Using Term Position Similarity and Language Modeling for Bilingual Document Alignment

Thanh C. Le; Hoa Trong Vu; Jon Oberlander; Ondřej Bojar

doi:10.18653/v1/W16-2371

Using Term Position Similarity and Language Modeling for Bilingual Document Alignment

Thanh C. Le, Hoa Trong Vu, Jonathan Oberländer, Ondřej Bojar

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Anthology ID:: W16-2371
Volume:: Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers
Month:: August
Year:: 2016
Address:: Berlin, Germany
Editors:: Ondřej Bojar, Christian Buck, Rajen Chatterjee, Christian Federmann, Liane Guillou, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Aurélie Névéol, Mariana Neves, Pavel Pecina, Martin Popel, Philipp Koehn, Christof Monz, Matteo Negri, Matt Post, Lucia Specia, Karin Verspoor, Jörg Tiedemann, Marco Turchi
Venue:: WMT
SIG:: SIGMT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 710–716
Language:
URL:: https://aclanthology.org/W16-2371/
DOI:: 10.18653/v1/W16-2371
Bibkey:
Cite (ACL):: Thanh C. Le, Hoa Trong Vu, Jonathan Oberländer, and Ondřej Bojar. 2016. Using Term Position Similarity and Language Modeling for Bilingual Document Alignment. In Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers, pages 710–716, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):: Using Term Position Similarity and Language Modeling for Bilingual Document Alignment (Le et al., WMT 2016)
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PDF:: https://aclanthology.org/W16-2371.pdf

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@inproceedings{le-etal-2016-using,
    title = "Using Term Position Similarity and Language Modeling for Bilingual Document Alignment",
    author = {Le, Thanh C.  and
      Vu, Hoa Trong  and
      Oberl{\"a}nder, Jonathan  and
      Bojar, Ond{\v{r}}ej},
    editor = {Bojar, Ond{\v{r}}ej  and
      Buck, Christian  and
      Chatterjee, Rajen  and
      Federmann, Christian  and
      Guillou, Liane  and
      Haddow, Barry  and
      Huck, Matthias  and
      Yepes, Antonio Jimeno  and
      N{\'e}v{\'e}ol, Aur{\'e}lie  and
      Neves, Mariana  and
      Pecina, Pavel  and
      Popel, Martin  and
      Koehn, Philipp  and
      Monz, Christof  and
      Negri, Matteo  and
      Post, Matt  and
      Specia, Lucia  and
      Verspoor, Karin  and
      Tiedemann, J{\"o}rg  and
      Turchi, Marco},
    booktitle = "Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers",
    month = aug,
    year = "2016",
    address = "Berlin, Germany",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W16-2371/",
    doi = "10.18653/v1/W16-2371",
    pages = "710--716"
}

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%0 Conference Proceedings
%T Using Term Position Similarity and Language Modeling for Bilingual Document Alignment
%A Le, Thanh C.
%A Vu, Hoa Trong
%A Oberländer, Jonathan
%A Bojar, Ondřej
%Y Bojar, Ondřej
%Y Buck, Christian
%Y Chatterjee, Rajen
%Y Federmann, Christian
%Y Guillou, Liane
%Y Haddow, Barry
%Y Huck, Matthias
%Y Yepes, Antonio Jimeno
%Y Névéol, Aurélie
%Y Neves, Mariana
%Y Pecina, Pavel
%Y Popel, Martin
%Y Koehn, Philipp
%Y Monz, Christof
%Y Negri, Matteo
%Y Post, Matt
%Y Specia, Lucia
%Y Verspoor, Karin
%Y Tiedemann, Jörg
%Y Turchi, Marco
%S Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers
%D 2016
%8 August
%I Association for Computational Linguistics
%C Berlin, Germany
%F le-etal-2016-using
%R 10.18653/v1/W16-2371
%U https://aclanthology.org/W16-2371/
%U https://doi.org/10.18653/v1/W16-2371
%P 710-716

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Markdown (Informal)

[Using Term Position Similarity and Language Modeling for Bilingual Document Alignment](https://aclanthology.org/W16-2371/) (Le et al., WMT 2016)

Using Term Position Similarity and Language Modeling for Bilingual Document Alignment (Le et al., WMT 2016)

ACL

Thanh C. Le, Hoa Trong Vu, Jonathan Oberländer, and Ondřej Bojar. 2016. Using Term Position Similarity and Language Modeling for Bilingual Document Alignment. In Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers, pages 710–716, Berlin, Germany. Association for Computational Linguistics.