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Language independent transliteration system using phrase based SMT approach on substrings
2009
Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration - NEWS '09
unpublished
Everyday the newswire introduce events from all over the world, highlighting new names of persons, locations and organizations with different origins. These names appear as Out of Vocabulary (OOV) words for Machine translation, cross lingual information retrieval, and many other NLP applications. One way to deal with OOV words is to transliterate the unknown words, that is, to render them in the orthography of the second language. We introduce a statistical approach for transliteration only
doi:10.3115/1699705.1699734
fatcat:g3tmcs4qvrg3ho7aca4sag7gva