Multilingual Machine Translation: Deep Analysis of Language-Specific Encoder-Decoders

State-of-the-art multilingual machine translation relies on a shared encoder-decoder. In this paper, we propose an alternative approach based on language-specific encoder-decoders, which can be easily extended to new languages by learning their corresponding modules. To establish a common interlingu...

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Bibliographic Details

Published in:	The Journal of artificial intelligence research Vol. 73; pp. 1535 - 1552
Main Authors:	Escolano, Carlos, Ruiz Costa-jussà, Marta, R. Fonollosa, José A.
Format:	Journal Article
Language:	English
Published:	San Francisco AI Access Foundation 01.01.2022
Subjects:	Artificial intelligence Coders Encoders-Decoders Languages Lifelong learning Machine translation Modular systems Modules Multilingualism
ISSN:	1076-9757, 1076-9757, 1943-5037
Online Access:	Get full text
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