@inproceedings{chen-etal-2011-semantic,
title = "Semantic smoothing and fabrication of phrase pairs for {SMT}",
author = "Chen, Boxing and
Kuhn, Roland and
Foster, George",
editor = {Federico, Marcello and
Hwang, Mei-Yuh and
R{\"o}dder, Margit and
St{\"u}ker, Sebastian},
booktitle = "Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign",
month = dec # " 8-9",
year = "2011",
address = "San Francisco, California",
url = "https://aclanthology.org/2011.iwslt-evaluation.19/",
pages = "144--150",
abstract = "In statistical machine translation systems, phrases with similar meanings often have similar but not identical distributions of translations. This paper proposes a new soft clustering method to smooth the conditional translation probabilities for a given phrase with those of semantically similar phrases. We call this semantic smoothing (SS). Moreover, we fabricate new phrase pairs that were not observed in training data, but which may be used for decoding. In learning curve experiments against a strong baseline, we obtain a consistent pattern of modest improvement from semantic smoothing, and further modest improvement from phrase pair fabrication."
}
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%0 Conference Proceedings
%T Semantic smoothing and fabrication of phrase pairs for SMT
%A Chen, Boxing
%A Kuhn, Roland
%A Foster, George
%Y Federico, Marcello
%Y Hwang, Mei-Yuh
%Y Rödder, Margit
%Y Stüker, Sebastian
%S Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign
%D 2011
%8 dec 8 9
%C San Francisco, California
%F chen-etal-2011-semantic
%X In statistical machine translation systems, phrases with similar meanings often have similar but not identical distributions of translations. This paper proposes a new soft clustering method to smooth the conditional translation probabilities for a given phrase with those of semantically similar phrases. We call this semantic smoothing (SS). Moreover, we fabricate new phrase pairs that were not observed in training data, but which may be used for decoding. In learning curve experiments against a strong baseline, we obtain a consistent pattern of modest improvement from semantic smoothing, and further modest improvement from phrase pair fabrication.
%U https://aclanthology.org/2011.iwslt-evaluation.19/
%P 144-150
Markdown (Informal)
[Semantic smoothing and fabrication of phrase pairs for SMT](https://aclanthology.org/2011.iwslt-evaluation.19/) (Chen et al., IWSLT 2011)
ACL