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        <title>Extending the Hierarchical Phrase Based Model with Maximum Entropy Based BTG</title>
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        <namePart type="given">Zhongjun</namePart>
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        <dateIssued>2010-oct 31-nov 4</dateIssued>
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    <abstract>In the hierarchical phrase based (HPB) translation model, in addition to hierarchical phrase pairs extracted from bi-text, glue rules are used to perform serial combination of phrases. However, this basic method for combining phrases is not sufficient for phrase reordering. In this paper, we extend the HPB model with maximum entropy based bracketing transduction grammar (BTG), which provides content-dependent combination of neighboring phrases in two ways: serial or inverse. Experimental results show that the extended HPB system achieves absolute improvements of 0.9∼1.8 BLEU points over the baseline for large-scale translation tasks.</abstract>
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%0 Conference Proceedings
%T Extending the Hierarchical Phrase Based Model with Maximum Entropy Based BTG
%A He, Zhongjun
%A Meng, Yao
%A Yu, Hao
%S Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers
%D 2010
%8 oct 31 nov 4
%I Association for Machine Translation in the Americas
%C Denver, Colorado, USA
%F he-etal-2010-extending
%X In the hierarchical phrase based (HPB) translation model, in addition to hierarchical phrase pairs extracted from bi-text, glue rules are used to perform serial combination of phrases. However, this basic method for combining phrases is not sufficient for phrase reordering. In this paper, we extend the HPB model with maximum entropy based bracketing transduction grammar (BTG), which provides content-dependent combination of neighboring phrases in two ways: serial or inverse. Experimental results show that the extended HPB system achieves absolute improvements of 0.9∼1.8 BLEU points over the baseline for large-scale translation tasks.
%U https://aclanthology.org/2010.amta-papers.25

Markdown (Informal)

[Extending the Hierarchical Phrase Based Model with Maximum Entropy Based BTG](https://aclanthology.org/2010.amta-papers.25) (He et al., AMTA 2010)

• Extending the Hierarchical Phrase Based Model with Maximum Entropy Based BTG (He et al., AMTA 2010)

ACL

• Zhongjun He, Yao Meng, and Hao Yu. 2010. Extending the Hierarchical Phrase Based Model with Maximum Entropy Based BTG. In Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers, Denver, Colorado, USA. Association for Machine Translation in the Americas.