Automatic disfluency removal for improving spoken language translation

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 5214-5217

  Wang, Wen ^a   Tur, Gokhan ^a   Zheng, Jing ^a   Ayan, Necip Fazil ^a  

^a SRI INTERNATIONAL   (United States)

Author keywords

Automatic disfluency detection; Broadcast conversation; Spoken language translation; Statistical machine translation

Indexed keywords

COMPUTATIONAL LINGUISTICS; MACHINE TRANSLATION; SIGNAL PROCESSING; SPEECH RECOGNITION; SPEECH TRANSMISSION;

AUTOMATIC DISFLUENCY DETECTION; BROADCAST CONVERSATION; CONVERSATIONAL SPEECH; DISFLUENCIES; DISFLUENCY DETECTIONS; SPEECH DISFLUENCY; SPOKEN LANGUAGE TRANSLATION; SPOKEN LANGUAGES; STATISTICAL MACHINE TRANSLATION; STATISTICAL MACHINE TRANSLATION SYSTEM;

COMPUTER AIDED LANGUAGE TRANSLATION;

EID: 78049412391     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5494999     Document Type: Conference Paper

References (11)

1. S. Rao, I. Lane, and T. Schultz, "Improving spoken language translation by automatic disfluency removal:Evidence from conversational speech transcripts", in Proceedings of Machine Translation Summit, Copenhagen, 2007.
2. J. Zheng, "SRInterp: SRI's Scalable Multipurpose SMT Engine", Technical report, SRI International, 2008.
3. K. Papineni, S. Roukos, T. Ward, and W. J. Zhu, "BLEU: A method for automatic evaluation of machine translation", in Proceedings of ACL, Philadelphia, PA, 2002.
4. P. Koehn, F. Och, and D. Marcu, "Statistical phrase-based translation", in Proceedings of HLT-NAACL, pp. 127-133, 2003.
5. J. Zheng, N. F. Ayan, W. Wang, and D. Burkett, "Using syntax in large-scale audio document translation", in Proceedings of Interspeech, Brighton, UK, 2009.
6. Y. Liu, E. Shriberg, A. Stolcke, D. Hillard, M. Ostendorf, and M. Harper, "Enriching speech recognition with automatic detection of sentence boundaries and disfluencies", IEEE Transactions on Audio, Speech, and Language Processing, vol. 14, pp. 1526-1540, Sep. 2006, Special Issue on Progress in Rich Transcription.
7. DARPA Information Processing Technology Office, "Effective, affordable, reusable speech-to-text (EARS)", 2003, http://www.darpa.mil/ ipto/programs/ears.
8. W. Wang, Z. Huang, and M. P. Harper, "Semi-supervised learning for part-of-speech tagging of Mandarin transcribed speech", in Proceedings of ICASSP, 2007.
9. A. McCallum, "Mallet: A machine learning for language toolkit", 2002, http://mallet.cs.umass.edu.
10. A. McCallum and W. Li, "Early results for named entity recognition with conditional random fields", in Proceedings of the CoNLL, 2003.
11. M. Snover, B. Dorr, R. Schwartz, L. Micciulla, and J. Makhoul, "A study of translation edit rate with targeted human annotation", in Proceedings of AMTA, 2006.