Bilingual Lexicon Extraction via Pivot Language and Word Alignment Tool
Hong-Seok Kwon, Hyeong-Won Seo, Jae‐Hoon Kim · 2013
This paper presents a simple and effective method for automatic bilingual lexicon extrac-tion from less-known language pairs. To do this, we bring in a bridge language named the pivot language and adopt information retrieval techniques combined with natural language processing techniques. Moreover, we use a freely available word aligner: Anymalign (Lardilleux et al., 2011) for constructing con-text vectors. Unlike the previous works, we obtain context vectors via a pivot language. Therefore, we do not require to translate con-text vectors by using a seed dictionary and im-prove the accuracy of low frequency word alignments that is weakness of statistical mod-el by using Anymalign. In this paper, experi-ments have been conducted on two different language pairs that are bi-directional Korean-Spanish and Korean-French, respectively. The experimental results have demonstrated that our method for high-frequency words shows at least 76.3 and up to 87.2 % and for the low-frequency words at least 43.3 % and up to 48.9% within the top 20 ranking candidates, respec-tively. 1