Multilingual Machine Translation: Deep Analysis of Language-Specific Encoder-Decoders
Multilingual Machine Translation: Deep Analysis of Language-Specific Encoder-Decoders
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Publisher
San Francisco: AI Access Foundation
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Language
English
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Publisher
San Francisco: AI Access Foundation
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Contents
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 interlingua representation, we simultaneously train N initia...
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Multilingual Machine Translation: Deep Analysis of Language-Specific Encoder-Decoders
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TN_cdi_proquest_journals_2657529360
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2657529360
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ISSN
1076-9757
E-ISSN
1076-9757,1943-5037
DOI
10.1613/jair.1.12699
