Deep Learning Quick Reference

Translating a sequence

Now we're ready to sample a few input sequences and translate them. In the example code, we're using the first 100 bilingual pairs to translate with. A better test might be to sample randomly across the space, but I think this simple loop illustrates the process:

for seq_index in range(100):    input_seq = data["encoder_input_data"][seq_index: seq_index + 1]    decoded_sentence = decode_sequence(input_seq, data, encoder_model,                                        decoder_model)    print('-')    print('Input sentence:', data['input_texts'][seq_index])    print('Correct Translation:', data['target_texts']      [seq_index].strip("\t\n"))    print('Decoded sentence:', decoded_sentence)

In this code, we're using one observation of encoder_input_data as the input to decode_sequence ...