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TU Darmstadt » Informatik » UKP » Data » Lexical Resources » UBY


UBY - A Large-Scale Unified Lexical-Semantic Resource

UBY is a large-scale lexical-semantic resource for natural language processing (NLP) based on the ISO standard Lexical Markup Framework (LMF). UBY combines a wide range of information from expert-constructed and collaboratively constructed resources for English and German. Currently, UBY integrates 12 resources in two languages by linking them pairwise at the word sense level:

Most UBY related software is developed open source on GitHub.

We offer UBY databases with open resources for download:

There is also a Semantic Web version of UBY called lemonUby, created in collaboration with John McCrae (CITEC, Universität Bielefeld) and Christian Chiarcos (ACoLi, Goethe-University Frankfurt am Main). Find out more on the lemonUby website.



We provide a commented list of  selected UBY related publications on the Publications page.


UBY contains interoperable lexicons represented in a standard-compliant format called UBY-LMF.

Visual Browser

The UBY Web Interface is currently being revised. Find out more about the redesign of the visualization component - the Visual Browser.


In alphabetical order:

Former members:

  • Yevgen Chebotar
  • Dr. Kostadin Cholakov
  • Dr. des. Silvana Hartmann
  • Mohamed Khemakhem
  • Zijad Maksuti
  • Dr. Michael Matuschek
  • Tri-Duc Nghiem
  • Christian Wirth
  • Than-Le Ha

UKP News

2017.11.02 13:20 Job: Independent Research Group Leader "Natural Language Processing for the Humanities"

The Department of Computer Science of Technische Universität Darmstadt seeks to fill an Independent...

2017.11.02 12:59 Job offers: Associate Research Scientist and PostDoc / Senior Researcher

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische...

2017.10.05 13:05 GSCL doctoral thesis award in memory of Wolfgang Hoeppner

The German Society for Computational Linguistics (GSCL) is to award a prize for an excellent...

2017.09.18 12:27 Job offer: PhD-level Researchers

The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES),...

2017.09.01 10:48 IJCNLP 2017 accepts one UKP/AIPHES paper

One long paper from authors affiliated to UKP and the research training group AIPHES has been...

More news...

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