Web-based possibilistic language models for automatic speech recognition
暂无分享,去创建一个
[1] Thomas Hain,et al. Strategies for Language Model Web-Data Collection , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[2] David Guthrie,et al. Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval , 2010, EMNLP.
[3] L. Zadeh. Fuzzy sets as a basis for a theory of possibility , 1999 .
[4] Richard M. Schwartz,et al. Automatic Detection Of New Words In A Large Vocabulary Continuous Speech Recognition System , 1989, HLT.
[5] Alexandre Allauzen,et al. Diachronic vocabulary adaptation for broadcast news transcription , 2005, INTERSPEECH.
[6] Frank Keller,et al. Using the Web to Obtain Frequencies for Unseen Bigrams , 2003, CL.
[7] James C. French,et al. Obtaining language models of web collections using query-based sampling techniques , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.
[8] Panayiotis G. Georgiou,et al. Building topic specific language models from webdata using competitive models , 2005, INTERSPEECH.
[9] G. Cooman. POSSIBILITY THEORY I: THE MEASURE- AND INTEGRAL-THEORETIC GROUNDWORK , 1997 .
[10] Marcello Federico,et al. Lexicon adaptation for broadcast news transcription , 2001 .
[11] Thorsten Brants,et al. Large Language Models in Machine Translation , 2007, EMNLP.
[12] Didier Dubois,et al. Possibility theory and statistical reasoning , 2006, Comput. Stat. Data Anal..
[13] Joshua Goodman,et al. A bit of progress in language modeling , 2001, Comput. Speech Lang..
[14] Didier Dubois,et al. Possibility Theory - An Approach to Computerized Processing of Uncertainty , 1988 .
[15] Pascale Sébillot,et al. An unsupervised web-based topic language model adaptation method , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[16] Gérard Chollet. Evaluation of ASR Systems, Algorithms and Databases , 1995 .
[17] Vakgroep Elektrische EnergietechniekTechnologiepark. Possibility Theory I the Measure-and Integral-theoretic Groundwork , 1997 .
[18] Georges Linarès,et al. Probabilistic and possibilistic language models based on the world wide web , 2009, INTERSPEECH.
[19] Georges Linarès,et al. Using the World Wide Web for Learning New Words in Continuous Speech Recognition Tasks: Two Case Studies , 2009 .
[20] Robert Miller,et al. Just-in-time language modelling , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[21] Wilson C. Hsieh,et al. Bigtable: A Distributed Storage System for Structured Data , 2006, TOCS.
[22] GhemawatSanjay,et al. The Google file system , 2003 .
[23] Ronald Rosenfeld,et al. Improving trigram language modeling with the World Wide Web , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[24] Geoffrey E. Hinton,et al. Three new graphical models for statistical language modelling , 2007, ICML '07.
[25] Yoshua Bengio,et al. Neural Probabilistic Language Models , 2006 .
[26] Andreas Stolcke,et al. Getting More Mileage from Web Text Sources for Conversational Speech Language Modeling using Class-Dependent Mixtures , 2003, NAACL.
[27] F. Jelinek,et al. Continuous speech recognition by statistical methods , 1976, Proceedings of the IEEE.
[28] Alexander H. Waibel,et al. Reducing the OOV rate in broadcast news speech recognition , 1998, ICSLP.