Improving POS Tagging of German Learner Language in a Reading Comprehension Scenario

Lena Keiper; Andrea Horbach; Stefan Thater

Improving POS Tagging of German Learner Language in a Reading Comprehension Scenario

Lena Keiper, Andrea Horbach, Stefan Thater

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Abstract

We present a novel method to automatically improve the accurracy of part-of-speech taggers on learner language. The key idea underlying our approach is to exploit the structure of a typical language learner task and automatically induce POS information for out-of-vocabulary (OOV) words. To evaluate the effectiveness of our approach, we add manual POS and normalization information to an existing language learner corpus. Our evaluation shows an increase in accurracy from 72.4% to 81.5% on OOV words.

Anthology ID:: L16-1030
Volume:: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:: May
Year:: 2016
Address:: Portorož, Slovenia
Editors:: Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association (ELRA)
Note:
Pages:: 198–205
Language:
URL:: https://aclanthology.org/L16-1030/
DOI:
Bibkey:
Cite (ACL):: Lena Keiper, Andrea Horbach, and Stefan Thater. 2016. Improving POS Tagging of German Learner Language in a Reading Comprehension Scenario. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 198–205, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):: Improving POS Tagging of German Learner Language in a Reading Comprehension Scenario (Keiper et al., LREC 2016)
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PDF:: https://aclanthology.org/L16-1030.pdf

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@inproceedings{keiper-etal-2016-improving,
    title = "Improving {POS} Tagging of {G}erman Learner Language in a Reading Comprehension Scenario",
    author = "Keiper, Lena  and
      Horbach, Andrea  and
      Thater, Stefan",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Grobelnik, Marko  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, Helene  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L16-1030/",
    pages = "198--205",
    abstract = "We present a novel method to automatically improve the accurracy of part-of-speech taggers on learner language. The key idea underlying our approach is to exploit the structure of a typical language learner task and automatically induce POS information for out-of-vocabulary (OOV) words. To evaluate the effectiveness of our approach, we add manual POS and normalization information to an existing language learner corpus. Our evaluation shows an increase in accurracy from 72.4{\%} to 81.5{\%} on OOV words."
}

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%0 Conference Proceedings
%T Improving POS Tagging of German Learner Language in a Reading Comprehension Scenario
%A Keiper, Lena
%A Horbach, Andrea
%A Thater, Stefan
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F keiper-etal-2016-improving
%X We present a novel method to automatically improve the accurracy of part-of-speech taggers on learner language. The key idea underlying our approach is to exploit the structure of a typical language learner task and automatically induce POS information for out-of-vocabulary (OOV) words. To evaluate the effectiveness of our approach, we add manual POS and normalization information to an existing language learner corpus. Our evaluation shows an increase in accurracy from 72.4% to 81.5% on OOV words.
%U https://aclanthology.org/L16-1030/
%P 198-205

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Markdown (Informal)

[Improving POS Tagging of German Learner Language in a Reading Comprehension Scenario](https://aclanthology.org/L16-1030/) (Keiper et al., LREC 2016)

Improving POS Tagging of German Learner Language in a Reading Comprehension Scenario (Keiper et al., LREC 2016)

ACL

Lena Keiper, Andrea Horbach, and Stefan Thater. 2016. Improving POS Tagging of German Learner Language in a Reading Comprehension Scenario. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 198–205, Portorož, Slovenia. European Language Resources Association (ELRA).