Ahmad Emami, Ph.D.

Affiliations: 
2006 Johns Hopkins University, Baltimore, MD 
Area:
Electronics and Electrical Engineering, Computer Science, Linguistics Language, Artificial Intelligence
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"Ahmad Emami"

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Frederick Jelinek grad student 2006 Johns Hopkins
 (A neural syntactic language model.)
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Publications

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Emami A. (2015) Efficient machine translation decoding with slow language models Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2015: 2376-2379
Emami A, Chen SF. (2011) Multi-class Model M Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5516-5519
Kuo HKJ, Mangu L, Emami A, et al. (2010) Morphological and syntactic features for Arabic speech recognition Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5190-5193
Emami A, Zitouni I, Mangu L. (2008) Rich morphology based N-gram language models for Arabic Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 829-832
Emami A, Papineni K, Sorensen J. (2007) Large-scale distributed language modeling Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4
Emami A, Mangu L. (2007) Empirical study of neural network language models for Arabic speech recognition 2007 Ieee Workshop On Automatic Speech Recognition and Understanding, Asru 2007, Proceedings. 147-152
Emami A, Jelinek F. (2005) Random clusterings for language modeling Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings
Emami A, Jelinek F. (2005) A neural syntactic language model Machine Learning. 60: 195-227
Emami A, Jelinek F. (2004) Exact training of a neural syntactic language model Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1
Emami A, Xu P, Jelinek F. (2003) Using a connectionist model in a syntactical based language model Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1: 372-375
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