POLENG MT: An Adaptive MT Platform

Artur Nowakowski; Krzysztof Jassem; Maciej Lison; Kamil Guttmann; Mikołaj Pokrywka

POLENG MT: An Adaptive MT Platform

Artur Nowakowski, Krzysztof Jassem, Maciej Lison, Kamil Guttmann, Mikołaj Pokrywka

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Abstract

We introduce POLENG MT, an MT platform that may be used as a cloud web application or as an on-site solution. The platform is capable of providing accurate document translation, including the transfer of document formatting between the input document and the output document. The main feature of the on-site version is dedicated customer adaptation, which consists of training on specialized texts and applying forced terminology translation according to the user’s needs.

Anthology ID:: 2022.eamt-1.48
Volume:: Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Month:: June
Year:: 2022
Address:: Ghent, Belgium
Editors:: Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
Venue:: EAMT
SIG:
Publisher:: European Association for Machine Translation
Note:
Pages:: 317–318
Language:
URL:: https://aclanthology.org/2022.eamt-1.48/
DOI:
Bibkey:
Cite (ACL):: Artur Nowakowski, Krzysztof Jassem, Maciej Lison, Kamil Guttmann, and Mikołaj Pokrywka. 2022. POLENG MT: An Adaptive MT Platform. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 317–318, Ghent, Belgium. European Association for Machine Translation.
Cite (Informal):: POLENG MT: An Adaptive MT Platform (Nowakowski et al., EAMT 2022)
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PDF:: https://aclanthology.org/2022.eamt-1.48.pdf

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@inproceedings{nowakowski-etal-2022-poleng,
    title = "{POLENG} {MT}: An Adaptive {MT} Platform",
    author = "Nowakowski, Artur  and
      Jassem, Krzysztof  and
      Lison, Maciej  and
      Guttmann, Kamil  and
      Pokrywka, Miko{\l}aj",
    editor = {Moniz, Helena  and
      Macken, Lieve  and
      Rufener, Andrew  and
      Barrault, Lo{\"i}c  and
      Costa-juss{\`a}, Marta R.  and
      Declercq, Christophe  and
      Koponen, Maarit  and
      Kemp, Ellie  and
      Pilos, Spyridon  and
      Forcada, Mikel L.  and
      Scarton, Carolina  and
      Van den Bogaert, Joachim  and
      Daems, Joke  and
      Tezcan, Arda  and
      Vanroy, Bram  and
      Fonteyne, Margot},
    booktitle = "Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",
    month = jun,
    year = "2022",
    address = "Ghent, Belgium",
    publisher = "European Association for Machine Translation",
    url = "https://aclanthology.org/2022.eamt-1.48/",
    pages = "317--318",
    abstract = "We introduce POLENG MT, an MT platform that may be used as a cloud web application or as an on-site solution. The platform is capable of providing accurate document translation, including the transfer of document formatting between the input document and the output document. The main feature of the on-site version is dedicated customer adaptation, which consists of training on specialized texts and applying forced terminology translation according to the user{'}s needs."
}

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%0 Conference Proceedings
%T POLENG MT: An Adaptive MT Platform
%A Nowakowski, Artur
%A Jassem, Krzysztof
%A Lison, Maciej
%A Guttmann, Kamil
%A Pokrywka, Mikołaj
%Y Moniz, Helena
%Y Macken, Lieve
%Y Rufener, Andrew
%Y Barrault, Loïc
%Y Costa-jussà, Marta R.
%Y Declercq, Christophe
%Y Koponen, Maarit
%Y Kemp, Ellie
%Y Pilos, Spyridon
%Y Forcada, Mikel L.
%Y Scarton, Carolina
%Y Van den Bogaert, Joachim
%Y Daems, Joke
%Y Tezcan, Arda
%Y Vanroy, Bram
%Y Fonteyne, Margot
%S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
%D 2022
%8 June
%I European Association for Machine Translation
%C Ghent, Belgium
%F nowakowski-etal-2022-poleng
%X We introduce POLENG MT, an MT platform that may be used as a cloud web application or as an on-site solution. The platform is capable of providing accurate document translation, including the transfer of document formatting between the input document and the output document. The main feature of the on-site version is dedicated customer adaptation, which consists of training on specialized texts and applying forced terminology translation according to the user’s needs.
%U https://aclanthology.org/2022.eamt-1.48/
%P 317-318

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Markdown (Informal)

[POLENG MT: An Adaptive MT Platform](https://aclanthology.org/2022.eamt-1.48/) (Nowakowski et al., EAMT 2022)

POLENG MT: An Adaptive MT Platform (Nowakowski et al., EAMT 2022)

ACL

Artur Nowakowski, Krzysztof Jassem, Maciej Lison, Kamil Guttmann, and Mikołaj Pokrywka. 2022. POLENG MT: An Adaptive MT Platform. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 317–318, Ghent, Belgium. European Association for Machine Translation.