TreetaggerUD

TreetaggerUD is a computational linguistics tool that performs part-of-speech tagging and lemmatization on text. It is an adaptation of the original Treetagger, a widely used tagger developed by Helmut Schmid, specifically designed to work with Universal Dependencies (UD) datasets. Universal Dependencies is a project that aims to provide a consistent framework for part-of-speech tagging and dependency parsing across different languages. TreetaggerUD leverages the principles and annotation schemes of UD to produce standardized linguistic annotations.

The tool takes plain text as input and outputs a sequence of tokens, each accompanied by its part-of-speech tag and lemma. The part-of-speech tags follow the UD tagset, which is designed to be language-independent and cover a broad range of grammatical categories. Lemmatization, the process of reducing a word to its base or dictionary form, is also performed according to UD guidelines. TreetaggerUD is particularly useful for researchers and developers working with multilingual natural language processing tasks, as it facilitates cross-linguistic analysis and comparison of linguistic data. Its development has been driven by the need for consistent annotation across the diverse languages covered by the Universal Dependencies project.