tokenize sentence in Thai
Project description
from cut_sent_thai import cut_sent
tokens = cut_sent("put your string here")
If you want the raw answer (which space is end of sentence (EOS) and which space is not)
tokens, raw = cut_sent("put your string here", return_raw=True)
raw is numpy array. value is 1 if that space position is EOS and 0 if it's not. Length of raw is the same as number of spaces in your text
change log version 0.0.8: now needs pytorch as dependency
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