Extracting Bilingual Lexica from Comparable Corpora Using Self-Organizing Maps
Hyeong-Won Seo, Min-Ah Cheon, Jae‐Hoon Kim · 2015
This paper aims to present a novel method of extracting bilingual lexica from comparable corpora using one of the artificial neural network algorithms, self-organizing maps (SOMs).The proposed method is very useful when a seed dictionary for translating source words into target words is insufficient.Our experiments have shown stunning results when contrasted with one of the other approaches.For future work, we need to fine-tune various parameters to achieve stronger performances.Also we should investigate how to construct good synonym vectors.