Creation of a Japanese Adverb Dictionary that Includes Information on the Speaker’s Communicative Intention Using Machine Learning

Toshiyuki Kanamaru, Masaki Murata, Hitoshi Isahara


Abstract
Japanese adverbs are classified as either declarative or normal; the former declare the communicative intention of the speaker, while the latter convey a manner of action, a quantity, or a degree by which the adverb modifies the verb or adjective that it accompanies. We have automatically classified adverbs as either declarative or not declarative using a machine-learning method such as the maximum entropy method. We defined adverbs having positive or negative connotations as the positive data. We classified adverbs in the EDR dictionary and IPADIC used by Chasen using this result and built an adverb dictionary that contains descriptions of the communicative intentions of the speaker.
Anthology ID:
L06-1205
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)
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Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/349_pdf.pdf
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Bibkey:
Cite (ACL):
Toshiyuki Kanamaru, Masaki Murata, and Hitoshi Isahara. 2006. Creation of a Japanese Adverb Dictionary that Includes Information on the Speaker’s Communicative Intention Using Machine Learning. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).
Cite (Informal):
Creation of a Japanese Adverb Dictionary that Includes Information on the Speaker’s Communicative Intention Using Machine Learning (Kanamaru et al., LREC 2006)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/349_pdf.pdf