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        <title>Statistical machine translation using large J/E parallel corpus and long phrase tables</title>
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    <name type="personal">
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            <title>Proceedings of the Fourth International Workshop on Spoken Language Translation</title>
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    <abstract>Our statistical machine translation system that uses large Japanese-English parallel sentences and long phrase tables is described. We collected 698,973 Japanese-English parallel sentences, and we used long phrase tables. Also, we utilized general tools for statistical machine translation, such as ”Giza++”[1], ”moses”[2], and ”training-phrasemodel.perl”[3]. We used these data and these tools, We challenge the contest for IWSLT07. In which task was the result (0.4321 BLEU) obtained.</abstract>
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%0 Conference Proceedings
%T Statistical machine translation using large J/E parallel corpus and long phrase tables
%A Murakami, Jin’ichi
%A Tokuhisa, Masato
%A Ikehara, Satoru
%S Proceedings of the Fourth International Workshop on Spoken Language Translation
%D 2007
%8 oct 15 16
%C Trento, Italy
%F murakami-etal-2007-statistical
%X Our statistical machine translation system that uses large Japanese-English parallel sentences and long phrase tables is described. We collected 698,973 Japanese-English parallel sentences, and we used long phrase tables. Also, we utilized general tools for statistical machine translation, such as ”Giza++”[1], ”moses”[2], and ”training-phrasemodel.perl”[3]. We used these data and these tools, We challenge the contest for IWSLT07. In which task was the result (0.4321 BLEU) obtained.
%U https://aclanthology.org/2007.iwslt-1.23

Markdown (Informal)

[Statistical machine translation using large J/E parallel corpus and long phrase tables](https://aclanthology.org/2007.iwslt-1.23) (Murakami et al., IWSLT 2007)

• Statistical machine translation using large J/E parallel corpus and long phrase tables (Murakami et al., IWSLT 2007)

ACL

• Jin’ichi Murakami, Masato Tokuhisa, and Satoru Ikehara. 2007. Statistical machine translation using large J/E parallel corpus and long phrase tables. In Proceedings of the Fourth International Workshop on Spoken Language Translation, Trento, Italy.