Output details
15 - General Engineering
University of Cambridge
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Output 0 of 0 in the submission
Article title
Morphological decomposition in Arabic ASR systems
Type
D - Journal article
Title of journal
Computer Speech and Language
Article number
-
Volume number
26
Issue number
4
First page of article
229
ISSN of journal
0885-2308
Year of publication
2012
URL
-
Number of additional authors
3
Additional information
This work was funded by the US DARPA-funded program, Global Autonomous Language Exploitation (GALE). This paper details the incorporation of a standard Arabic morphological decomposition tool "Morphological Analysis and Disambiguation for Arabic" (MADA) into a speech recognition system. The approach formed a central part of the Cambridge University Arabic speech recognition system for the annual NIST-run evaluations. Cambridge was in the BBN team, which achieved the specified targets in the majority of conditions in competition with teams from IBM and SRI. This success led the BBN-led AGILE team receiving funding for all phases of the GALE program.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
