B. Références, U. Uhrik, C. Et, W. , and W. , Confidence metrics based on n-gram language model backoff behaviors, Proc. EUROSPEECH, pp.2771-2774, 1997.

B. , J. A. Et, K. , and K. , Factored language models and generalized parallel backoff, Proceedings of HLT/NACCL, pp.4-6, 2003.

P. F. Brown, V. J. Pietra, P. V. Desouza, J. C. Lai, M. Et et al., Class-based n-gram models of natural language, Computational Linguistics, vol.18, pp.18-22, 1990.

C. , S. Et, G. , and J. , An empirical study of smoothing techniques for language modeling. Computer speech and language, pp.359-394, 1999.

D. , I. Lee, L. Et, P. , and F. C. , Similarity-based models of word cooccurrence probabilities, Machine Learning, pp.34-35, 1999.

K. , R. Et, N. , and H. , Improved backing-off for m-gram language modeling, Proc. Int Acoustics, Speech, and Signal Processing ICASSP-95. Conf, pp.181-184, 1995.

N. , P. Fredouille, C. Linares, G. Matrouf, D. Meignier et al., The lia's french broadcast news transcription system, SWIM : Lectures by Masters in Speech Processing, 2004.

R. , R. Et, H. , and X. , Improvements in stochastic language modeling, HLT '91 : Proceedings of the workshop on Speech and Natural Language, pp.107-111, 1992.

S. , H. Et, G. , and J. , Connectionist language modeling for large vocabulary continuous speech recognition, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 2002.