Improved morphological decomposition for Arabic broadcast news transcription
Name
Ng-2009-Improved morphological decomposition for Arabic broadcast news transcription.pdf
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174.47 KB
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Author(s)
Ng, Tim
Nguyen, Kham
Zbib, Rabih M.
Nguyen, Long
Date Issued
May 2009
Journal
IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009.
Publisher
Institute of Electrical and Electronics Engineers
Citation
Tim Ng et al. “Improved morphological decomposition for Arabic broadcast news transcription.” Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on. 2009. 4309-4312. © Copyright 2009 IEEE
Version
Final published version
Abstract
In this paper, we show the progress for Arabic speech recognition by incorporating contextual information into the process of morphological decomposition. The new approach achieves lower out-of-vocabulary and word error rates when compared to our previous work, in which the morphological decomposition relies on word-level information only. We also describe how the vocalization procedure is improved to produce pronunciations for some dialect Arabic words. By using the new approach, we reduced the word error by 0.8% absolute (4.7% relative) when compared to the baseline approach.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICASSP.2009.4960582
