Comparing SMT methods for automatic generation of pronunciation variants

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6233 LNAI, Issue , 2010, Pages 167-178

  Karanasou, Panagiota ^a   Lamel, Lori ^a  

^a CNRS   (France)

Author keywords

Moses; P2P conversion; pivot paraphrasing; pronunciation lexicon; SMT

Indexed keywords

MOSES; P2P CONVERSION; PIVOT PARAPHRASING; PRONUNCIATION LEXICON; SMT;

COMPUTATIONAL LINGUISTICS; INFORMATION THEORY; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH RECOGNITION;

SPEECH TRANSMISSION;

EID: 77956597632     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14770-8_20     Document Type: Conference Paper

References (17)

1. Adda-Decker, M., Lamel, L.: Pronunciation variants across system configuration, language and speaking style. Speech Communication 29, 83-98 (1999)
2. Bannard, C., Callison-Burch, C.: Paraphrasing with bilingual parallel corpora. In: Proc. of ACL, pp. 597-604 (2005)
3. Divay, M., Vitale, A.-J.: Algorithms for grapheme-phoneme translation for English and French: Applications for database searches and speech synthesis. Computational linguistics 23(4), 495-523 (1997)
4. Fukada, T., Yoshimura, T., Sagisaka, Y.: Automatic generation of multiple pronunciations based on neural networks. Speech Communication 27(1), 63-73 (1999)
5. Gerosa, M., Federico, M.: Coping with out-of-vocabulary words: open versus huge vocabulary ASR. In: ICASSP, pp. 4313-4316 (2009)
6. Heuvel, H., van de Reveil B., Martens, J.-P.: Pronunciation-based ASR for names. In: Proc. of Interspeech, pp. 2991-2994 (2009)
7. Koehn, P., et al.: Moses: Open source toolkit for statistical machine translation. In: Proc. of ACL (2007)
8. Lamel, L., Adda, G.: On designing pronunciation lexicons for large vocabulary, continuous speech recognition. In: Proc. ICSLP 1996, pp. 6-9 (1996)
9. Laurent, A., Deleglise, P., Meignier, S.: Grapheme to phoneme conversion using a SMT system. In: Proc. of Interspeech (2009)
10. Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: Bleu: a method for automatic evaluation of machine translation. In: Proc. of ACL, pp. 311-318 (2002)
11. Quirk, C., Brockett, C., Dolan, W.: Monolingual Machine Translation for Paraphrase Generation. In: Proc. of EMNLP, pp. 142-149 (2004)
12. Spiegel, M.F.: Using the ORATOR synthesizer for a public reverse-directory service: design, lessons, and recommendations. In: EUROSPEECH 1993, pp. 1897- 1900 (1993)
13. Stolcke, A.: SRILM-An extensible language modeling toolkit. In: Proc. ICSLP 2002, vol.2, pp. 901-904 (2002)
14. Tsai, M.-Y., Chou, F.-C., Lee, L.-S.: Pronunciation modeling with reduced confusion for mandarin chinese using a three-stage framework. IEEE Transactions on Audio, Speech and Language Processing 15(2), 661-675 (2007)
15. Van Rijsbergen, C.J.: Information Retrieval. Butterworths, London (1979)
16. Weintraub, M., Fosler, E., Galles, C., Kao, Y.-H., Khudanpur, S., Saraclar, M., Wegmann, S.:WS96 project report:Automatic learning of word pronunciation from data. In: JHU Workshop Pronunciation Group (1996)
17. Wester, M.: Pronunciation modeling for ASR- Knowledge-based and data-driven methods. Comput. Speech Lang., 69-85 (2003)