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

End-to-end integration of HuggingFace's models for sequence labeling.

A number of command-line tools for working with FoLiA (Format for Linguistic Annotation). Includes validators, converters, visualisers, and more.

Simple script to parse text with spaCy and print the output in CoNLL-U format.

A package for manipulating Universal Dependencies trees

ACoLi CoNLL libraries: Several tools for processing, manipulating and transforming TSV formats (CoNLL-RDF, CoNLL-Merge, CQP4RDF)

Tool to convert CoNLL-U format files to CoNLL format files and manipulate training, validation and test sets.

Utilities for working with CoNLL-U

Toolkit that simplifies corpus processing

A set of OpenNLP extensions for reading and training CoNLL-X and CoNLL-U files.

An small Python script that converts a .conllu file into a tab seprated view (tsv) file.

A pipeline for machine translation (using OPUS-MT models) of parliamentary text collections in 30+ languages (ParlaMint corpora). The pipeline includes parsing TEI XLM and CONLL-u files, linguistic processing with the Stanza pipeline, machine translation and word alignment with the Eflomal tool.

Repository for the paper "Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities"

A Python3 package for extracting syntactic complexity measures from CoNLL-U annotations.

Universal Dependencies datasets preprocess and autodownloads.

Small bilar packages

NER tagging with HMM and Viterbi algorithm - University Project

Tool for translating a corpus file from one language to another.

Exploring and visualizing CONULLU files in Python

Analysing different text representations for genre identification. I parse CONLL-u files and extract various representations of a text (running text, lemmas, part-of-speech), then train a Fasttext model on each to see which representation is the most beneficial for the genre identification task.