# Turkish NLP

MindLaw is a version based on the T5 base model, specifically trained on Turkish legal data, equipped with legal consultation capabilities.

A Turkish BERT model pre-trained by Trendyol, suitable for various natural language understanding tasks.

Large-scale Turkish natural language processing pipeline, including tokenization, POS tagging, morphological analysis, lemmatization, dependency parsing, and named entity recognition.

Medium-sized spaCy pipeline optimized for Turkish, including tokenization, part-of-speech tagging, morphological analysis, dependency parsing, and named entity recognition

Turkish transformer pipeline for TrSpaCy, including transformer, tokenizer, morphological analyzer, lemmatizer, parser, and named entity recognizer components.

Stanza is a precise and efficient toolkit for syntactic analysis of multiple human languages. From raw text to syntactic parsing and named entity recognition, Stanza provides state-of-the-art natural language processing models for your chosen language.