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논문 기본 정보

자료유형
학술저널
저자정보
Hyeong-Won Seo (Korea Maritime and Ocean University) Jae-Hoon Kim (Korea Maritime and Ocean University)
저널정보
한국마린엔지니어링학회 Journal of Advanced Marine Engineering and Technology (JAMET) 한국마린엔지니어링학회지 제39권 제2호
발행연도
2015.2
수록면
172 - 178 (7page)

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초록· 키워드

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Constructing a bilingual multi-word lexicon is confronted with many difficulties such as an absence of a commonly accepted gold-standard dataset. Besides, in fact, there is no everybody’s definition of what a multi-word unit is. In considering these problems, this paper evaluates and analyzes the context vector approach which is one of a novel alignment method of constructing bilingual lexicons from parallel corpora, by comparing with one of general methods. The approach builds context vectors for both source and target single-word units from two parallel corpora. To adapt the approach to multi-word units, we identify all multi-word candidates (namely noun phrases in this work) first, and then concatenate them into single-word units. As a result, therefore, we can use the context vector approach to satisfy our need for multi-word units. In our experimental results, the context vector approach has shown stronger performance over the other approach. The contribution of the paper is analyzing the various types of errors for the experimental results. For the future works, we will study the similarity measure that not only covers a multi-word unit itself but also covers its constituents.

목차

Abstract
1. Introduction
2. Related Works
3. Experiments
4. Error Analysis
5. Conclusions
References

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UCI(KEPA) : I410-ECN-0101-2016-559-001277500