Forward-backward modeling in statistical natural concept generation for interlingua-based speech-to-speech translation

2003 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2003

Volumn , Issue , 2003, Pages 646-651

  Gu, Liang ^a   Gao, Yuqing ^a   Picheny, Michael ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MODELING LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH; TRANSLATION (LANGUAGES);

BACKWARD MODELING; CONCEPT GENERATION; CONDITIONAL PROBABILITIES; CONTEXT INFORMATION; FORWARD-AND-BACKWARD; SPEECH TRANSLATION; SPEECH-TO-SPEECH TRANSLATION; STATISTICAL LANGUAGE MODELS;

SPEECH RECOGNITION;

EID: 84946707688     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2003.1318516     Document Type: Conference Paper

References (7)

1. S. Nirenburg, et al, Machine Translation: A Knowledge-Based Approach, Morgan Kaufmann, 1992.
2. Y. Gao, et al, "MARS: A statistical semantic parsing and generation based multilingual automatic translation system", to appear in Machine Translation.
3. L. Gu, et al, "Improving Statistical Natural Concept Generation in Interlingua-based Speech-to-Speech Translation", Eurospeech, 2003.
4. D. Magerman. Natural Language Parsing as Statistical Pattern Recognition, Ph. D. thesis, Stanford Univ., 1994.
5. A. Ratnaparkhi, "Trainable methods for surface natural language generation", First Meeting of the North American Chapter of the Association for computational Linguistics (NAACL), Seattle, Washington, 2000.
6. Bakis, R., "Continuous Speech Recognition via Centisecond Acoustic States", 91st Meeting of the Acoustical Society of America, 1976.
7. K. Papineni, et al, "Bleu: a Method for Automatic Evaluation of Machine Translation", ACL 2002.