Salim Roukos applies the principles of Matching (statistics), Stochastic modelling and Mixture model in his work under Statistics. His study deals with a combination of Matching (statistics) and Statistics. Mixture model and Hidden Markov model are two areas of study in which Salim Roukos engages in interdisciplinary research. He combines Hidden Markov model and Dynamic time warping in his research. Salim Roukos integrates many fields in his works, including Dynamic time warping and Speech recognition. In his study, Salim Roukos carries out multidisciplinary Speech recognition and Keyword spotting research. His study on Mathematical analysis is intertwined with other disciplines of science such as Domain (mathematical analysis) and Variable (mathematics). He merges many fields, such as Domain (mathematical analysis) and Mathematical analysis, in his writings. His Artificial intelligence study frequently draws connections between adjacent fields such as Pattern recognition (psychology).
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Bleu: a Method for Automatic Evaluation of Machine Translation
Kishore Papineni;Salim Roukos;Todd Ward;Wei-Jing Zhu.
meeting of the association for computational linguistics (2002)
Procedure for quantitatively comparing the syntactic coverage of English grammars
S. Abney;S. Flickenger;C. Gdaniec;C. Grishman.
human language technology (1991)
Natural language task-oriented dialog manager and method
Kishore A. Papineni;Salim Roukos;Robert T. Ward.
Continuous hidden Markov modeling for speaker-independent word spotting
J.R. Rohlicek;W. Russell;S. Roukos;H. Gish.
international conference on acoustics, speech, and signal processing (1989)
Phrase splicing and variable substitution using a trainable speech synthesizer
Robert E. Donovan;Martin Franz;Salim E. Roukos;Jeffrey Sorensen.
Journal of the Acoustical Society of America (1998)
A Statistical Model for Multilingual Entity Detection and Tracking
R. Florian;H. Hassan;A. Ittycheriah;H. Jing.
north american chapter of the association for computational linguistics (2004)
A stochastic segment model for phoneme-based continuous speech recognition
M. Ostendorf;S. Roukos.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1989)
Statistical natural language understanding using hidden clumpings
M. Epstein;K. Papineni;S. Roukos;T. Ward.
international conference on acoustics speech and signal processing (1996)
A Mention-Synchronous Coreference Resolution Algorithm Based On the Bell Tree
Xiaoqiang Luo;Abe Ittycheriah;Hongyan Jing;Nanda Kambhatla.
meeting of the association for computational linguistics (2004)
A maximum entropy model for prepositional phrase attachment
Adwait Ratnaparkhi;Jeff Reynar;Salim Roukos.
human language technology (1994)
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