Python Vietnamese Toolkit
What’s New (0.1)
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]
Functionality
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:
A - Adjective
C - Coordinating conjunction
E - Preposition
I - Interjection
L - Determiner
M - Numeral
N - Common noun
Nc - Noun Classifier
Ny - Noun abbreviation
Np - Proper noun
Nu - Unit noun
P - Pronoun
R - Adverb
S - Subordinating conjunction
T - Auxiliary, modal words
V - Verb
X - Unknown
F - Filtered out (punctuation)
Installation
At the command line with pip
$ pip install pyviUninstall
$ pip uninstall pyviUsage
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')1 maintainer
Metadata
1 maintainer
Release files for pyvi 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| pyvi-0.1.1.tar.gz | 8.4 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyvi-0.1.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 16.8 MB
Release files / pyvi-0.1.1.tar.gz
| Download URL | pyvi-0.1.1.tar.gz |
|---|---|
| Size | 8.4 MB |
| Tags | Source |
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Release files / pyvi-0.1.1-py2.py3-none-any.whl
| Download URL | pyvi-0.1.1-py2.py3-none-any.whl |
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| Size | 8.5 MB |
| Tags | Python 2 Python 3 |
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