NEWS 2009 machine transliteration shared task system description: transliteration with letter-to-phoneme technology

Authors:
Colin Cherry;Hisami Suzuki
Affiliations:
Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA
Venue:
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
Year:
2009

Citing 5
Cited 0

Machine transliteration

Computational Linguistics
Discriminative training methods for hidden Markov models: theory and experiments with perceptron algorithms

EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Named entity transliteration and discovery from multilingual comparable corpora

HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
A generic framework for machine transliteration

SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Report of NEWS 2009 machine transliteration shared task

NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration

Quantified Score

Hi-index	0.01

Visualization

Abstract

We interpret the problem of transliterating English named entities into Hindi or Japanese Katakana as a variant of the letter-to-phoneme (L2P) subtask of text-to-speech processing. Therefore, we apply a re-implementation of a state-of-the-art, discriminative L2P system (Jiampojamarn et al., 2008) to the problem, without further modification. In doing so, we hope to provide a baseline for the NEWS 2009 Machine Transliteration Shared Task (Li et al., 2009), indicating how much can be achieved without transliteration-specific technology. This paper briefly summarizes the original work and our reimplementation. We also describe a bug in our submitted implementation, and provide updated results on the development and test sets.