Train neural machine translation systems between Spanish and the rest of the project's languages, in both directions. Train multilingual systems able to translate from and into all the project's ...

The Masakhane project works with AI researchers and data scientists across Africa, and the organization aims to create neural machine translation that connects Africa’s many populations.

The Google Neural Machine Translation system 'surpasses' the results of all other machine-translation solutions currently available, with GNMT now being used for Chinese-to-English translations.

Neural machine translation (NMT) has recently become more well-known in the translation industry. To produce translations, NMT systems use deep learning methods, notably neural networks.

The Systran solution can communicate in over 140 language combinations. It has made a client beta program and an online demo available for customers to try the engine.. According to Systran, It ...

Neural Machine Translation (NMT) — as in, the one using neural networks — is the most successful machine translation method we have to date. Compared to its predecessors, it’s faster, more ...

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One more way MT can benefit your project is translation consistency. When several independent translators work on a text, they may translate certain words differently, so that you end up with ...

The project has now seen the release of COMET (Crosslingual Optimized Metric for Evaluation of Translation), an open source neural framework and metric for Machine Translation (MT) evaluation.