An Annotated Corpus Management Tool: ChaKi

Yuji Matsumoto, Masayuki Asahara, Kiyota Hashimoto, Yukio Tono, Akira Ohtani, Toshio Morita


Abstract
Large scale annotated corpora are very important not only inlinguistic research but also in practical natural language processingtasks since a number of practical tools such as Part-of-speech (POS) taggers and syntactic parsers are now corpus-based or machine learning-based systems which require some amount of accurately annotated corpora. This article presents an annotated corpus management tool that provides various functions that include flexible search, statistic calculation, and error correction for linguistically annotated corpora. The target of annotation covers POS tags, base phrase chunks and syntactic dependency structures. This tool aims at helping development of consistent construction of lexicon and annotated corpora to be used by researchers both in linguists and language processing communities.
Anthology ID:
L06-1016
Volume:
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
Month:
May
Year:
2006
Address:
Genoa, Italy
Editors:
Nicoletta Calzolari, Khalid Choukri, Aldo Gangemi, Bente Maegaard, Joseph Mariani, Jan Odijk, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/39_pdf.pdf
DOI:
Bibkey:
Cite (ACL):
Yuji Matsumoto, Masayuki Asahara, Kiyota Hashimoto, Yukio Tono, Akira Ohtani, and Toshio Morita. 2006. An Annotated Corpus Management Tool: ChaKi. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).
Cite (Informal):
An Annotated Corpus Management Tool: ChaKi (Matsumoto et al., LREC 2006)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/39_pdf.pdf