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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3620

Title: Pronunciation dictionary development in resource-scarce environments
Authors: Davel, M
Martirosian, O
Keywords: Linguistic resources
Pronunciation dictionaries
Resource scarce languages
Dictionary verification protocol
Dictionary development protocol
Lwazi dictionaries
10th Annual Conference of the International Speech Communication Association
Interspeech 2009
Speech technology systems
Speech communication
Issue Date: Sep-2009
Publisher: International Speech Communication Association
Citation: Davel, M and Martirosian, O. 2009. Pronunciation dictionary development in resource-scarce environments. 10th Annual Conference of the International Speech Communication Association (Interspeech 2009). Brighton, UK, 6-10 September, 2009. pp 2851-2854
Abstract: The deployment of speech technology systems in the developing world is often hampered by the lack of appropriate linguistic resources. A suitable pronunciation dictionary is one such resource that can be difficult to obtain for lesser-resourced languages. Researchers design a process for the development of pronunciation dictionaries in resource-scarce environments, and apply this to the development of pronunciation dictionaries for ten of the official languages of South Africa. The paper defines the semiautomated development and verification process in detail and discusses practicalities, outcomes and lessons learnt. It further analyse the accuracy of the developed dictionaries and demonstrate how the distribution of rules generated from the dictionaries provides insight into the inherent predictability of the languages studied.
Description: Copyright: 2009 ISCA. This is the author's version of the work. It is posted here by permission of ISCA for your personal use. Not for redistribution. The definitive version was published in the Conference Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech 2009). Brighton, UK, 6-10 September 2009, pp 2851-2854
URI: http://hdl.handle.net/10204/3620
ISBN: 1990-9772
Appears in Collections:Human language technologies
General science, engineering & technology

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