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
  • SentencePiece Unigram Tokenizer
• Text Summarization: In development progress...

Demo:

• Try the Demo.

Installation

pip install vngrs-nlp

Documentation:

• See the Documentation for the details about usage, classes, functions, datasets and evaluation metrics.

Metrics:

Usage Example:

Dependency Parser

from vnlp import DependencyParser
dep_parser = DependencyParser()

dep_parser.predict("Oğuz'un kırmızı bir Astra'sı vardı.")
[("Oğuz'un", 'PROPN'),
 ('kırmızı', 'ADJ'),
 ('bir', 'DET'),
 ("Astra'sı", 'PROPN'),
 ('vardı', 'VERB'),
 ('.', '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)