English - Afaan Oromoo Machine Translation: an Experiment Using Statistical Approach:
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Date
2009-04-01
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Addis Ababa University
Abstract
Machine translation (MT) refers to the use of a machine for performing translation task which converts text In one natural Language Into another Natural Language It can have many applications like cross-linguistic Informant retrieval and speech to speech translator systems It can also assist professional translators by producing draft quality output Thai reduces cost that would be Incurred if translation and typing was done manually from scratch English Is the lingua franca of online Information and Afaan Oromo Is one of the most resource scarce languages For this reason, monoflngual Afaan Oromoo speakers need to use documents Witten other languages, among whelp English IS the most popular one To satisfy this need, translation of the English documents to
Afaan Oromoo and thus making these on line documents available In Afaan Oromoo is vttal in addressing the language barrier thereby reducing the effect of digital divide.
Therefore, this thesis Is focused on the development of a prototype English-Afaan Oromoo machine translation system using statistical approach. i.e. without explicit Formulation of linguistic rules.as this approach involves low cost and swiftest way Available these days Using limited corpus of about 20.000 bilingual sentences. a Transition accuracy of 17 74% was achieved
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English - Afaan Oromoo Machine Translation:, Machine Translation, Speech Translator Systems