Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages

Cash Costello; Shelby Anderson; Caitlyn Bishop; James Mayfield; Paul McNamee

Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages

Cash Costello, Shelby Anderson, Caitlyn Bishop, James Mayfield, Paul McNamee

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Abstract

Dragonfly is an open source software tool that supports annotation of text in a low resource language by non-speakers of the language. Using semantic and contextual information, non-speakers of a language familiar with the Latin script can produce high quality named entity annotations to support construction of a name tagger. We describe a procedure for annotating low resource languages using Dragonfly that others can use, which we developed based on our experience annotating data in more than ten languages. We also present performance comparisons between models trained on native speaker and non-speaker annotations.

Anthology ID:: 2020.lrec-1.862
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:: 6983–6987
Language:: English
URL:: https://aclanthology.org/2020.lrec-1.862/
DOI:
Bibkey:
Cite (ACL):: Cash Costello, Shelby Anderson, Caitlyn Bishop, James Mayfield, and Paul McNamee. 2020. Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6983–6987, Marseille, France. European Language Resources Association.
Cite (Informal):: Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages (Costello et al., LREC 2020)
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PDF:: https://aclanthology.org/2020.lrec-1.862.pdf

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@inproceedings{costello-etal-2020-dragonfly,
    title = "{D}ragonfly: Advances in Non-Speaker Annotation for Low Resource Languages",
    author = "Costello, Cash  and
      Anderson, Shelby  and
      Bishop, Caitlyn  and
      Mayfield, James  and
      McNamee, Paul",
    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-1.862/",
    pages = "6983--6987",
    language = "eng",
    ISBN = "979-10-95546-34-4",
    abstract = "Dragonfly is an open source software tool that supports annotation of text in a low resource language by non-speakers of the language. Using semantic and contextual information, non-speakers of a language familiar with the Latin script can produce high quality named entity annotations to support construction of a name tagger. We describe a procedure for annotating low resource languages using Dragonfly that others can use, which we developed based on our experience annotating data in more than ten languages. We also present performance comparisons between models trained on native speaker and non-speaker annotations."
}

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%0 Conference Proceedings
%T Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages
%A Costello, Cash
%A Anderson, Shelby
%A Bishop, Caitlyn
%A Mayfield, James
%A McNamee, Paul
%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 costello-etal-2020-dragonfly
%X Dragonfly is an open source software tool that supports annotation of text in a low resource language by non-speakers of the language. Using semantic and contextual information, non-speakers of a language familiar with the Latin script can produce high quality named entity annotations to support construction of a name tagger. We describe a procedure for annotating low resource languages using Dragonfly that others can use, which we developed based on our experience annotating data in more than ten languages. We also present performance comparisons between models trained on native speaker and non-speaker annotations.
%U https://aclanthology.org/2020.lrec-1.862/
%P 6983-6987

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Markdown (Informal)

[Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages](https://aclanthology.org/2020.lrec-1.862/) (Costello et al., LREC 2020)

Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages (Costello et al., LREC 2020)

ACL

Cash Costello, Shelby Anderson, Caitlyn Bishop, James Mayfield, and Paul McNamee. 2020. Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6983–6987, Marseille, France. European Language Resources Association.