Better Together: Modern Methods Plus Traditional Thinking in NP Alignment

Ádám Kovács; Judit Ács; András Kornai; Gábor Recski

Better Together: Modern Methods Plus Traditional Thinking in NP Alignment

Ádám Kovács, Judit Ács, Andras Kornai, Gábor Recski

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Abstract

We study a typical intermediary task to Machine Translation, the alignment of NPs in the bitext. After arguing that the task remains relevant even in an end-to-end paradigm, we present simple, dictionary- and word vector-based baselines and a BERT-based system. Our results make clear that even state of the art systems relying on the best end-to-end methods can be improved by bringing in old-fashioned methods such as stopword removal, lemmatization, and dictionaries

Anthology ID:: 2020.lrec-1.448
Volume:: Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:: May
Year:: 2020
Address:: Marseille, France
Editors:: Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association
Note:
Pages:: 3635–3639
Language:: English
URL:: https://aclanthology.org/2020.lrec-1.448/
DOI:
Bibkey:
Cite (ACL):: Ádám Kovács, Judit Ács, Andras Kornai, and Gábor Recski. 2020. Better Together: Modern Methods Plus Traditional Thinking in NP Alignment. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3635–3639, Marseille, France. European Language Resources Association.
Cite (Informal):: Better Together: Modern Methods Plus Traditional Thinking in NP Alignment (Kovács et al., LREC 2020)
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PDF:: https://aclanthology.org/2020.lrec-1.448.pdf

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@inproceedings{kovacs-etal-2020-better,
    title = "Better Together: Modern Methods Plus Traditional Thinking in {NP} Alignment",
    author = "Kov{\'a}cs, {\'A}d{\'a}m  and
      {\'A}cs, Judit  and
      Kornai, Andras  and
      Recski, G{\'a}bor",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.lrec-1.448/",
    pages = "3635--3639",
    language = "eng",
    ISBN = "979-10-95546-34-4",
    abstract = "We study a typical intermediary task to Machine Translation, the alignment of NPs in the bitext. After arguing that the task remains relevant even in an end-to-end paradigm, we present simple, dictionary- and word vector-based baselines and a BERT-based system. Our results make clear that even state of the art systems relying on the best end-to-end methods can be improved by bringing in old-fashioned methods such as stopword removal, lemmatization, and dictionaries"
}

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%0 Conference Proceedings
%T Better Together: Modern Methods Plus Traditional Thinking in NP Alignment
%A Kovács, Ádám
%A Ács, Judit
%A Kornai, Andras
%A Recski, Gábor
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G eng
%F kovacs-etal-2020-better
%X We study a typical intermediary task to Machine Translation, the alignment of NPs in the bitext. After arguing that the task remains relevant even in an end-to-end paradigm, we present simple, dictionary- and word vector-based baselines and a BERT-based system. Our results make clear that even state of the art systems relying on the best end-to-end methods can be improved by bringing in old-fashioned methods such as stopword removal, lemmatization, and dictionaries
%U https://aclanthology.org/2020.lrec-1.448/
%P 3635-3639

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Markdown (Informal)

[Better Together: Modern Methods Plus Traditional Thinking in NP Alignment](https://aclanthology.org/2020.lrec-1.448/) (Kovács et al., LREC 2020)

Better Together: Modern Methods Plus Traditional Thinking in NP Alignment (Kovács et al., LREC 2020)

ACL

Ádám Kovács, Judit Ács, Andras Kornai, and Gábor Recski. 2020. Better Together: Modern Methods Plus Traditional Thinking in NP Alignment. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3635–3639, Marseille, France. European Language Resources Association.