Retrain a new tokenization model on a much bigger dataset. F1 score =0.985
Add training data and training code
Better integration to spacy.io (removing redundant spaces between tokens after tokenization. Eg. Việt Nam , 12 / 22 / 2020 => Việt Nam, 12/22/2020]
Tokenization
POS tagging
Accents removal
Accents adding
Algorithm: Conditional Random Field
Vietnamese tokenizer f1_score = 0.985
Vietnamese pos tagging f1_score = 0.925
POS TAGS:
At the command line with pip
.. code-block:: shell
$ pip install pyvi
Uninstall
.. code-block:: shell
$ pip uninstall pyvi
.. code-block:: python
from pyvi import ViTokenizer, ViPosTagger
ViTokenizer.tokenize(u"Trường đại học bách khoa hà nội")
ViPosTagger.postagging(ViTokenizer.tokenize(u"Trường đại học Bách Khoa Hà Nội")
from pyvi import ViUtils
ViUtils.remove_accents(u"Trường đại học bách khoa hà nội")
from pyvi import ViUtils
ViUtils.add_accents(u'truong dai hoc bach khoa ha noi')
FAQs
Python Vietnamese Toolkit
We found that pyvi demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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