch 1773 – 1918
- 중의성 문제 해결을 위한 데이터 및 모델 개발 기반 인공지능 방법론 연구
- Нормативни статус прилога гдје, куда, камо и замјенице који
- 한국어와 러시아어의 감사 화행 대조 연구
- Temporal and aspectual characteristics of verba sentiendi et cogitandi in Czech
- 러시아어 전이음 /j/와 모음 /i/의 음향적 특성 연구
참고문헌
교보eBook 첫 방문을 환영 합니다!
신규가입 혜택 지급이 완료 되었습니다.
바로 사용 가능한 교보e캐시 1,000원 (유효기간 7일)
지금 바로 교보eBook의 다양한 콘텐츠를 이용해 보세요!