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Providing Morphological Information for SMT Using Neural Networks

The Prague Bulletin of Mathematical Linguistics
doi 10.1515/pralin-2017-0026
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Abstract

Available in full text

Date

June 1, 2017

Authors
Peyman PassbanQun LiuAndy Way
Publisher

Walter de Gruyter GmbH


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