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Deniz Yuret and Ergun Biçici. 2009. Modeling Morphologically Rich Languages Using Split Words and Unstructured Dependencies. In ACL-IJCNLP, Singapore, August. [ai.ku, SLM, comp542] pdf pdf google scholar
Deniz Yuret. 2008. Smoothing a Tera-word Language Model. In Proceedings of ACL-08: HLT, Short Papers, pp 141--144, Columbus, Ohio, June. Association for Computational Linguistics. [SLM, cl09bib, ai.ku, comp542] pdf google scholar
Tobias Hawker. 2007. USYD: WSD and Lexical Substitution using the Web1T corpus. In Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007), pp 446--453, Prague, Czech Republic, June. Association for Computational Linguistics. [semeval07.bib, WSD, acl08smoothing, SLM, cl09bib] url google scholar
Deniz Yuret. 2007. KU: Word Sense Disambiguation by Substitution. In Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007), pp 207--214, Prague, Czech Republic, June. Association for Computational Linguistics. [semeval07.bib, WSD, acl08smoothing, SLM, cl09bib, ai.ku, scode] url pdf google scholar
Dan Jurafsky. 2007. Language Modeling. CS224S Lecture Notes. [SLM, comp542] pdf google scholar
Deniz Yuret and Andreas Stolcke. 2007. ngram-discount(7): Notes on the N-gram smoothing implementations in SRILM. [comp542, SLM] url google scholar
Y.W. Teh. 2006. A hierarchical Bayesian language model based on Pitman-Yor processes. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL, pp 985--992. Association for Computational Linguistics, Morristown, NJ, USA. [SLM, acl08smoothing, comp542] pdf google scholar
M. Kurimo, et al. 2006. Unlimited vocabulary speech recognition for agglutinative languages. In Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics. [SLM] pdf google scholar
S. Goldwater, T.L. Griffiths and M. Johnson. 2006. Interpolating between types and tokens by estimating power-law generators. In Advances in Neural Information Processing Systems, vol 18. MIT Press. [SLM, acl08smoothing] pdf google scholar
Thorsten Brants and Alex Franz. 2006. Web 1T 5-gram Version 1. Linguistic Data Consortium, Philadelphia. LDC2006T13. [NLP, semeval07.bib, acl08smoothing, SLM, cl09bib] google scholar
Y. W. Teh . 2006. A Hierarchical Bayesian Language Model based on Pitman-Yor Processes. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pp 985-992. [SLM] pdf google scholar
G. Choueiter, D. Povey, S.F. Chen and G. Zweig. 2006. Morpheme Based Language Modeling for Arabic LVCSR. In ICASSP. [SLM] pdf google scholar
Y. W. Teh . 2006. A Bayesian Interpretation of Interpolated Kneser-Ney, no TRA2/06. School of Computing, National University of Singapore. [SLM] pdf google scholar
T. Hirsimäki, M. Creutz, V. Siivola and M. Kurimo. 2005. Morphologically motivated language models in speech recognition. In Proceedings of International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning. [SLM] pdf google scholar
H. Erdogan, O. Buyuk and K. Oflazer. 2005. Incorporating Language Constraints in Sub-Word Based Speech Recognition. In IEEE Workshop on Automatic Speech Recognition and Understanding. [SLM] pdf google scholar
Kauchak . 2005. Modeling Word Burstiness Using the Dirichlet Distribution. [SLM] pdf google scholar
K. Kirchhoff, et al. 2005. Morphology-based language modeling for Arabic speech recognition. submitted to Computer Speech and Language. [SLM] pdf google scholar
Kevin Duh and Katrin Kirchoff. 2004. Automatic Learning of Language Model Structure. In International Conference on Computational Linguistics. [MT, MTreading, SLM] abstract google scholar
W. Kim and S. Khudanpur. 2003. Cross-Lingual Lexical Triggers in Statistical Language Modeling. In EMNLP. [SLM] pdf google scholar
K. Kirchhoff. 2003. Novel Approaches To Arabic Speech Recognition: Report From The 2002 Johns-Hopkins Summer Workshop. In ICASSP. [SLM] pdf google scholar
V. Siivola, T. Hirsimäki, M. Creutz and M. Kurimo. 2003. Unlimited Vocabulary Speech Recognition Based on Morphs Discovered in an Unsupervised Manner. In Eurospeech. [SLM] pdf google scholar
Andreas Stolcke. 2002. SRILM -- An Extensible Language Modeling Toolkit. In Proc. Int. Conf. Spoken Language Processing (ICSLP 2002). [SLM, comp542] pdf google scholar
Dilek Z. Hakkani-Tür, Kemal Oflazer and Gökhan Tür. 2002. Statistical Morphological Disambiguation for Agglutinative Languages. Computers and the Humanities, vol 36, pp 381--410. [NLP, SLM] pdf google scholar
Joshua Goodman. 2001. A Bit of Progress in Language Modeling. Computer Speech and Language, pp 403--434, October. [SLM, acl08smoothing, cl09bib] pdf google scholar
Ciprian Chelba. 2001. Portability of syntactic structure for language modeling. [SLM] ps google scholar
Joshua Goodman. 2001. A Bit of Progress in Language Modeling, Extended Version, no MSR-TR-2001-72. Microsoft Research. [SLM, comp542] pdf google scholar
Ronald Rosenfeld. 2000. Two Decades Of Statistical Language Modeling: Where Do We Go From Here. In Proceedings of the IEEE, vol 88, pp 1270--1278. [SLM, cl09bib] pdf google scholar
S.F. Chen and J. Goodman. 1999. An empirical study of smoothing techniques for language modeling. Computer Speech and Language, vol 13, no 4, pp 359--394. Academic Press. [NLP, SLM, acl08smoothing, cl09bib, comp542] pdf google scholar
Stanley F. Chen and Joshua Goodman. 1998. An empirical study of smoothing techniques for language modeling, no TR-10-98. Harvard University. [NLP, SLM] pdf google scholar
Jurafsky . 1998. Towards better integration of semantic predictors in statistical language modeling. [SLM] ps google scholar
Ciprian Chelba and Frederick Jelinek. 1998. Exploiting syntactic structure for language modeling. In ACL 98. [NLP, SLM] ps google scholar
P. Clarkson and R. Rosenfeld. 1997. Statistical language modeling using the CMU-Cambridge toolkit. In Proc. Eurospeech. [SLM] pdf google scholar
Stanley F. Chen and Joshua Goodman. 1996. An Empirical Study of Smoothing Techniques for Language Modeling. In Proceedings of the 34th Annual Meeting of the ACL. [NLP, SLM, semeval07.bib, acl08smoothing, conll08st, nlpcourse] pdf pdf google scholar
R. Rosenfeld. 1996. A Maximum Entropy Approach to Adaptive Statistical Language Modeling. Computer Speech and Language, vol 10, no 3, pp 187--228. [SLM] pdf google scholar
R. Kneser and H. Ney. 1995. Improved backing-off for M-gram language modeling. In International Conference on Acoustics, Speech, and Signal Processing. [acl08smoothing, SLM] google scholar
S. Deligne and F. Bimbot. 1995. Language modeling by variable length sequences: Theoretical formulation and evaluation of multigrams. In Proceedings of the International Conference on Speech and Signal Processing, pp 169--172. [NLP, SLM] google scholar
David J. C. Mackay and Linda C. Bauman Peto. 1995. A hierarchical Dirichlet language model. Natural Language Engineering, vol 1, no 3, pp 1--19. [NLP, SLM, acl08smoothing, comp542] pdf pdf google scholar
William Gale. 1995. Good-Turing Smoothing without Tears. Journal of Quantitative Linguistics, vol 2, no 3. [SLM] pdf google scholar
Ristad . 1995. New Techniques for Context Modeling. [SLM] ps google scholar
R. Rosenfeld. 1994. Adaptive Statistical Language Modeling: A Maximum Entropy Approach, no CMU-CS-94-138. CMU. [SLM] pdf google scholar
Deniz Yuret. 1994. From genetic algorithms to efficient optimization, no 1569. MIT AI Laboratory. [AI, acl08smoothing, SLM, ai.ku] url ps google scholar
H. Ney, U. Essen and R. Kneser. 1994. On structuring probabilistic dependence in stochastic language modelling. Computer Speech and Language, vol 8, no 1, pp 1--38. [acl08smoothing, SLM] google scholar
Rohini Srihari and Charlotte Baltus. 1992. Combining statistical and syntactic methods in recognizing handwritten sentences. In AAAI Symposium: Probabilistic Approaches to Natural Language, pp 121--127. [acl08smoothing, SLM] google scholar
Ute Essen and Volker Steinbiss. 1992. Cooccurance smoothing for stochastic language modeling. [NLP, SLM] google scholar
Peter F. Brown, et al. 1992. An estimate of an upper bound for the entropy of English. Computational Linguistics, vol 18, no 1, pp 31-40. [NLP, SLM] pdf google scholar
Frederick Jelinek, R.L. Mercer and Salim Roukos. 1992. Principles of lexical language modeling for speech recognition. In Advances in Speech Signal Processing, pp 651-699. Marcel Dekker, Inc.. [NLP, SLM] google scholar
Peter F. Brown, et al. 1992. Class-based n-gram models of natural language. Computational Linguistics, vol 18, no 4, pp 467-479. [NLP, SLM, comp542] pdf google scholar
Ronald Rosenfeld and Xuedong Huang. 1992. Improvements in stochastic language modeling. [NLP, SLM] google scholar
Frederick Jelinek. 1991. Up from Trigrams! - The Struggle for Improved Language Models. In Eurospeech. [SLM] pdf google scholar
Mark D. Kernighan, Kenneth Church and William A. Gale. 1990. A spelling correction program based on a noisy channel model. In Proceedings of the Thirteenth International Conference on Computational Linguistics, pp 205--210. [NLP, acl08smoothing, SLM] google scholar
Peter F. Brown, John Cocke, Stephen A. Della Pietra, Vincent J. Della Pietra, Frederick Jelinek, John D. Lafferty, Robert L. Mercer and Paul S. Roossin. 1990. A statistical approach to machine translation. Computational Linguistics, vol 16, no 2, pp 79-85. [NLP, acl08smoothing, SLM, cl09bib] google scholar
Slava M. Katz. 1987. Estimation of probabilities from sparse data for the language model component of a speech recognizer. IEEE Transactions on Acoustics, Speech and Signal Processing, vol 35, no 3, pp 400-401, March. [acl08smoothing, SLM] pdf google scholar
Frederick Jelinek. 1985. Markov source modeling of text generation. In The Impact of Processing Techniques on Communications, pp 569--598. Martinus Nijhoff. [NLP, SLM] google scholar
Lalit R. Bahl, Frederick Jelinek and Robert L. Mercer. 1983. A maximum likelihood approach to continuous speech recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 5, no 2, pp 179-190. [NLP, acl08smoothing, SLM, cl09bib] google scholar
Frederick Jelinek and Robert L. Mercer. 1980. Interpolated estimation of Markov source parameters from sparse data. In Proceedings of the Workshop on Pattern Recognition in Practice. [acl08smoothing, SLM] google scholar
Thomas M. Cover and Roger C. King. 1978. A Convergent Gambling Estimate of the Entropy of English. IEEE Transactions on Information Theory, vol 24, no 4, pp 413--421, July. [SLM, NLP, semeval07.bib] pdf google scholar
Henry Kucera and W. Nelson Francis. 1967. Computational Analysis of Present-Day American English. Brown University Press. [book.language, semeval07.bib, acl08smoothing, SLM, cl09bib] google scholar books
I.J. Good. 1953. The population frequencies of species and the estimation of population parameters. Biometrika, vol 40, pp 237-264. [NLP, acl08smoothing, SLM] google scholar
Claude Elwood Shannon. 1951. Prediction and Entropy of Printed English. The Bell System Technical Journal, vol 30, pp 50-64. [NLP, SLM, semeval07.bib] pdf google scholar

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