Structured language modeling

Computer Speech and Language

Volumn 14, Issue 4, 2000, Pages 283-332

  Chelba, Ciprian ^a   Jelinek, Frederick ^a  

^a Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; LINGUISTICS; MATHEMATICAL TECHNIQUES;

AUTOMATIC PARSING; STRUCTURED LANGUAGE MODELING;

SPEECH RECOGNITION;

EID: 0034295822     PISSN: 08852308     EISSN: None     Source Type: Journal    
DOI: 10.1006/csla.2000.0147     Document Type: Article

References (31)

1. Abney S., McAllester D., Pereira F. Relating probabilistic grammars and automata. Proceedings of ACL, College Park, MD, U.S.A. 1999;. p. 541-549.
2. Bellegarda J. R. A latent semantic analysis framework for large-span language modeling. Proceedings of Eurospeech 97, Rhodes, Greece. 1997;. p. 1451-1454.
3. Berger A. L., Della Pietra S. A., Della Pietra V. J. A maximum entropy approach to natural language processing. Computational Linguistics. 22:1996;39-72.
4. Brown P., Della Pietra V., deSouza P., Lai J., Mercer R. Class-based n -gram models of natural language. Computational Linguistics. 18:1997;467-479.
5. W. Byrne, A. Gunawardana, S. Khudanpur, 1998, Department of Electical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, U.S.A.
6. Charniak E. Statistical parsing with a context-free grammar and word statistics. Proceedings of the Fourteenth National Conference on Artificial Intelligence. 1997;AAAI Press/MIT Press, Menlo Park, CA. p. 598-603.
7. Chelba C. A structured language model. Proceedings of ACL-EACL, Madrid, Spain. 1997;. p. 498-500.
8. Chelba et al. C. Structure and performance of a dependency language model. Proceedings of Eurospeech, Rhodes, Greece. 1997;. p. 2775-2778.
9. Chelba C., Jelinek F. Exploiting syntactic structure for language modeling. Proceedings of COLING-ACL, Montreal, Canada, volume 1. 1998;. p. 225-231.
10. CLSP. WS97. Proceedings of the 1997 CLSP/JHU Workshop on Innovative Techniques for Large Vocabulary Continuous Speech Recognition, Baltimore, MD, July-August 1997. 1997.
11. Collins M. J. A new statistical parser based on bigram lexical dependencies. Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics, Santa Cruz, CA. 1996;. p. 184-191.
12. S. Della Pietra, V. Della Pietra, J. Gillet, J. Lafferty, H. Printz, L. Ures, 1994, School of Computer Science, Carnegie Mellon University, Pittsburg, PA, U.S.A.
13. Dempster A. P., Laird N. M., Rubin D. B. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society. 39B:1977;1-38.
14. Doug B. Paul, Janet M. Baker. The design for the Wall Street Journal-based CSR corpus. Proceedings of the DARPA SLS Workshop. 1992.
15. Godfrey J. J., Holliman E. C., McDaniel J. SWITCHBOARD telephone speech corpus for research and development. Proceedings of IEEE Conference on Acoustics, Speech and Signal Processing, San Francisco. 1992;. p. 517-520.
16. Grenadier U., Mark K. E., Miller M. I. Constrained stochastic language models. Levinson S. E., Shepp L. Image Models (and their Speech Model Cousins). 1996;131-137 Springer, New York.
17. Haegeman L. Introduction to Government and Binding Theory. 1994;Blackwell, Oxford, UK and Cambridge, MA. p. pp. 138-141.
18. Jelinek F. Statistical Methods for Speech Recognition. 1998;MIT Press, Cambridge, Massachusetts and London, England.
19. Jelinek F., Chelba C. Putting language into language modeling. 1999.
20. Jelinek F., Mercer R. Gelsema E., Kanal L. Interpolated estimation of Markov source parameters from sparse data. 1980;pp. 381-397 North Holland, Amsterdam.
21. Jelinek F., Lafferty J., Magerman D. M., Mercer R., Ratnaparkhi A., Roukos S. Decision tree parsing using a hidden derivational model. Proceedings of the Human Language Technology Workshop. 1994;. p. 272-277.
22. Jelinek F., Mercer R. L., Bahl L. R., Baker J. K. Perplexity - a measure of difficulty of speech recognition tasks. Journal of the Acoustic Society of America. 62, S63, Supplement 1:1977.
23. Jelinek F., Mercer R. L. Proceedings of the Workshop on Pattern Recognition in Practice (deleted interpolation for n-gram models). 1980;North Holland, Amsterdam. p. 381-397.
24. Marcus M., Santorini B., Marcinkiewicz M. Building a large annotated corpus of English: the Penn Treebank. Computational Linguistics. 19:1995;313-330.
25. Ney H., Aubert X., Dugast C., Steinbiss V. Large vocabulary continuous speech recognition of Wall Street Journal data. Proceedings of the International Conference on Acoustics, Speech and Signal Processing'94, Adelaide, Australia. 1994;. p. 129-132.
26. Nilsson N. Problem Solving Methods in Artificial Intelligence. 1971;McGraw-Hill, New York. p. pp. 266-278.
27. Ratnaparkhi A. A linear observed time statistical parser based on maximum entropy models. Second Conference on Empirical Methods in Natural Language Processing, Providence, RI, U.S.A. 1997;. p. 1-10.
28. R. Rosenfeld, 1994.
29. Saul L., Pereira F. Aggregate and mixed-order markov models for statistical language processing. Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, San Francisco, CA, U.S.A. 1997;. p. 81-89.
30. Viterbi A. J. Error bounds for convolutional codes and an asymmetrically optimum decoding algorithm. IEEE Transactions on Information Theory. IT-13:1967;260-267.
31. Wu J., Khudanpur S. Combining nonlocal, syntactic and n -gram dependencies in language modeling. Proceedings of Eurospeech'99, Budapest, Hungary. 1999;. p. 1567-1570.