Improve Latent Semantic Analysis based language model by integrating multiple level knowledge

7th International Conference on Spoken Language Processing, ICSLP 2002

Volumn , Issue , 2002, Pages 893-896

  Zhang, Rong ^a   Rudnicky, Alexander I ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MODELING LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

LANGUAGE MODEL; LATENT SEMANTIC ANALYSIS; MULTIPLE LEVELS; NATURAL LANGUAGES; SEMANTIC REPRESENTATION; STATISTICAL SCHEME; TRIGRAM MODEL; WALL STREET JOURNAL;

COMPUTATIONAL LINGUISTICS;

EID: 85009282006     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. Jerome R. Bellegarda, "A multi-span language modeling framework for large vocabulary speech recognition", IEEE Trans. on Speech and Audio Processing, vol. 6, no. 5, pp. 456-467, Sept. 1998.
3. Jerome R. Bellegarda, "Large vocabulary speech recognition with multi-span statistical language models", IEEE Trans. on Speech and Audio Processing, vol. 8, no. 1, pp. 76-84, Jan. 2000.
4. Jerome R. Bellegarda, "Exploiting latent semantic information in statistical language modeling", Proc. of IEEE, vol. 88, no. 8, pp. 1279-1296, Aug. 2000.
5. Noah Coccaro and Daniel Jurafsky, "Towards better integration of semantic predictors in statistical language modeling", Proc. of ICSLP-1998, Volume 6, 2403-2406.
6. Yoshua Bengio, Rejean Ducharme, and Pascal Vincent, "A neural probabilistic language model", Advances in Neural Information Processing Systems, 2001.
7. Ricardo Baeza-Yates and Berthier Ribeiro-Neto, "Modern information retrieval", Addison-Wesley, 2000.
8. Wei Xu and Alexander I. Rudnicky, "Can artificial neural networks learn language models", Proc. of ICSLP-2000.