Sentence recognition through hybrid neuro-Markovian modeling

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2001-January, Issue , 2001, Pages 731-735

  Marukatat, S ^a   Artieres T ^a   Gallinari, P ^a   Dorizzi, B ^b  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

^b INSTITUT NATIONAL DES TÉLÉCOMMUNICATIONS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; MARKOV PROCESSES; TREES (MATHEMATICS);

BEAM SEARCH ALGORITHMS; EMISSION PROBABILITIES; HANDWRITING RECOGNITION; HIDDEN MARKOV MODELS (HMMS); INTERNATIONAL DATABASE; NEURAL NETWORKS (NNS); ON-LINE HANDWRITINGS; SENTENCE RECOGNITION;

CHARACTER RECOGNITION;

EID: 33947261394     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2001.953886     Document Type: Conference Paper

References (17)

1. Y. Bengio and Y. LeCun. Word normalization for online handwritten word recognition. In International Conference on Pattern Recognition (ICPR), Volume 2, pages 409-413, Jerusalem, 1994.
2. Y. Bengio, Y LeCun, C. Nohl, and C. Burges. LeRec: a NN/HMM hybrid for on-line handwriting recognition. Neural Computation, 7(5): 1289-1303, 1995.
3. P. R. Clarkson and R. Rosenfeld. Statistical Language Modeling Using the CMU-Cambridge Toolkit. In European Conference on Speech Communication and Technology (EU-ROSPEECH), pages 2707-2710, Rhodes, Greece, September 1997.
4. S. Garcia-Salicetti, P. Gallinari, B. Dorrizi, A. Mellouk, and D. Fanchon. A Hidden Markov Model extension of a neural predictive system for on-line character recognition. In International Conference on Document Analysis and Recognition (ICDAR), Volume 1, pages 50-53, Montréal, Canada, August 1995.
5. I. Guyon and F. Pereira. Design of a linguistic postprocessor using variable memory length Markov models. In International Conference on Document Analysis and Recognition (ICDAR), Volume 1, pages 454-457, Montréal, Canada, August 1995.
6. I. Guyon, L. Schomaker, R. Plamondon, M. Liberman, and S. Janet. UNIPEN project of on-line data exchange and recognizer benrchmak. In International Conference on Pattern Recognition (ICPR), Volume 2, pages 29-33, Jerusalem, Israel, October 1994.
7. J. Hu, S. G. Lim, and M. K. Brown. Writer independent on-line handwriting recognition using an HMM approach. Pattern Recognition, 33(1):133-148, January 2000.
8. F. Jelinek. Statistical Methods For Speech Recognition. MIT Press, 1997.
9. B.-H. Juang and L. R. Rabiner. The Segmental K-Means algorithm for estimating parameters of Hidden Markov Models. IEEE Transactions on Acoustics, Speech, and Signal Processing, 38(9):1639-1641, September 1990.
10. S. Manke, M. Finke, and A. Waibel. NPen++: a writer-independent, large vocabulary on-line handwriting recognition system. In International Conference on Document Analysis and Recognition (ICDAR), Volume 1, pages 403-408, Montréal, Canada, August 1995.
11. S. Manke, M. Finke, and A. Waibel. A fast search technique for large vocabulary on-line handwriting recognition. In International Workshop on Frontiers in Handwriting Recognition (IWFHR), pages 183-188, Essex, England, September 1996.
12. H. Ney and X. Aubert. Automatic Speech and Speaker Recognition, chapter 16, Dynamic programming search strategies: From digit strings to large vocabulary word graph, pages 385-411. Kluwer Academic Publishers, 1996.
13. M. Oerder and H. Ney. Word graphs: An efficient interface between continuous-speech recognition and language understanding. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Volume 2, pages 119-122, Minneapolis, USA, April 1993.
14. R. Plamondon, S. Clergeau, and C. Barriere. Handwritten Sentence Recognition: From Signal To Syntax. In International Conference on Pattern Recognition (ICPR), Volume 2, pages 117-122, Jerusalem, Israel, October 1994.
15. G. Sampson. THE SUSANNE CORPUS: Documentation. http://www.cogs.susx.ac.uk/users/geoffs/SueDoc.html.
16. M. Schenkel, I. Guyon, and D. Henderson. On-line cursive script recognition using Time Delay Neural Networks and Hidden Markov Models. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Volume 2, pages 637-640, Adelaide, South Australia, April 1994.
17. R. Srihari and C. Baltus. Incorporating syntactic constraints in recognizing handwritten sentences. In International Joint Conference on Artificial Intelligence (IJCAI), Volume 2, pages 1262-1267, Chambery, France, August 1993.