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        <title>Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering</title>
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        <namePart type="given">Katsuhito</namePart>
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        <namePart type="given">Masaaki</namePart>
        <namePart type="family">Nagata</namePart>
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    <name type="personal">
        <namePart type="given">Shinsuke</namePart>
        <namePart type="family">Mori</namePart>
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    <name type="personal">
        <namePart type="given">Tatsuya</namePart>
        <namePart type="family">Kawahara</namePart>
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            <namePart type="family">Al-Onaizan</namePart>
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            <namePart type="given">Michel</namePart>
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    <abstract>This paper presents a Japanese-to-English statistical machine translation system specialized for patent translation. Patents are practically useful technical documents, but their translation needs different efforts from general-purpose translation. There are two important problems in the Japanese-to-English patent translation: long distance reordering and lexical translation of many domain-specific terms. We integrated novel lexical translation of domain-specific terms with a syntax-based post-ordering framework that divides the machine translation problem into lexical translation and reordering explicitly for efficient syntax-based translation. The proposed lexical translation consists of a domain-adapted word segmentation and an unknown word transliteration. Experimental results show our system achieves better translation accuracy in BLEU and TER compared to the baseline methods.</abstract>
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%0 Conference Proceedings
%T Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering
%A Sudoh, Katsuhito
%A Nagata, Masaaki
%A Mori, Shinsuke
%A Kawahara, Tatsuya
%Y Al-Onaizan, Yaser
%Y Simard, Michel
%S Proceedings of the 11th Conference of the Association for Machine Translation in the Americas: MT Researchers Track
%D 2014
%8 oct 22 26
%I Association for Machine Translation in the Americas
%C Vancouver, Canada
%F sudoh-etal-2014-japanese
%X This paper presents a Japanese-to-English statistical machine translation system specialized for patent translation. Patents are practically useful technical documents, but their translation needs different efforts from general-purpose translation. There are two important problems in the Japanese-to-English patent translation: long distance reordering and lexical translation of many domain-specific terms. We integrated novel lexical translation of domain-specific terms with a syntax-based post-ordering framework that divides the machine translation problem into lexical translation and reordering explicitly for efficient syntax-based translation. The proposed lexical translation consists of a domain-adapted word segmentation and an unknown word transliteration. Experimental results show our system achieves better translation accuracy in BLEU and TER compared to the baseline methods.
%U https://aclanthology.org/2014.amta-researchers.18
%P 234-248

Markdown (Informal)

[Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering](https://aclanthology.org/2014.amta-researchers.18) (Sudoh et al., AMTA 2014)

• Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering (Sudoh et al., AMTA 2014)

ACL

• Katsuhito Sudoh, Masaaki Nagata, Shinsuke Mori, and Tatsuya Kawahara. 2014. Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering. In Proceedings of the 11th Conference of the Association for Machine Translation in the Americas: MT Researchers Track, pages 234–248, Vancouver, Canada. Association for Machine Translation in the Americas.