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    <abstract>Similar to phrase-based machine translation, hierarchical systems produce a large proportion of phrases, most of which are supposedly junk and useless for the actual translation. For the hierarchical case, however, the amount of extracted rules is an order of magnitude bigger. In this paper, we investigate several soft constraints in the extraction of hierarchical phrases and whether these help as additional scores in the decoding to prune unneeded phrases. We show the methods that help best.</abstract>
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%0 Conference Proceedings
%T Analysing soft syntax features and heuristics for hierarchical phrase based machine translation.
%A Vilar, David
%A Stein, Daniel
%A Ney, Hermann
%S Proceedings of the 5th International Workshop on Spoken Language Translation: Papers
%D 2008
%8 oct 20 21
%C Waikiki, Hawaii
%F vilar-etal-2008-analysing
%X Similar to phrase-based machine translation, hierarchical systems produce a large proportion of phrases, most of which are supposedly junk and useless for the actual translation. For the hierarchical case, however, the amount of extracted rules is an order of magnitude bigger. In this paper, we investigate several soft constraints in the extraction of hierarchical phrases and whether these help as additional scores in the decoding to prune unneeded phrases. We show the methods that help best.
%U https://aclanthology.org/2008.iwslt-papers.7
%P 190-197

Markdown (Informal)

[Analysing soft syntax features and heuristics for hierarchical phrase based machine translation.](https://aclanthology.org/2008.iwslt-papers.7) (Vilar et al., IWSLT 2008)

• Analysing soft syntax features and heuristics for hierarchical phrase based machine translation. (Vilar et al., IWSLT 2008)

ACL

• David Vilar, Daniel Stein, and Hermann Ney. 2008. Analysing soft syntax features and heuristics for hierarchical phrase based machine translation.. In Proceedings of the 5th International Workshop on Spoken Language Translation: Papers, pages 190–197, Waikiki, Hawaii.