File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Chinese unknown word identification using class-based LM

TitleChinese unknown word identification using class-based LM
Authors
Issue Date2005
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
Lecture Notes In Artificial Intelligence (Subseries Of Lecture Notes In Computer Science), 2005, v. 3248, p. 704-713 How to Cite?
AbstractThis paper presents a modified class-based LM approach to Chinese unknown word identification. In this work, Chinese unknown word identification is viewed as a classification problem and the part-of-speech of each unknown word is defined as its class. Furthermore, three types of features, including contextual class feature, word juncture model and word formation patterns, are combined in a framework of class-based LM to perform correct unknown word identification on a sequence of known words. In addition to unknown word identification, the class-based LM approach also provides a solution for unknown word tagging. The results of our experiments show that most unknown words in Chinese texts can be resolved effectively by the proposed approach. © Springer-Verlag Berlin Heidelberg 2005.
Persistent Identifierhttp://hdl.handle.net/10722/159068
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorFu, Gen_US
dc.contributor.authorLuke, KKen_US
dc.date.accessioned2012-08-08T09:06:25Z-
dc.date.available2012-08-08T09:06:25Z-
dc.date.issued2005en_US
dc.identifier.citationLecture Notes In Artificial Intelligence (Subseries Of Lecture Notes In Computer Science), 2005, v. 3248, p. 704-713en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10722/159068-
dc.description.abstractThis paper presents a modified class-based LM approach to Chinese unknown word identification. In this work, Chinese unknown word identification is viewed as a classification problem and the part-of-speech of each unknown word is defined as its class. Furthermore, three types of features, including contextual class feature, word juncture model and word formation patterns, are combined in a framework of class-based LM to perform correct unknown word identification on a sequence of known words. In addition to unknown word identification, the class-based LM approach also provides a solution for unknown word tagging. The results of our experiments show that most unknown words in Chinese texts can be resolved effectively by the proposed approach. © Springer-Verlag Berlin Heidelberg 2005.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_US
dc.relation.ispartofLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)en_US
dc.titleChinese unknown word identification using class-based LMen_US
dc.typeConference_Paperen_US
dc.identifier.emailLuke, KK:kkluke@hkusua.hku.hken_US
dc.identifier.authorityLuke, KK=rp01201en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-26444559013en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-26444559013&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume3248en_US
dc.identifier.spage704en_US
dc.identifier.epage713en_US
dc.publisher.placeGermanyen_US
dc.identifier.scopusauthoridFu, G=7202721096en_US
dc.identifier.scopusauthoridLuke, KK=7003697439en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats