AI Translation

This model will predict the English translation of a short German sentence.

INPUT: A German sentence
es tut mir sehr leid'

OUTPUT: English translation
i m sorry about that

Tools Used

  • Python
  • PyTorch
  • Matplotlib
  • NumPy

Concepts covered

  • RNN (Recurrent Neural Network)
  • Sequences and Vectors
  • Encoding and Decoding

Details

We started by exploring the different kinds of models that we can build using recurrent neural networks like vector-to-vector models, sequence-to-vector models, sequence-to-sequence, and vector-to-sequence models. We were most interested in was the sequence-to-sequence model for language translation. We noticed the basic components of a model, the encoder which generates a hidden state representation of the input sentence and the decoder that generates the sentence in the target language. We have seen the training process of this encoder-decoder model and how teacher forcing allows us to build models that converge faster.

IMRAN POLLOB
IMRAN POLLOB
Software Engineer

Fullstack software engineer with 4+ years of experiece learing to teach machines

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