Language Modeling for Efficient Beam-Search

Language Modeling for Efficient Beam-Search (1995)

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by Marcello Federico , Mauro Cettolo , Fabio Brugnara , Giuliano Antoniol

Venue:	Computer Speech and Language
Citations:	5 - 4 self

BibTeX

@ARTICLE{Federico95languagemodeling,
    author = {Marcello Federico and Mauro Cettolo and Fabio Brugnara and Giuliano Antoniol},
    title = {Language Modeling for Efficient Beam-Search},
    journal = {Computer Speech and Language},
    year = {1995},
    volume = {9}
}

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Abstract

This paper considers the problems of estimating bigram language models and of efficiently representing them by a finite state network, which can be employed by an hidden Markov model based, beam-search, continuous speech recognizer.

Citations

6514	Elements of Information Theory - Cover, Thomas - 1991
2172	The Design and Analysis of Computer Algorithms - Aho, Hopcroft, et al. - 1974
687	Estimation of dependences based on empirical data - Vapnik - 1982
574	Estimation of probabilities from sparse data for the language model component of a speech recognizer - Katz - 1987
422	An Inequality and Associated Maximization Technique in Statistical Estimation of a Markov Process - Baum - 1972
294	Techniques for automatically correcting words in text - Kukich - 1992
286	The population frequencies of species and the estimation of population parameters - Good - 1953
286	Interpolated estimation of Markov source parameters from sparse data - Jelinek, Mercer - 1980
264	Classification and Regression - Breiman, Friedman, et al. - 1984
195	The zero-frequency problem: estimating the probabilities of novel events in adaptive text compression - Witten, Bell - 1991
149	On structuring probabilistic dependencies in stochastic language modeling. Computer Speech and Language - Ney, Essen, et al. - 1994
67	An Introduction to Formal Languages and Automata - Linz - 1990
57	Principles of lexical language modeling for speech recognition - Jelinek, Mercer, et al. - 1992
47	Improvements in beam search for 10 000-word continuous-speech recognition - Haeb-Umbach, Ney - 1994
40	Speaker Independent Continuous Speech Recognition using an Acoustic-Phonetic Italian Corpus - Angelini, Brugnara, et al. - 1994
40	Estimation of Powerful Language Models from Small and Large Corpora - Placeway, Schwartz, et al. - 1993
39	Natural language modeling for phoneme-to-text transcription - Derouault, Merialdo - 1986
28	Data driven search organization for continuous speech recognition - Noll, Ney, et al. - 1992
18	Techniques to Achieve an Accurate Real-Time Large-Vocabulary Speech Recognition System - Murveit, Monaco, et al. - 1994
16	An inequality with applications to statistical prediction for functions of Markov processes and to a model of ecology - Baum, Eagon - 1967
15	Search Strategies for Large-Vocabulary ContinuousSpeech Recognition - Ney - 1993
8	Radiological reporting by speech recognition: the A.Re.S system - Angelini, Antoniol, et al. - 1994
4	Design and acquisition of a task-oriented spontaneous-speech data base - Corazza, Federico, et al. - 1993
3	Tools for development, test and analysis of ASRs - Antoniol, Carli, et al. - 1992
3	Automatic speech recognition in machine-aided translation. Computer Speech and Language - Brown, Chen, et al. - 1994
3	On Turing’s formula formula for word probabilities - Nadas - 1985
2	Stacked estimation of interpolated ngram language models - Federico - 1993
1	A Bayesian Estimation As both the Bayesian and the Good-Turing estimators are general techniques applicable to any discrete distribution, a more general estimation problem is considered here: given a population V - Theory