The language technology lab carries out research in the field of Natural Language Processing. We mainly focus on two areas of specialization:
We are committed to reproducible and replicable research. Thus, we generally make all research software publicly available.
The German Research Foundation (DFG) funds a new network on “Personalized Language Learning” (German title: “INDUS – Individualisiertes Sprachlernen: Sprachtechnologische Ansätze und ihre Schnittstellen”)
The network brings together researchers from many disciplines like computer science, linguistics, educational research, psychology, and language acquisition. Together they will examine how technology can help to personalize language learning in order to make the learning process more effective and (hopefully) more fun, too.
Website of the network: https://sites.google.com/site/indusnetzwerk/
“Towards Automatic Scoring of Cloze Items by Selecting Low-Ambiguity Contexts“
by Tobias Horsman & Torsten Zesch
was accepted at the 3rd workshop on NLP for computer-assisted language learning in Uppsala, Sweden.
The article “Predicting the Difficulty of Language Proficiency Tests”
by Lisa Beinborn, Torsten Zesch, Iryna Gurevych
has been published in the second volume of the Transaction of the ACL (TACL) journal.