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Conference Paper: Extended multi-word trigger pair language model using data mining technique

TitleExtended multi-word trigger pair language model using data mining technique
Authors
KeywordsChinese Recognition
Data Mining
Language Model
Pattern Recognition
Issue Date2003
Citation
Proceedings Of The Ieee International Conference On Systems, Man And Cybernetics, 2003, v. 1, p. 262-267 How to Cite?
Abstracta good language model is essential to a postprocessing algorithm for recognition systems. Trigger pair model has been used to investigate long distance dependent relationship. However, previous trigger pair model has only one word for its trigger. It is desirable that more words can be observed in the trigger for a better prediction of the triggered word. In this work, we view establishing trigger pair model as mining association rules in a large database and create a multiple words trigger pair model by using an adapted Apriori algorithm. The new trigger pair model can be used in the stage of finding best path from a word lattice as traditional trigger pair model can. Specially, it can be used to correct mistakes remaining in the final result as well. Those mistakes would be unavoidable for other language models.
Persistent Identifierhttp://hdl.handle.net/10722/151842
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorChen, Yen_US
dc.contributor.authorChan, KPen_US
dc.date.accessioned2012-06-26T06:30:01Z-
dc.date.available2012-06-26T06:30:01Z-
dc.date.issued2003en_US
dc.identifier.citationProceedings Of The Ieee International Conference On Systems, Man And Cybernetics, 2003, v. 1, p. 262-267en_US
dc.identifier.issn0884-3627en_US
dc.identifier.urihttp://hdl.handle.net/10722/151842-
dc.description.abstracta good language model is essential to a postprocessing algorithm for recognition systems. Trigger pair model has been used to investigate long distance dependent relationship. However, previous trigger pair model has only one word for its trigger. It is desirable that more words can be observed in the trigger for a better prediction of the triggered word. In this work, we view establishing trigger pair model as mining association rules in a large database and create a multiple words trigger pair model by using an adapted Apriori algorithm. The new trigger pair model can be used in the stage of finding best path from a word lattice as traditional trigger pair model can. Specially, it can be used to correct mistakes remaining in the final result as well. Those mistakes would be unavoidable for other language models.en_US
dc.languageengen_US
dc.relation.ispartofProceedings of the IEEE International Conference on Systems, Man and Cyberneticsen_US
dc.subjectChinese Recognitionen_US
dc.subjectData Miningen_US
dc.subjectLanguage Modelen_US
dc.subjectPattern Recognitionen_US
dc.titleExtended multi-word trigger pair language model using data mining techniqueen_US
dc.typeConference_Paperen_US
dc.identifier.emailChan, KP:kpchan@cs.hku.hken_US
dc.identifier.authorityChan, KP=rp00092en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0242661358en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0242661358&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume1en_US
dc.identifier.spage262en_US
dc.identifier.epage267en_US
dc.identifier.scopusauthoridChen, Y=7601437873en_US
dc.identifier.scopusauthoridChan, KP=7406032820en_US

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