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dc.contributor.advisorOhm Sornil
dc.contributor.authorChonlasith Jucksriporn
dc.date.accessioned2019-01-28T08:50:23Z
dc.date.available2019-01-28T08:50:23Z
dc.date.issued2014
dc.identifierb192203th
dc.identifier.urihttp://repository.nida.ac.th/handle/662723737/4125
dc.descriptionDissertations (Ph.D. (Computer Science))National Institute of Development Administration, 2014th
dc.description.abstractHomophones are words with similar sound. Searching for homophones is not only looking for the words with similar spelling, but it should also be looking for the words with similar pronunciation. Specifically in Thai, some consonant clusters can be pronounced in different ways, such as // can be pronounced as // or // depending on cach particular word. This makes Thoi word pronunciation and dictation more dilliculi Thai sounder could not handle these consonant clusters properly: for example, many Thai soundex methods showed cncoded results of a consonant cluster /n/ in the name w as with the letter which does not represent the correct initial consonant sound, lol.Homophones are words with similar sound. Searching for homophones is not only looking for the words with similar spelling, but it should also be looking for the words with similar pronunciation. Specifically in Thai, some consonant clusters can be pronounced in different ways, such as // can be pronounced as // or // depending on cach particular word. This makes Thoi word pronunciation and dictation more dilliculi Thai sounder could not handle these consonant clusters properly: for example, many Thai soundex methods showed cncoded results of a consonant cluster /n/ in the name w as with the letter which does not represent the correct initial consonant sound, lol.en
dc.description.abstractThis research proposes a technique to find homophones by calculating the distance between words using their phonetics, instead of spelling. The research also proposes an approach to syllabify word using Thai Minimum Cluster based on trigram statistical model and an improved phonetic representation to resolve ambiguities in Thai standard transcriptionen
dc.description.abstractThe experimental evaluations were performed on a name corpus of Thai people and places. The results show that the proposed method achieves average precision and average recall of 99.8.3%en
dc.format.extent65 leavesth
dc.format.mimetypeapplication/pdfth
dc.language.isoength
dc.publisherNational Institute of Development Administrationth
dc.rightsผลงานนี้เผยแพร่ภายใต้ลิขสิทธิ์ของสถาบันบัณฑิตพัฒนบริหารศาสตร์th
dc.subjectPhonetic distance
dc.subjectPhonetic transcription
dc.subject.otherPhonetic
dc.subject.otherThai language -- Phonetics
dc.titleThai soundex using Thai phonetic distance algorithmth
dc.typeTextth
dc.rights.holderNational Institute of Development Administrationth
mods.genreDissertationen
mods.physicalLocationสถาบันบัณฑิตพัฒนบริหารศาสตร์. สำนักบรรณสารการพัฒนาth
thesis.degree.nameDoctor of Philosophyen
thesis.degree.levelDoctoral
thesis.degree.disciplineComputer Scienceth
thesis.degree.grantorNational Institute of Development Administrationth
thesis.degree.departmentคณะสถิติประยุกต์th


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