Machine Transliteration using Target-Language Grapheme and Phoneme: Multi-engine Transliteration Approach

@inproceedings{Oh2009MachineTU,
  title={Machine Transliteration using Target-Language Grapheme and Phoneme: Multi-engine Transliteration Approach},
  author={Jong-Hoon Oh and Kiyotaka Uchimoto and Kentaro Torisawa},
  booktitle={NEWS@IJCNLP},
  year={2009}
}
This paper describes our approach to “NEWS 2009 Machine Transliteration Shared Task.” We built multiple transliteration engines based on different combinations of two transliteration models and three machine learning algorithms. Then, the outputs from these transliteration engines were combined using re-ranking functions. Our method was applied to all language pairs in “NEWS 2009 Machine Transliteration Shared Task.” The official results of our standard runs were ranked the best for four… CONTINUE READING

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
13 Extracted Citations
12 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 13 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 12 references

Report on NEWS 2009 machine transliteration shared task

  • Haizhou Li, A Kumaran, Vladimir Pervouchine, Min Zhang.
  • Proc. of ACL-IJCNLP 2009 Named Entities Workshop.
  • 2009
Highly Influential
5 Excerpts

http://www

  • The CJK Dictionary Institute.
  • cjk.org.
  • 2009

A discriminative hybrid model for joint Chinese word segmentation and pos tagging

  • Canasai Kruengkrai, Jun’ichi Kazama, Kiyotaka Uchimoto, Kentaro Torisawa, Hitoshi Isahara
  • In Proc. of The 11th Oriental COCOSDA Workshop
  • 2008
1 Excerpt

A comparison of different machine transliteration models

  • Jong-Hoon Oh, Key-Sun Choi, Hitoshi Isahara.
  • Journal of Artificial Intelligence Research (JAIR…
  • 2006
2 Excerpts

Similar Papers

Loading similar papers…