A Novel Method for Cross-Language Retrieval of Chunks Using Monolingual and Bilingual Corpora

Information retrieval (IR) is a crucial area of natural language processing (NLP). One of the fundamental issues in bilingual retrieving of information in search engines seems to be the way and the extent users call for phrases and chunks. The main problem arises when the existing bilingual dictionaries are not able to meet the users’ actual needs for translating such phrases and chunks into an alternative language and the results often are not reliable. In this project a heuristic method for extracting the correct equivalents of source language chunks using monolingual and bilingual linguistic corpora as well as text classification algorithms is to be introduced. Experimental results revealed that our method gained the accuracy rate of 86.13% which seems very encouraging.

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