Open AccessThe Learnability of the Annotated Input in NMT Replicating (Vanmassenhove and Way, 2018) with OpenNMT
Author(s) -
Nicolas Ballier,
Nabil Amari,
Laure Merat,
Jean-Baptiste Yunès
Publication year - 2020
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - computer science , learnability , artificial intelligence , natural language processing , feature (linguistics) , relation (database) , machine translation , set (abstract data type) , artificial neural network , granularity , representation (politics) , programming language , data mining , philosophy , linguistics , politics , political science , law
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