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        <title>Compact Rule Extraction for Hierarchical Phrase-based Translation</title>
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    <abstract>This paper introduces two novel approaches for extracting compact grammars for hierarchical phrase-based translation. The first is a combinatorial optimization approach and the second is a Bayesian model over Hiero grammars using Variational Bayes for inference. In contrast to the conventional Hiero (Chiang, 2007) rule extraction algorithm , our methods extract compact models reducing model size by 17.8% to 57.6% without impacting translation quality across several language pairs. The Bayesian model is particularly effective for resource-poor languages with evidence from Korean-English translation. To our knowledge, this is the first alternative to Hiero-style rule extraction that finds a more compact synchronous grammar without hurting translation performance.</abstract>
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%0 Conference Proceedings
%T Compact Rule Extraction for Hierarchical Phrase-based Translation
%A Sankaran, Baskaran
%A Haffari, Gholamreza
%A Sarkar, Anoop
%S Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers
%D 2012
%8 oct 28 nov 1
%I Association for Machine Translation in the Americas
%C San Diego, California, USA
%F sankaran-etal-2012-compact
%X This paper introduces two novel approaches for extracting compact grammars for hierarchical phrase-based translation. The first is a combinatorial optimization approach and the second is a Bayesian model over Hiero grammars using Variational Bayes for inference. In contrast to the conventional Hiero (Chiang, 2007) rule extraction algorithm , our methods extract compact models reducing model size by 17.8% to 57.6% without impacting translation quality across several language pairs. The Bayesian model is particularly effective for resource-poor languages with evidence from Korean-English translation. To our knowledge, this is the first alternative to Hiero-style rule extraction that finds a more compact synchronous grammar without hurting translation performance.
%U https://aclanthology.org/2012.amta-papers.16

Markdown (Informal)

[Compact Rule Extraction for Hierarchical Phrase-based Translation](https://aclanthology.org/2012.amta-papers.16) (Sankaran et al., AMTA 2012)

• Compact Rule Extraction for Hierarchical Phrase-based Translation (Sankaran et al., AMTA 2012)

ACL

• Baskaran Sankaran, Gholamreza Haffari, and Anoop Sarkar. 2012. Compact Rule Extraction for Hierarchical Phrase-based Translation. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers, San Diego, California, USA. Association for Machine Translation in the Americas.