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Computational Lexicology and CLTL

The VU Computational Lexicology (Linguistics) group runs the CLTL: Computational Linguistics and Text Mining Lab, which studies how computers can model language and communication and how this technology can be used for different applications.

CLTL studies how computers can model language and communication and how this technology can be used. This results in different applications, such as text mining, translation, hate-speech detection and moderation, language-learning, summarisation and human-robot interaction. 

CLTL products and research

CLTL offers a variety of Natural Language Processing tools and resources. Our software, including Large Language Models, is available on Hugging Face and our open-source code can be accessed on GitHub. We also provide language resources like annotated corpora and lexicons. Popular examples are the Open Dutch Wordnet and Framenet, key resources for Dutch.

Our research covers languages worldwide. One significant project is the Global Wordnet Association and the Global Wordnet Grid. This project aims to represent many languages' vocabularies as semantic networks or wordnets, connecting them through a universal index of meaning. Studying this grid helps us understand the commonalities and unique features of different languages and the roles and functions of words and expressions.

Join us at VU Amsterdam and become part of a leading international research community!

VU CLTL education

  • Master's Text Mining

    The Master's program in Text Mining at VU Amsterdam is ideal for those fascinated by language and technology. It's open to students from linguistics, computer science, AI, and other disciplines like humanities, social science, medicine, law, finance, and business. 

    The program offers foundational training in linguistics and programming to ensure all students start on the same level. You'll learn to use AI techniques to analyze text data and understand the possibilities and limitations. The program includes a research thesis project, often done during an internship. Graduates have diverse career opportunities, including PhD research, roles in research institutes, and positions in the language industry. 

    Find out all about the master's Text Mining >

  • Master's Human Language Technology

    Human Language Technology is an exciting and rapidly evolving research field. As current Humanities research increasingly relies on Big Data, expertise in language technology becomes invaluable. CLTL offers a specialized track within the Research Master Humanities, where students receive cutting-edge training in human language technology and natural language processing.


    Students in this program gain a robust understanding of the technologies behind computer applications like search engines and the linguistic theories that inform them. Our curriculum bridges the gap between technology and linguistics, preparing you for a dynamic career in the field. 

    Find out all about the master's Human Language Technology >