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Rule based automated pronunciation generator

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dc.contributor.author Mosaddeque, Ayesha Binte
dc.contributor.author UzZaman, Naushad
dc.contributor.author Khan, Mumit
dc.date.accessioned 2010-10-24T08:21:55Z
dc.date.available 2010-10-24T08:21:55Z
dc.date.issued 2006
dc.identifier.uri http://hdl.handle.net/10361/632
dc.description.abstract This paper presents a rule based ronunciation generator for Bangla words. It takes a word and finds the pronunciations for the graphemes of the word. A grapheme is a unit in writing that cannot be analyzed into smaller components. Resolving the pronunciation of a polyphone grapheme (i.e. a grapheme that generates more than one phoneme) is the major hurdle that the Automated Pronunciation Generator (APG) encounters. Bangla is partially phonetic in nature, thus we can define rules to handle most of the cases. Besides, up till now we lack a balanced corpus which could be used for a statistical pronunciation generator. As a result, for the time being a rule-based approach towards implementing the APG for Bangla turns out to be efficient. en_US
dc.language.iso en en_US
dc.publisher Center for research on Bangla language processing (CRBLP), BRAC University en_US
dc.title Rule based automated pronunciation generator en_US
dc.type Article en_US


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