Improved morphological decomposition for Arabic broadcast news transcription
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 decompositi...
Main Authors: | Ng, Tim, Nguyen, Kham, Zbib, Rabih M., Nguyen, Long |
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Other Authors: | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2010
|
Online Access: | http://hdl.handle.net/1721.1/60032 |
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