Synset Assignment for Bi-lingual Dictionary with Limited Resource

This paper explores an automatic WordNet synset assignment to the bi-lingual dictionaries of languages having limited lexicon information. Generally, a term in a bilingual dictionary is provided with very limited information such as part-of-speech, a set of synonyms, and a set of English equivalents. This type of dictionary is comparatively reliable and can be found in an electronic form from various publishers. In this paper, we propose an algorithm for applying a set of criteria to assign a synset with an appropriate degree of confidence to the existing bi-lingual dictionary. We show the efficiency in nominating the synset candidate by using the most common lexical information. The algorithm is evaluated against the implementation of ThaiEnglish, Indonesian-English, and Mongolian-English bi-lingual dictionaries. The experiment also shows the effectiveness of using the same type of dictionary from different sources.