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Vocabulary of natural language processing (POC)

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Concept information

Terme préférentiel

seq2seq neural machine translation  

Définition

  • Approach to machine translation that uses deep learning neural networks to directly translate sequences of words from one language to another. It typically consists of a two-part model: an encoder that reads in the input sentence and generates a thought vector representation of its meaning, and a decoder that takes the thought vector and produces the output sentence word by word.

Concept générique

URI

http://data.loterre.fr/ark:/67375/8LP-GRGH8VG1-G

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