Comments (2)
The nlpnet parser model was created mostly in an experimental way and is not very good in comparison to the state of the art, neither in speed or accuracy. That's why I never bothered to publish a trained model. But maybe it could be useful for some reason, I'll have a look at it.
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Just for the record, nlpnet is not implementing any parser functionalities. There are some good implementations out there with trained models for Portuguese and many other languages (UDPipe, the new Stanford parser, Turku, COMBO, to name a few).
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Related Issues (20)
- nlpnet giving error when loading own embedding in english language HOT 8
- Error when using pip to install
- Onde posso encontrar o significado das siglas? HOT 7
- Need clarity on Dependency Relations output by Dependency Parser. HOT 1
- where to get the model for posTag for english ? HOT 4
- Invalid data directory HOT 2
- Error POS Training HOT 10
- problem on initial import HOT 5
- h5py Depency isn't listed in setup.py HOT 1
- [IOError: Failed to interpret file 'models/srl-class-predicates.npz' as a pickle] Error while running nlpnet-test.py HOT 4
- KeyError while using nlpnet-test.py with --id HOT 1
- Python 3.7.3 incompability HOT 2
- nlpnet POSTagger returns error message when allow_pickle=False HOT 5
- "can't multiply sequence" when SRLTagger HOT 4
- Error when installing nlpnet with pip3 on Mac Catalina HOT 5
- nlpnet install error HOT 5
- nlpnet install error with pip on linux HOT 3
- nlpnet import error HOT 2
- Python==3.10 and Numpy==1.23 HOT 1
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