Abstract
In this paper, the automatic diacritization of a language is modeled as a statistical syntax-based machine translation problem with the source undiacritized text and the target diacritized text of the same language. The grammatical inference technique ABL proposed in [2] is extended for learning a probabilistic synchronous context-free grammar from training corpus containing plain diacritized sentences only. The diacritization is to parse input sentences by the probabilistic CKY parsing algorithm for received grammar. This method is applied to Vietnamese with high quality result. As language independent building way, it can be applied to the other languages.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
