Extracting Bilingual Lexica from Comparable Corpora Using Self-Organizing Maps

Abstract

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.