The JHU Machine Translation Systems for WMT 2016
In: Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers, 2016, S. 272-280
Online
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Zugriff:
This paper describes the submission of Johns Hopkins University for the shared translation task of ACL 2016 First Conference on Machine Translation (WMT 2016). We set up phrase-based, hierarchical phrase-based and syntax-based systems for all 12 language pairs of this year’s evaluation campaign. Novel research directions we investigated include: neural probabilistic language models, bilingual neural network language models, morphological segmentation, and the attention based neural machine translation model as reranking feature.
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The JHU Machine Translation Systems for WMT 2016
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| Autor/in / Beteiligte Person: | Duh, Kevin ; Khayrallah, Huda ; Koehn, Philipp ; Post, Matt ; Ding, Shuoyang |
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| Zeitschrift: | Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers, 2016, S. 272-280 |
| Veröffentlichung: | Association for Computational Linguistics, 2016 |
| Medientyp: | unknown |
| DOI: | 10.18653/v1/w16-2310 |
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