-
by collecting and analysing data on multimodal communication in great apes, focusing on gestures, vocalizations, and facial expressions. Studies will also consider contextual information such as
-
. the analyses of speech acts, presupposition and implicature an interest in considering literary texts as a data source. The project offers a cohesive interdisciplinary research environment at the University
-
of great ape communication to identify evolutionary trends and simulate dynamics that might explain the evolution of common ground in humans. For more information see the following representative articles
-
corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
-
morphology (future and conditional) in Spanish, Italian and French. On the empirical side, the project will deliver a theoretically informed cross-linguistic description based on data collected via
-
preference in the hiring process. The University of Tübingen is committed to equal opportunities and diversity. It therefore takes individual situations into account and asks for relevant information