International Workshop on Spoken Language Translation (IWSLT) 2008
Honolulu, Hawaii, USA
Large amounts of training data are essential for training statistical machine translations systems. In this paper we show how training data can be expanded by paraphrasing one side. The new data is made by parsing then generating using a precise HPSG based grammar, which gives sentences with the same meaning, but minor variations in lexical choice and word order. In experiments with Japanese and English, we showed consistent gains on the Tanaka Corpus with less consistent improvement on the IWSLT 2005 evaluation data.
Full Paper Presentation (pdf)
Bibliographic reference. Bond, Francis / Nichols, Eric / Appling, Darren Scott / Paul, Michael (2008): "Improving statistical machine translation by paraphrasing the training data", In IWSLT-2008, 150-157.