Using syntax for improving phrase-based SMT in low-resource languages.

Data driven approaches for machine translation, such as statistical and neural machine translation, suffer from sparsity when dealing with low-resource languages. In these cases, using other sources of information including linguistic information could alleviate the problem. In this article, we focu...

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Bibliographic Details
Published in:Digital Scholarship in the Humanities Vol. 35; no. 3; pp. 507 - 529
Main Authors: Fadaei, Hakimeh, Faili, Heshaam
Format: Article
Published: Oxford University Press / USA Sep2020
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Online Access:View this record in EBSCOhost