Identification of Multiword Expressions in the brWaC

Rodrigo Boos; Kassius Prestes; Aline Villavicencio

Identification of Multiword Expressions in the brWaC

Rodrigo Boos, Kassius Prestes, Aline Villavicencio

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Abstract

Although corpus size is a well known factor that affects the performance of many NLP tasks, for many languages large freely available corpora are still scarce. In this paper we describe one effort to build a very large corpus for Brazilian Portuguese, the brWaC, generated following the Web as Corpus kool initiative. To indirectly assess the quality of the resulting corpus we examined the impact of corpus origin in a specific task, the identification of Multiword Expressions with association measures, against a standard corpus. Focusing on nominal compounds, the expressions obtained from each corpus are of comparable quality and indicate that corpus origin has no impact on this task.

Anthology ID:: L14-1429
Volume:: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:: May
Year:: 2014
Address:: Reykjavik, Iceland
Editors:: Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association (ELRA)
Note:
Pages:: 728–735
Language:
URL:: http://www.lrec-conf.org/proceedings/lrec2014/pdf/518_Paper.pdf
DOI:
Bibkey:
Cite (ACL):: Rodrigo Boos, Kassius Prestes, and Aline Villavicencio. 2014. Identification of Multiword Expressions in the brWaC. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 728–735, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):: Identification of Multiword Expressions in the brWaC (Boos et al., LREC 2014)
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PDF:: http://www.lrec-conf.org/proceedings/lrec2014/pdf/518_Paper.pdf

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@inproceedings{boos-etal-2014-identification,
    title = "Identification of Multiword Expressions in the br{W}a{C}",
    author = "Boos, Rodrigo  and
      Prestes, Kassius  and
      Villavicencio, Aline",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Loftsson, Hrafn  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
    month = may,
    year = "2014",
    address = "Reykjavik, Iceland",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L14-1429/",
    pages = "728--735",
    abstract = "Although corpus size is a well known factor that affects the performance of many NLP tasks, for many languages large freely available corpora are still scarce. In this paper we describe one effort to build a very large corpus for Brazilian Portuguese, the brWaC, generated following the Web as Corpus kool initiative. To indirectly assess the quality of the resulting corpus we examined the impact of corpus origin in a specific task, the identification of Multiword Expressions with association measures, against a standard corpus. Focusing on nominal compounds, the expressions obtained from each corpus are of comparable quality and indicate that corpus origin has no impact on this task."
}

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%0 Conference Proceedings
%T Identification of Multiword Expressions in the brWaC
%A Boos, Rodrigo
%A Prestes, Kassius
%A Villavicencio, Aline
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F boos-etal-2014-identification
%X Although corpus size is a well known factor that affects the performance of many NLP tasks, for many languages large freely available corpora are still scarce. In this paper we describe one effort to build a very large corpus for Brazilian Portuguese, the brWaC, generated following the Web as Corpus kool initiative. To indirectly assess the quality of the resulting corpus we examined the impact of corpus origin in a specific task, the identification of Multiword Expressions with association measures, against a standard corpus. Focusing on nominal compounds, the expressions obtained from each corpus are of comparable quality and indicate that corpus origin has no impact on this task.
%U https://aclanthology.org/L14-1429/
%P 728-735

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Markdown (Informal)

[Identification of Multiword Expressions in the brWaC](https://aclanthology.org/L14-1429/) (Boos et al., LREC 2014)

Identification of Multiword Expressions in the brWaC (Boos et al., LREC 2014)

ACL

Rodrigo Boos, Kassius Prestes, and Aline Villavicencio. 2014. Identification of Multiword Expressions in the brWaC. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 728–735, Reykjavik, Iceland. European Language Resources Association (ELRA).