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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 pyvi

Uninstall

$ pip uninstall pyvi

Usage

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')