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Transformer Language Translator Overview by Mrunali Barapatre is a document available to read on EtoBox.

The document outlines the objectives and architecture of a language translator based on the Transformer model, emphasizing the use of attention mechanisms over traditional recurrent and convolutional methods. It describes the encoder-decoder structure, self-attention processes, and the training results on English-German and English-French datasets, achieving competitive BLUE scores. The conclusion highlights the Transformer

Author
Mrunali Barapatre
Language
EN