NDLI: Proposed Myanmar Word Tokenizer based on LIPIDIPIKAR treatise

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2009 International Conference on Computer Engineering and Technology

Proposed Myanmar Word Tokenizer based on LIPIDIPIKAR treatise

Content Provider	IEEE Xplore Digital Library
Author	Thein Than Thwin Thida Win, A. Phyo Phyo Wai Mie Mie Su Thwin
Copyright Year	2010
Description	Author affiliation: University of Computer Studies, Mandalay, Myanmar (Thein Than Thwin; Thida Win, A.; Phyo Phyo Wai; Mie Mie Su Thwin)
Abstract	Natural Language Processing (NLP) based technologies are now becoming important and future intelligent systems will use more of these techniques as the technology is improving explosively. But Asia becomes a dense area in NLP field because of linguistic diversity. Many Asian languages are inadequately supported on computers. Myanmar language is an analytic language but it includes special character like killer, medial, etc.. In English or European languages, all of the syllables are formed by combining the alphabets that represent only consonants and vowels but Myanmar language uses compound syllables that make more difficult to analyze. So we can face difficulties in word sorting. In our proposed system, the condensed form of Myanmar ordinary scripts will be transformed into analyzable elaborated scripts based on LIPIDIPIKAR treatise written by Yaw Min Gyi U Pho Hlaing. These elaborated words can be easily sorted by using this treatise. In our proposed system, complexity of Myanmar condensed words sorting compared with complexity of elaborated words sorting.
File Size	281508
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5485313
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Unicode Transducers Natural languages Condensed form Speech synthesis Sorting Databases NLP Asia Diversity reception Elaborated form Introduction Writing Natural language processing Intelligent systems Phonetic token
Content Type	Text
Resource Type	Article

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