NLP with R and UDPipeTokenization, Parts of Speech Tagging, Lemmatization, Dependency Parsing and NLP flows

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Overview
Detailed usage
Analytical use-cases
Model building

Rich & Easy annotation

Quick and simple annnotations giving rich output: tokenization, tagging, lemmatization and dependency parsing

Language agnostic

Multi-language support. From raw text to parsed output for more than 50 languages. Load pre-trained models build on CONLL-U data from universaldependencies.org

Easy R installation

No dependency on Python or Java. Just install.packages("udpipe") and you are up and running. No heavy R package dependencies for easy installation and maintenance.

Train & tune your own models

Train your own models directly on the newest CONLL-U data and tune them to your needs using local or up-to-date CONLL-U data.