The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional

Jeremy Gwinnup; Joshua Sandvick; Michael Hutt; Grant Erdmann; John Duselis; James Davis

doi:10.18653/v1/W18-6440

The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional

Jeremy Gwinnup, Joshua Sandvick, Michael Hutt, Grant Erdmann, John Duselis, James Davis

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Abstract

AFRL-Ohio State extends its usage of visual domain-driven machine translation for use as a peer with traditional machine translation systems. As a peer, it is enveloped into a system combination of neural and statistical MT systems to present a composite translation.

Anthology ID:: W18-6440
Volume:: Proceedings of the Third Conference on Machine Translation: Shared Task Papers
Month:: October
Year:: 2018
Address:: Belgium, Brussels
Editors:: Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor
Venue:: WMT
SIG:: SIGMT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 612–615
Language:
URL:: https://aclanthology.org/W18-6440/
DOI:: 10.18653/v1/W18-6440
Bibkey:
Cite (ACL):: Jeremy Gwinnup, Joshua Sandvick, Michael Hutt, Grant Erdmann, John Duselis, and James Davis. 2018. The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 612–615, Belgium, Brussels. Association for Computational Linguistics.
Cite (Informal):: The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional (Gwinnup et al., WMT 2018)
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PDF:: https://aclanthology.org/W18-6440.pdf

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@inproceedings{gwinnup-etal-2018-afrl-ohio,
    title = "The {AFRL}-{O}hio {S}tate {WMT}18 Multimodal System: Combining Visual with Traditional",
    author = "Gwinnup, Jeremy  and
      Sandvick, Joshua  and
      Hutt, Michael  and
      Erdmann, Grant  and
      Duselis, John  and
      Davis, James",
    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
      Monz, Christof  and
      Negri, Matteo  and
      N{\'e}v{\'e}ol, Aur{\'e}lie  and
      Neves, Mariana  and
      Post, Matt  and
      Specia, Lucia  and
      Turchi, Marco  and
      Verspoor, Karin",
    booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
    month = oct,
    year = "2018",
    address = "Belgium, Brussels",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W18-6440/",
    doi = "10.18653/v1/W18-6440",
    pages = "612--615",
    abstract = "AFRL-Ohio State extends its usage of visual domain-driven machine translation for use as a peer with traditional machine translation systems. As a peer, it is enveloped into a system combination of neural and statistical MT systems to present a composite translation."
}

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%0 Conference Proceedings
%T The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional
%A Gwinnup, Jeremy
%A Sandvick, Joshua
%A Hutt, Michael
%A Erdmann, Grant
%A Duselis, John
%A Davis, James
%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 Monz, Christof
%Y Negri, Matteo
%Y Névéol, Aurélie
%Y Neves, Mariana
%Y Post, Matt
%Y Specia, Lucia
%Y Turchi, Marco
%Y Verspoor, Karin
%S Proceedings of the Third Conference on Machine Translation: Shared Task Papers
%D 2018
%8 October
%I Association for Computational Linguistics
%C Belgium, Brussels
%F gwinnup-etal-2018-afrl-ohio
%X AFRL-Ohio State extends its usage of visual domain-driven machine translation for use as a peer with traditional machine translation systems. As a peer, it is enveloped into a system combination of neural and statistical MT systems to present a composite translation.
%R 10.18653/v1/W18-6440
%U https://aclanthology.org/W18-6440/
%U https://doi.org/10.18653/v1/W18-6440
%P 612-615

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Markdown (Informal)

[The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional](https://aclanthology.org/W18-6440/) (Gwinnup et al., WMT 2018)

The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional (Gwinnup et al., WMT 2018)

ACL

Jeremy Gwinnup, Joshua Sandvick, Michael Hutt, Grant Erdmann, John Duselis, and James Davis. 2018. The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 612–615, Belgium, Brussels. Association for Computational Linguistics.