| dc.contributor.author | Ng, Tim | |
| dc.contributor.author | Nguyen, Kham | |
| dc.contributor.author | Zbib, Rabih M. | |
| dc.contributor.author | Nguyen, Long | |
| dc.date.accessioned | 2010-11-23T19:07:20Z | |
| dc.date.available | 2010-11-23T19:07:20Z | |
| dc.date.issued | 2009-05 | |
| dc.date.submitted | 2009-04 | |
| dc.identifier.isbn | 978-1-4244-2353-8 | |
| dc.identifier.issn | 1520-6149 | |
| dc.identifier.other | INSPEC Accession Number: 10700940 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/60032 | |
| dc.description.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. | en_US |
| dc.description.sponsorship | United States. Defense Advanced Research Projects Agency (DARPA). GALE program (Contract No. HR0011-06-C-0022) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1109/ICASSP.2009.4960582 | en_US |
| dc.rights | 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. | en_US |
| dc.source | IEEE | en_US |
| dc.title | Improved morphological decomposition for Arabic broadcast news transcription | en_US |
| dc.type | Article | en_US |
| dc.identifier.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 | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering | |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
| dc.contributor.approver | Zbib, Rabih M. | |
| dc.contributor.mitauthor | Zbib, Rabih M. | |
| dc.relation.journal | IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Tim Ng; Kham Nguyen; Rabih Zbib; Long Nguyen | en |
| mit.license | PUBLISHER_POLICY | en_US |
| mit.metadata.status | Complete | |
