Transliteration Generation and Mining with Limited Training Resources

@inproceedings{Jiampojamarn2010TransliterationGA,
  title={Transliteration Generation and Mining with Limited Training Resources},
  author={Sittichai Jiampojamarn and Kenneth Dwyer and Shane Bergsma and Aditya Bhargava and Q Ping Dou and Mi-Young Kim and Grzegorz Kondrak},
  booktitle={NEWS@ACL},
  year={2010}
}
We present DIRECTL+: an online discriminative sequence prediction model based on many-to-many alignments, which is further augmented by the incorporation of joint n-gram features. Experimental results show improvement over the results achieved by D IRECTL in 2009. We also explore a number of diverse resource-free and language-independent approaches to transliteration mining, which range from simple to sophisticated. 
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