Distance-based Reordering in English to Hindi Statistical Machine Translation

Abstract

paper compares different reordering models on English to Hindi statistical machine translation system. The two Indo- European languages differ significantly in their word order preferences. While English follows SVO model, Hindi follows SOV model. Therefore both long distance and short distance reordering becomes important. The reordering models available in MOSES SMT are discussed and compared with a more novel approach called distance-based reordering. This new approach significantly improves the quality of English to Hindi translation, both in terms of BLEU score and subjective human evaluation..