Whitepaper of NEWS 2010 shared task on transliteration generation

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2010, Pages 12-20

  Li, Haizhou ^a   Kumaran, A ^b   Zhang, Min ^a   Pervouchine, Vladimir ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

BENCHMARKING PLATFORMS; CROSS LANGUAGES; LEXICON ACQUISITION; MACHINE TRANSLATIONS; MACHINE TRANSLITERATION; NAMED ENTITIES; PERFORMANCE; STATE-OF-THE-ART TECHNOLOGY; SYSTEM CALLS;

TRANSLATION (LANGUAGES);

EID: 84926339078     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. CJKI. 2010. CJK Institute. http://www.cjk.org/.
2. Haizhou Li, Min Zhang, and Jian Su. 2004. A joint source-channel model for machine transliteration. In Proc. 42nd ACL Annual Meeting, pages 159-166, Barcelona, Spain.
3. MSRI. 2010. Microsoft Research India. http://research.microsoft.com/india.