Publication:
TSTMT: Step towards an accurate thai sign translation

dc.contributor.authorThammanoon Ditcharoenen_US
dc.contributor.authorNick Gereoneen_US
dc.contributor.authorKanlaya Naruedomkulen_US
dc.contributor.authorBundit Tipakornen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherDalhousie Universityen_US
dc.contributor.otherKing Mongkuts University of Technology Thonburien_US
dc.date.accessioned2018-06-21T08:13:40Z
dc.date.available2018-06-21T08:13:40Z
dc.date.issued2005-12-01en_US
dc.description.abstractWe propose Thai Sign to Thai Machine Translation (TSTMT), an alternative approach to machine translation which is used for translating from Thai sign language into Thai text, TSTMT performs the translation by recognizing an image sequence of signs as sign words and synthesizing a target sentence from those sign words, TSTMT represents a hybrid of image recognition and natural language processing techniques. This approach is comprised of seven modules which are straightforward and extendable. The applications of TSTMT can be used to facilitate learning in deaf people and to help them to communicate with hearing people via their own language. In this paper the idea and initial experiment are presented. © 2005 IEEE.en_US
dc.identifier.citationProceedings - ICMLA 2005: Fourth International Conference on Machine Learning and Applications. Vol.2005, (2005), 305-310en_US
dc.identifier.doi10.1109/ICMLA.2005.67en_US
dc.identifier.other2-s2.0-33847307016en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/16505
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33847307016&origin=inwarden_US
dc.subjectEngineeringen_US
dc.titleTSTMT: Step towards an accurate thai sign translationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33847307016&origin=inwarden_US

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