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pos-tagging
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As of PyTorch 1.1.0, the inputs to pack_padded_sequence do not need to be sorted by length if enforce_sorted=False:
https://pytorch.org/docs/master/nn.html#torch.nn.utils.rnn.pack_padded_sequence
enforce_sorted (bool, optional) – if True, the input is expected to contain sequences sorted by length in a decreasing order. If False, this condition is not checked. Default: True.
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Since I need to package and distribute my program which includes SudachiPy to my users, the symlink would not be very reliable if I want to use the full version of SudachiPy's dictionary. So is there any way to import and use sudachipy's dictionary directly instead of run the linking command before that (the linking command would fail if the user do not have admin privileges), just like spaCy:
note to myself
add in docs that cooccurrence.data.frame in a group by fashion which does not take into account a sequence
does not return self-occurrences and as there is no order (bag of terms) in the output term1 is always smaller than term2, need to formulate this more concisely
while cooccurrence.character goes left to right, maybe need an option right to left also
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For Juman++ to be widely usable, we want to have a documented and stable C API and an option to have a dynamically linked library.
That library probably should use
-fvisibility=hiddenand explicit visibility on exported symbols on Unixes and__declspec(dllimport/dllexport)on Windows.The minimal API should be: