Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

reference code for syntaxnet

A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.

Repository for the Georgetown University Multilayer Corpus (GUM)

Yet Another (natural language) Parser

Python framework for processing Universal Dependencies data

BERT fine-tuning for POS tagging task (Keras)

A framework to convert Universal Dependencies to Logical Forms

HuSpaCy: industrial-strength Hungarian natural language processing

This Universal Dependencies (UD) Portuguese treebank.

A minimal, pure Python library to interface with CoNLL-U format files.

spaCy + UDPipe

Framework for probing tasks

An NLP pipeline for Hebrew

CONLL-U to Pandas DataFrame

COMBO is jointly trained tagger, lemmatizer and dependency parser.

marry.py: A utility for converting Universal Dependencies–annotated corpora to UniMorph

BERT fine-tuning for POS tagging task (google's tensorflow)