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A Deep Dive Into Machine Translation

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14 Apr 2021CPOL5 min read
In this article we introduce the main theoretical concepts required for building an ML-based translator.
Here we briefly look at: the main tools and concepts we’ll use to build an automatic translation machine, the structure of an RNN, Gated Recurrent Unit (GRU), Embeddings, and language models.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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Martin_Rupp
Russian Federation Russian Federation
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