R package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based on the UDPipe Natural Language Processing Toolkit
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Updated
Mar 2, 2026 - C++
R package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based on the UDPipe Natural Language Processing Toolkit
spaCy + UDPipe
Pipeline component for spaCy (and other spaCy-wrapped parsers such as spacy-stanza and spacy-udpipe) that adds CoNLL-U properties to a Doc and its sentences and tokens. Can also be used as a command-line tool.
A JSON API to tag a sentence with part of speech tags. Uses UDPipe, so support for hundreds of languages.
A pipeline for POS tagging, sentence alignment, word alignment, and transliteration of texts in 30+ languages.
Research code used to implement SoTA joint morphological taggers and lemmatizers in context. Reproduction and extension of the SIGMORPHON/CONLL 2019 Shared Task 2.
A Python3 package for extracting syntactic complexity measures from CoNLL-U annotations.
ELSA combines extractive and abstractive approaches to the automatic text summarization
Methods to lemmatize Old French using different tools
A repo dedicated to automatic annotation with NLP or AI frameworks and modules.
Detect duplicates between large number of articles and store only a single copy of each article.
Explore your Twitter activity with R: Sentiment Analysis and Data Visualization. How to analyze your Twitter account (or any account), discover your habits and sentiments with the "rtweet" package and NLP.
R replication files for the estimates and findings reported in the article Bureaucratic ‘Reinterpretation’ of Leaders’ Ideologies: A Case Study of People's Daily's Commentary on Xi Jinping Thought on Diplomacy (Chinese title: 官僚「再詮釋」領導人意識形態:以《人民日報》習近平外交思想的評論為例).
UDPipe containerized module for Russian and English (use with isanlp library).
Flutter library and demo app for UDPipe 1 — tokenization, POS tagging and dependency parsing for 50+ languages. Runs natively on Windows, Linux, macOS, Android, iOS and via WASM on Web.
Natural language processing in Urdu, to create resources.
Project of TextMining Course: an analysis on Amazon Alexa Echo Dot
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