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

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.

reference code for syntaxnet

spaCy + UDPipe

HuSpaCy: industrial-strength Hungarian natural language processing

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

Repository for the Georgetown University Multilayer Corpus (GUM)

A framework to convert Universal Dependencies to Logical Forms

BERT fine-tuning for POS tagging task (Keras)

Python framework for processing Universal Dependencies data

This Universal Dependencies (UD) Portuguese treebank.

Yet Another (natural language) Parser

COMBO is jointly trained tagger, lemmatizer and dependency parser.

An NLP pipeline for Hebrew

CONLL-U to Pandas DataFrame

розмічений руками морфо’, синт’, кореф’ корпус української мови

Framework for probing tasks

A JSON API to tag a sentence with part of speech tags. Uses UDPipe, so support for hundreds of languages.