Evaluating a Pivot-Based Approach for Bilingual Lexicon Extraction

A pivot-based approach for bilingual lexicon extraction is based on the similarity of context vectors represented by words in a pivot language like English. In this paper, in order to show validity and usability of the pivot-based approach, we evaluate the approach in company with two different meth...

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Published inComputational Intelligence and Neuroscience Vol. 2015; no. 2015; pp. 560 - 572
Main Authors Kim, Jae-Hoon, Seo, Hyeong-Won, Kwon, Hong-Seok
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Limiteds 01.01.2015
Hindawi Publishing Corporation
Hindawi Limited
Subjects
Bilingualism
Dictionaries
Estimates
Extraction
Humans
Information Storage and Retrieval
Intelligence
Language
Low frequencies
Machine translation
Mathematical analysis
Multilingualism
Natural Language Processing
Pivots
Public domain
Semantics
Similarity
Translating
Vectors (mathematics)
Vocabulary
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Summary:A pivot-based approach for bilingual lexicon extraction is based on the similarity of context vectors represented by words in a pivot language like English. In this paper, in order to show validity and usability of the pivot-based approach, we evaluate the approach in company with two different methods for estimating context vectors: one estimates them from two parallel corpora based on word association between source words (resp., target words) and pivot words and the other estimates them from two parallel corpora based on word alignment tools for statistical machine translation. Empirical results on two language pairs (e.g., Korean-Spanish and Korean-French) have shown that the pivot-based approach is very promising for resource-poor languages and this approach observes its validity and usability. Furthermore, for words with low frequency, our method is also well performed.
Bibliography:ObjectType-Article-1
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Academic Editor: Francesco Camastra
ISSN:1687-5265
1687-5273
DOI:10.1155/2015/434153