Document clustering for the improvement of language models

ITG-Fachbericht

Volumn , Issue 139, 1996, Pages 59-63

  Peters, Jochen ^a  

^a PHILIPS RESEARCH LABORATORIES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0040813696     PISSN: 09326022     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (9)

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2. T. M. Cover and J. A. Thomas. Elements of Information Theory. John Wiley & Sons, 1991.
3. R. O. Duda and P. E. Hart. Pattern classification and scene analysis, chapter 6.6-6.14. John Wiley & Sons, 1973.
4. F. Jelinek. Self-organized language modeling for speech recognition. In A. Waibel and K.-F. Lee, editors, Readings in Speech Recognition, pages 450-506. Morgan Kaufman Publishers, 1991.
5. F. Jelinek and R. Mercer. Interpolated estimation of Markov source parameters from sparse data. In E. S. Gelsema and L. N. Kanal, editors, Pattern Recognition in Practice, pages 381-397. North Holland Publ. Comp., 1980.
6. R. Kneser and V. Steinbiss. On the dynamic adaptation of stochastic language models. In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, volume II, pages 586-589, Minneapolis, MN, Apr. 1993.
7. H. Ney, U. Essen, and R. Kneser. On structuring probabilistic dependencies in stochastic language modelling. Computer Speech and Language, 8:1-38, 1994.
8. H. Ney, V. Steinbiss, R. Haeb-Umbach, B.-H. Tran, and U. Essen. An overview of the Philips research system for large-vocabulary continuous-speech recognition. Int. Journal of Pattern Recognition and Artificial Intelligence, Special Issue on Speech Recognition for Different Languages, 1994.
9. V. Steinbiss, H. Ney, U. Essen, B.-H. Tran, X. Aubert, C. Dugast, H.-G. Meier, M. Oerder, R. Haeb-Umbach, D. Geller, W. Höllerbauer, and H. Bartosik. Continuous speech dictation - from theory to practice. In Speech Communication 730, volume 17(1-2), pages 19-38, Amsterdam, North-Holland, Aug. 1995.