A Hybrid Approach for Amazigh-English Machine Translation
Article No.: 15, Pages 1 - 6
Abstract
In this paper, we present our hybrid methodology for building a bidirectional Amazigh-English machine translation. The architecture of the proposed system is based on both Interlingua-Based Machine Translation (IBMT) and Statistical-Based Machine Translation (SBMT) approaches. Amazigh is a less-resourced language. It does not have parallel corpora with enough size. So, using statistical approach for such language will not be a good choice, because this approach requires large parallel corpora to well train probabilistic models, and to ensure a translation of good quality. Since we dispose of an Amazigh IBMT based deconverter, we thought, firstly, to use it in building an Amazigh-English parallel corpus. This latter have been exploited to train the necessary models in SBMT.
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- A Hybrid Approach for Amazigh-English Machine Translation
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Published In
December 2018
201 pages
ISBN:9781450361019
DOI:10.1145/3330089
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Published: 26 December 2018
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ICSENT 2018
ICSENT 2018: 7th International Conference on Software Engineering and New Technologies
December 26 - 28, 2018
Hammamet, Tunisia
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