A minimal, pure Python library to interface with CoNLL-U format files.
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Updated
Jun 21, 2023 - Python
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.
A package for manipulating Universal Dependencies trees
Simple script to parse text with spaCy and print the output in CoNLL-U format.
ACoLi CoNLL libraries: Several tools for processing, manipulating and transforming TSV formats (CoNLL-RDF, CoNLL-Merge, CQP4RDF)
Toolkit that simplifies corpus processing
Repository for the paper "Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities"
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.
A Python3 package for extracting syntactic complexity measures from CoNLL-U annotations.
Small bilar packages
Tool for translating a corpus file from one language to another.
NER tagging with HMM and Viterbi algorithm - University Project
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.
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