@inproceedings{seo-etal-2012-grammatical,
title = "Grammatical Error Annotation for {K}orean Learners of Spoken {E}nglish",
author = "Seo, Hongsuck and
Lee, Kyusong and
Lee, Gary Geunbae and
Kweon, Soo-Ok and
Kim, Hae-Ri",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/168_Paper.pdf",
pages = "1628--1631",
abstract = "The goal of our research is to build a grammatical error-tagged corpus for Korean learners of Spoken English dubbed Postech Learner Corpus. We collected raw story-telling speech from Korean university students. Transcription and annotation using the Cambridge Learner Corpus tagset were performed by six Korean annotators fluent in English. For the annotation of the corpus, we developed an annotation tool and a validation tool. After comparing human annotation with machine-recommended error tags, unmatched errors were rechecked by a native annotator. We observed different characteristics between the spoken language corpus built in this study and an existing written language corpus.",
}
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<abstract>The goal of our research is to build a grammatical error-tagged corpus for Korean learners of Spoken English dubbed Postech Learner Corpus. We collected raw story-telling speech from Korean university students. Transcription and annotation using the Cambridge Learner Corpus tagset were performed by six Korean annotators fluent in English. For the annotation of the corpus, we developed an annotation tool and a validation tool. After comparing human annotation with machine-recommended error tags, unmatched errors were rechecked by a native annotator. We observed different characteristics between the spoken language corpus built in this study and an existing written language corpus.</abstract>
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%0 Conference Proceedings
%T Grammatical Error Annotation for Korean Learners of Spoken English
%A Seo, Hongsuck
%A Lee, Kyusong
%A Lee, Gary Geunbae
%A Kweon, Soo-Ok
%A Kim, Hae-Ri
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F seo-etal-2012-grammatical
%X The goal of our research is to build a grammatical error-tagged corpus for Korean learners of Spoken English dubbed Postech Learner Corpus. We collected raw story-telling speech from Korean university students. Transcription and annotation using the Cambridge Learner Corpus tagset were performed by six Korean annotators fluent in English. For the annotation of the corpus, we developed an annotation tool and a validation tool. After comparing human annotation with machine-recommended error tags, unmatched errors were rechecked by a native annotator. We observed different characteristics between the spoken language corpus built in this study and an existing written language corpus.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/168_Paper.pdf
%P 1628-1631
Markdown (Informal)
[Grammatical Error Annotation for Korean Learners of Spoken English](http://www.lrec-conf.org/proceedings/lrec2012/pdf/168_Paper.pdf) (Seo et al., LREC 2012)
ACL
- Hongsuck Seo, Kyusong Lee, Gary Geunbae Lee, Soo-Ok Kweon, and Hae-Ri Kim. 2012. Grammatical Error Annotation for Korean Learners of Spoken English. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1628–1631, Istanbul, Turkey. European Language Resources Association (ELRA).