Topic: conllu Goto Github
Some thing interesting about conllu
Some thing interesting about conllu
conllu,ACoLi CoNLL libraries: Several tools for processing, manipulating and transforming TSV formats (CoNLL-RDF, CoNLL-Merge, CQP4RDF)
Organization: acoli-repo
conllu,Exploring and visualizing CONULLU files in Python
User: arbeltepper
conllu,End-to-end integration of HuggingFace's models for sequence labeling.
User: avramandrei
conllu,Toolkit that simplifies corpus processing
User: fostroll
conllu,Tool to convert CoNLL-U format files to CoNLL format files and manipulate training, validation and test sets.
User: minionattack
conllu,Tool for translating a corpus file from one language to another.
User: minionattack
conllu,An small Python script that converts a .conllu file into a tab seprated view (tsv) file.
User: muhammadyaseenkhan
conllu,GitHub repository for Arc-Eager Transition-Based Parser
User: nahid01752
conllu,A number of command-line tools for working with FoLiA (Format for Linguistic Annotation). Includes validators, converters, visualisers, and more.
User: proycon
conllu,A minimal, pure Python library to interface with CoNLL-U format files.
Organization: pyconll
Home Page: https://pyconll.github.io
conllu,Simple script to parse text with spaCy and print the output in CoNLL-U format.
User: rgalhama
conllu,A tool for validating English CoNLL-U data files.
User: rhdunn
conllu,A set of OpenNLP extensions for reading and training CoNLL-X and CoNLL-U files.
User: rhdunn
conllu,Repository for the paper "Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities"
Organization: sapienzanlp
conllu,Count Bigram frequency in a conllu format corpus
User: stefanrer
conllu,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.
User: tajakuzman
conllu,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.
User: tajakuzman
conllu,A package for manipulating Universal Dependencies trees
Organization: udon2
Home Page: https://udon2.github.io/
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