Document-Level Neural Machine Translation With Document Embeddings

Document-Level Neural Machine Translation With Document Embeddings

Standard neural machine translation (NMT) assumes that document-level context information is irrespective. Most existing document-level NMT methods are satisfied with a smattering sense of shallow document-level information, such as using a few context sentences surrounding the source sentence as do...

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Bibliographic Details
Main Authors: Linxing Zhu, Shu Jiang, Hai Zhao, Zuchao Li, Jiashuang Huang, Weiping Ding, Bao-Liang Lu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Machine translation
document embeddings
Online Access:https://ieeexplore.ieee.org/document/10992689/
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https://ieeexplore.ieee.org/document/10992689/

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