Paraphrase Lattice for Statistical Machine Translation
Takashi Onishi, Masao Utiyama, Eiichiro Sumita · 2010
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. 1