Semantic Neural Machine Translation Using AMR

It is intuitive that semantic representations can be useful for machine translation, mainly because they can help in enforcing meaning preservation and handling data sparsity (many sentences correspond to one meaning) of machine translation models. On the other hand, little wor...

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Bibliographic Details
Main Authors: Song, Linfeng, Gildea, Daniel, Zhang, Yue, Wang, Zhiguo, Su, Jinsong
Format: Article
Language:English
Published: The MIT Press 2019-11-01
Series:Transactions of the Association for Computational Linguistics
Online Access:https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00252