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Research papers

A Study of Residual Adapters for Multi-Domain Neural Machine Translation [PDF]

A Study of Residual Adapters for Multi-Domain Neural Machine Translation [PDF] Domain adaptation is an old and vexing problem for machine translation systems. The most common approach and successful to supervised adaptation is to fine-tune…
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Research papers

SYSTRAN @ WMT 2021: Terminology Task [PDF]

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Research papers

Priming Neural Machine Translation [PDF]

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Research papers

Integrating Domain Terminology into Neural Machine Translation [PDF]

SYSTRAN - NMT Article Read Post
Translation Technologies

We are SYSTRAN and we love languages…

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Translation Technologies

How does Neural Machine Translation work?

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Translation Technologies

Purely Neural Machine Translation News: Issue #1

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Industries

6 Powerful Tips For Effective & Efficient Multi-Language Customer Support

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Data Compliance

Is Your Team Violating Data Compliance Laws with Online Translation Tools?

Boosting Neural Machine Translation with Similar Translations [PDF] Article Read Post
Translation Technologies

SYSTRAN launches SYSTRAN.io – an API Platform for Easy Development of Multilingual Applications

Boosting Neural Machine Translation with Similar Translations [PDF] Article Read Post
Translation Technologies

You asked, we developed: Introducing SYSTRAN Relativity Connector 2.0

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