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Using Word Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval
2016
Journal of Computacion y Sistemas
Cross-Language Information Retrieval (CLIR) has become an important problem to solve in the recent years due to the growth of content in multiple languages in the Web. One of the standard methods is to use query translation from source to target language. In this paper, we propose an approach based on word embeddings, a method that captures contextual clues for a particular word in the source language and gives those words as translations that occur in a similar context in the target language.
doi:10.13053/cys-20-3-2462
fatcat:zs44l332ivd77gglzixrnde3ay