Machine Translation with parfda, Moses, kenlm, nplm, and PRO

Ergun Bicici

doi:10.18653/v1/W19-5306

Machine Translation with parfda, Moses, kenlm, nplm, and PRO

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Abstract

We build parfda Moses statistical machine translation (SMT) models for most language pairs in the news translation task. We experiment with a hybrid approach using neural language models integrated into Moses. We obtain the constrained data statistics on the machine translation task, the coverage of the test sets, and the upper bounds on the translation results. We also contribute a new testsuite for the German-English language pair and a new automated key phrase extraction technique for the evaluation of the testsuite translations.

Anthology ID:: W19-5306
Original:: W19-5306v1
Version 2:: W19-5306v2
Version 3:: W19-5306v3
Volume:: Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Month:: August
Year:: 2019
Address:: Florence, Italy
Editors:: Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Marco Turchi, Karin Verspoor
Venue:: WMT
SIG:: SIGMT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 122–128
Language:
URL:: https://aclanthology.org/W19-5306/
DOI:: 10.18653/v1/W19-5306
Bibkey:
Cite (ACL):: Ergun Biçici. 2019. Machine Translation with parfda, Moses, kenlm, nplm, and PRO. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 122–128, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):: Machine Translation with parfda, Moses, kenlm, nplm, and PRO (Biçici, WMT 2019)
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PDF:: https://aclanthology.org/W19-5306.pdf

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@inproceedings{bicici-2019-machine,
    title = "Machine Translation with parfda, {M}oses, kenlm, nplm, and {PRO}",
    author = "Bi{\c{c}}ici, Ergun",
    editor = "Bojar, Ond{\v{r}}ej  and
      Chatterjee, Rajen  and
      Federmann, Christian  and
      Fishel, Mark  and
      Graham, Yvette  and
      Haddow, Barry  and
      Huck, Matthias  and
      Yepes, Antonio Jimeno  and
      Koehn, Philipp  and
      Martins, Andr{\'e}  and
      Monz, Christof  and
      Negri, Matteo  and
      N{\'e}v{\'e}ol, Aur{\'e}lie  and
      Neves, Mariana  and
      Post, Matt  and
      Turchi, Marco  and
      Verspoor, Karin",
    booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-5306/",
    doi = "10.18653/v1/W19-5306",
    pages = "122--128",
    abstract = "We build parfda Moses statistical machine translation (SMT) models for most language pairs in the news translation task. We experiment with a hybrid approach using neural language models integrated into Moses. We obtain the constrained data statistics on the machine translation task, the coverage of the test sets, and the upper bounds on the translation results. We also contribute a new testsuite for the German-English language pair and a new automated key phrase extraction technique for the evaluation of the testsuite translations."
}

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%0 Conference Proceedings
%T Machine Translation with parfda, Moses, kenlm, nplm, and PRO
%A Biçici, Ergun
%Y Bojar, Ondřej
%Y Chatterjee, Rajen
%Y Federmann, Christian
%Y Fishel, Mark
%Y Graham, Yvette
%Y Haddow, Barry
%Y Huck, Matthias
%Y Yepes, Antonio Jimeno
%Y Koehn, Philipp
%Y Martins, André
%Y Monz, Christof
%Y Negri, Matteo
%Y Névéol, Aurélie
%Y Neves, Mariana
%Y Post, Matt
%Y Turchi, Marco
%Y Verspoor, Karin
%S Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F bicici-2019-machine
%X We build parfda Moses statistical machine translation (SMT) models for most language pairs in the news translation task. We experiment with a hybrid approach using neural language models integrated into Moses. We obtain the constrained data statistics on the machine translation task, the coverage of the test sets, and the upper bounds on the translation results. We also contribute a new testsuite for the German-English language pair and a new automated key phrase extraction technique for the evaluation of the testsuite translations.
%R 10.18653/v1/W19-5306
%U https://aclanthology.org/W19-5306/
%U https://doi.org/10.18653/v1/W19-5306
%P 122-128

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Markdown (Informal)

[Machine Translation with parfda, Moses, kenlm, nplm, and PRO](https://aclanthology.org/W19-5306/) (Biçici, WMT 2019)

Machine Translation with parfda, Moses, kenlm, nplm, and PRO (Biçici, WMT 2019)

ACL

Ergun Biçici. 2019. Machine Translation with parfda, Moses, kenlm, nplm, and PRO. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 122–128, Florence, Italy. Association for Computational Linguistics.