Statistical Transliteration for Cross Langauge Information Retrieval using HMM alignment and CRF

@inproceedings{Ganesh2008StatisticalTF,
  title={Statistical Transliteration for Cross Langauge Information Retrieval using HMM alignment and CRF},
  author={Sakthi Ganesh and S. P. Harsha and Prasad Pingali and Vasudeva Varma},
  booktitle={IJCNLP 2008},
  year={2008}
}
In this paper we present a statistical transliteration technique that is language independent. This technique uses Hidden Markov Model (HMM) alignment and Conditional Random Fields (CRF), a discriminative model. HMM alignment maximizes the probability of the observed (source, target) word pairs using the expectation maximization algorithm and then the character level alignments (n-gram) are set to maximum posterior predictions of the model. CRF has efficient training and decoding processes… CONTINUE READING

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