Maximum mutual information and conditional maximum likelihood estimations of stochastic regular syntax-directed translation schemes

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

Volumn 1147, Issue , 1996, Pages 282-291

  Casacuberta, F ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GRAMMARS; MAXIMUM LIKELIHOOD; PATTERN RECOGNITION; STEREOPHONIC BROADCASTING; STOCHASTIC SYSTEMS; SYNTACTICS;

CONDITIONAL MAXIMUM LIKELIHOODS; MAXIMUM MUTUAL INFORMATION; PATTERN RECOGNITION PROBLEMS; STATISTICAL PARAMETERS; SYNTAX-DIRECTED TRANSLATIONS; TRAINING DATA;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 84958960529     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0033362     Document Type: Conference Paper

References (15)

1. L.R. Bahl, F. Jelinek, R.L. Mercer: A Maximum Likelihood Approach to Continuous Speech Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 5 (2). pp. 179-196. 1983.
2. L.E. Baum: An Inequality and Associated Maximization Technique in Statistical Estimation for Probabilistic Functions of Markov Processes. Inequalities. Vol. 3, pp. 1-8. 1972.
3. P.F. Brown: The Acoustic-Modeling Problem in Automatic Speech Recognition. Ph.D. dissertation. Dept. Comput. Sci. Carnegi-Mellon Univ. Pittsburgh, PA. 1987.
4. R. Cardin, Y. Normandin, R. DeMori: High Performance Connected Digit Recogntion using Maximum Mutual Information Estimation. IEEE Trans. on Speech and Audio processing. Vol. 2 (2). pp 300-311. 1994.
5. F. Casacuberta: Probabilistic Estimation of Stochastic Regular Syntax-Directed Translation Schemes Proc. of the VI Spanish Symposium on Pattern Recognition and Image Analysis. pp. 201-207. 1995
6. F. Casacuberta. Growth Transformations for Probabilistic Functions of Stochastic Grammars. International Journal on Pattern Recognition and Artificial Intelligence. Vol. 10. No. 3. 1996.
7. F. Casacuberta, C. de la Higuera Some Difficult Problems in Pattern Recognition. To be published. 1996.
8. K.S. Fu: Syntactic Pattern Recognition and Applications. Ed. Prentice-Hall. 1982.
9. R. Gansner, E. Koutsofios, S.C. North, K.P. Vo: A Technique for Drawing Directed Graphs.. IEEE Trans. Software Engineering. March, 1993.
10. R.C. Gonzalez, M.G. Thomason:Syntactic Pattern Recognition: An Introduction. Ed. Addison-Wesley. 1978.
11. P.S Goplakrishnan, D. Kanevsky, A. Nadas, D. Nahamoo: An Inequality for rational Functions with Applications to some Statistical Estimation Problems. IEEE Trans. Information Theory. Vol. IT-37 (1). pp 107-113. 1991.
12. A. Nadas, D. Hahamoo, M. Picherny: On a Model-Robust Training Method for Speech Recognition. Trans. on Acoustic, speech and Signal Processing. Vol. 36 (9), pp 1432-1435. 1988
13. J. Oncina, P. Garcia and E. Vidal: Learning Subsequential Transducers for Pattern Recognition Interpretation Tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence, May 1993.
14. L.R. Rabiner. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE, 77, pp. 257-286, 1989.
15. E. Vidal, F. Casacuberta, P. Garía: Grammatical Inference and Speech Recognition in New Advances and Trends in Speech Recognition and Coding. NATO ASI Series. pp. 174-191. Springer-Verlag. 1995.