vngrs-nlp 0.1.2.1

.. |logo| image:: https://github.com/vngrs-ai/VNLP/blob/main/img/logo.png :alt: Logo :width: 256

VNLP: Turkish NLP Tools

State of the art, lightweight NLP tools for Turkish language. Developed by VNGRS. https://vngrs.com/

Functionality:

• Sentence Splitter
• Normalizer
  • Spelling/Typo correction
  • Convert numbers to word form
  • Deasciification
• Stopword Remover:
  • Static
  • Dynamic
• Stemmer: Morphological Analyzer & Disambiguator
• Named Entity Recognizer (NER)
• Dependency Parser
• Part of Speech (POS) Tagger
• Sentiment Analyzer
• Turkish Word Embeddings
  • FastText
  • Word2Vec
• Text Summarization: In development progress...

Installation

pip install vngrs-nlp

conda install vngrs-nlp

Documentation:

• Detailed documentation about usage, classes, functions, datasets and evaluation metrics are available at Documentation.

Usage Example:

Dependency Parser

from vnlp import DependencyParser
dep_parser = DependencyParser()
dep_parser.predict("Onun için yol arkadaşlarımızı titizlikle seçer, kendilerini iyice sınarız.")
[(1, 'Onun', 5, 'obl'),
(2, 'için', 1, 'case'),
(3, 'yol', 1, 'nmod'),
(4, 'arkadaşlarımızı', 5, 'obj'),
(5, 'titizlikle', 6, 'obl'),
(6, 'seçer', 7, 'acl'),
(7, ',', 10, 'punct'),
(8, 'kendilerini', 10, 'obj'),
(9, 'iyice', 8, 'advmod'),
(10, 'sınarız', 0, 'root'),
(11, '.', 10, 'punct')]
# Spacy's submodule Displacy can be used to visualize DependencyParser result.
import spacy
from vnlp import DependencyParser
dependency_parser = DependencyParser()
result = dependency_parser.predict("Oğuz'un kırmızı bir Astra'sı vardı.", displacy_format = True)
spacy.displacy.render(result, style="dep", manual = True)

.. |example| image:: https://github.com/vngrs-ai/VNLP/blob/main/img/dp_vis_sample.png :alt: Example :width: 512