Language independent transliteration system using phrase based SMT approach on substrings

Abstract

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.