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lvapeab avatar lvapeab commented on May 17, 2024

Hi,

you can pre-process your data files and split the charaters from words. Or you can use the tokenize-detokenize options in the config.py:

TOKENIZATION_METHOD = 'tokenize_none_char'
DETOKENIZATION_METHOD = 'detokenize_none_char'
APPLY_DETOKENIZATION = True

This feature may have some problem, as it is not thoroughly tested. Moreover, if you use a naive NMT model for character seq2seq, it may perform poorly. In case you want to implement an additional model, you shoud modify the model_zoo.py file.

Cheers.

from nmt-keras.

anant10 avatar anant10 commented on May 17, 2024

Thanks lvapeab ,
its working but bleu scores are worse but the prediction is good enough.

from nmt-keras.

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