Motivated by phrase-based translation research, we present a transliteration system where characters are grouped into substrings to be mapped atomically into the target language. We show how this substring representation can be incorporated into a Conditional Random Field model that uses local context and phonemic information.
Substring-based Transliteration with Conditional Random Fields
Published 2009 in NEWS@IJCNLP
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- Publication year
2009
- Venue
NEWS@IJCNLP
- Publication date
2009-08-07
- Fields of study
Linguistics, Computer Science
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