Paper: Paraphrase Lattice for Statistical Machine Translation

ACL ID P10-2001
Title Paraphrase Lattice for Statistical Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2010
Authors

Lattice decoding in statistical machine translation (SMT) is useful in speech translation and in the translation of Ger- man because it can handle input ambigu- ities such as speech recognition ambigui- ties and German word segmentation ambi- guities. We show that lattice decoding is also useful for handling input variations. Given an input sentence, we build a lattice which represents paraphrases of the input sentence. We call this a paraphrase lattice. Then, we give the paraphrase lattice as an input to the lattice decoder. The decoder selects the best path for decoding. Us- ing these paraphrase lattices as inputs, we obtained significant gains in BLEU scores for IWSLT and Europarl datasets.