A Thai syllable separation algorithm

By: Call Number: AIT Thesis no.CA-83-10 Contributor(s): Material type: TextSeries: Asian Institute of Technology. Thesis ; no. CA-83-10Publication details: Bangkok : Asian Institute of Technology, 1983Description: xi, 95 pSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asian Institute of Technology, 1983 Summary: A Thai syllable separation algorithm is developed and implemented, based on the approach of the syllable structure analysis. The analysis on Thai syllable structures is carried out and consequently rules for syllable boundaries recognition are established. A unique approach is employed to separate every syllables in a given Thai text. The algorithm is implemented using the BASIC programming language on the NEC PC-8001 which is capable to process Thai character. More than 30,000 Thai syllables from different random texts are tested. An acceptable result of around 96% of correctness is obtained.
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20-AIT Publication Asian Institute of Technology Library AIT Publications AIT Thesis no.CA-83-10 (Browse shelf(Opens below)) 1 Available 30050120850721
22-AIT Thesis (Replacement) Asian Institute of Technology Library AIT Publications AIT Thesis no.CA-83-10 (Browse shelf(Opens below)) 3 Available 30050120078208
40-Archives Asian Institute of Technology Library Archives AIT Thesis no.CA-83-10 (Browse shelf(Opens below)) Available 30050160065024

A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Engineering and Technology

Thesis (M.Eng.) - Asian Institute of Technology, 1983

A Thai syllable separation algorithm is developed and implemented, based on the approach of the syllable structure analysis. The analysis on Thai syllable structures is carried out and consequently rules for syllable boundaries recognition are established. A unique approach is employed to separate every syllables in a given Thai text. The algorithm is implemented using the BASIC programming language on the NEC PC-8001 which is capable to process Thai character. More than 30,000 Thai syllables from different random texts are tested. An acceptable result of around 96% of correctness is obtained.

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