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Improved Statistical Machine Translation Using Monolingual Paraphrases
Preslav Nakov
338 - 342
10.3233/978-1-58603-891-5-338
Frontiers in Artificial Intelligence and Applications
Volume 178: ECAI 2008
Abstract

We propose a novel monolingual sentence paraphrasing method for augmenting the training data for statistical machine translation systems “for free” – by creating it from data that is already available rather than having to create more aligned data. Starting with a syntactic tree, we recursively generate new sentence variants where noun compounds are paraphrased using suitable prepositions, and vice-versa – preposition-containing noun phrases are turned into noun compounds. The evaluation shows an improvement equivalent to 33%–50% of that of doubling the amount of training data.

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