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I see that the English parts of the dictionaries are different
for example
tokenizer_he.tokenize("housekeeper") outputs
['▁housekeeper']
and
tokenizer_es.tokenize("housekeeper") outputs
['▁house', 'keeper']
I want to know what is the reason for this different
Was it trained on different dataset?
Thank you
Bar
The text was updated successfully, but these errors were encountered:
Hi,
I use different tokenizers for different languages:
Helsinki-NLP/opus-mt-en-de
Helsinki-NLP/opus-mt-en-he
Helsinki-NLP/opus-mt-en-ru
Helsinki-NLP/opus-mt-en-es
I see that the English parts of the dictionaries are different
for example
tokenizer_he.tokenize("housekeeper") outputs
['▁housekeeper']
and
tokenizer_es.tokenize("housekeeper") outputs
['▁house', 'keeper']
I want to know what is the reason for this different
Was it trained on different dataset?
Thank you
Bar
The text was updated successfully, but these errors were encountered: