Publication:
SIGNMT: An alternative sign-text MT for language learning

dc.contributor.authorNadh Ditcharoenen_US
dc.contributor.authorKanlaya Naruedomkulen_US
dc.contributor.authorNick Cerconeen_US
dc.contributor.otherFaculty of Scienceen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherYork Universityen_US
dc.date.accessioned2018-10-19T04:50:48Z
dc.date.available2018-10-19T04:50:48Z
dc.date.issued2013-12-01en_US
dc.description.abstractWe present the SIGNMT, Thai Sign to Thai machine translation system, which is able to translate from Thai sign language into Thai text. In the translation process, SIGNMT takes into account the differences between Thai and Thai sign language in terms of both syntax and semantic to ensure the accuracy of translation. SIGNMT was designed to be not only an automatic interpreter but also a language learning tool. It provides the meaning of each word in both text and image forms which is easy to understand for the deaf. The grammar information and the order of the sentence are presented in order to help the deaf in learning Thai, their second language. SIGNMT was designed to support individual learning. With SIGNMT, deaf students are less dependent on a teacher, have more freedom to experiment with their own language and improve their knowledge and learning skills. The SIGNMT system was tested and evaluated in terms of translation accuracy and user satisfaction. The evaluation results show that the translation accuracy is acceptable and it satisfies the users' needs. © 2013 The authors and IOS Press. All rights reserved.en_US
dc.identifier.citationFrontiers in Artificial Intelligence and Applications. Vol.253, (2013), 65-82en_US
dc.identifier.doi10.3233/978-1-61499-258-5-65en_US
dc.identifier.issn09226389en_US
dc.identifier.other2-s2.0-84894540283en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/31605
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894540283&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleSIGNMT: An alternative sign-text MT for language learningen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894540283&origin=inwarden_US

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