Principle Investigator
Gerhard Jäger
GERHARD JÄGER is professor of general linguistics at Tübingen University, Germany. He has published on a variety of topics in theoretical and computational linguistics. His recent research is centered around game theoretic linguistics and the evolution of language.
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Members
Christian Bentz
CHRISTIAN BENTZ studied Germanistics, Economics and Philosophy at the University of Heidelberg, and has a Master in English and Applied Linguistics from the University of Cambridge. He wrote his PhD thesis in Computation, Cognition and Language at the University of Cambridge. Currently, he is a member of EVOLAEMP as well as the Words and Bones project at the University of Tuebingen (http://www.wordsandbones.uni-tuebingen.de). His research interests include language evolution, language change, complex systems, and information theory.
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Armin Buch
ARMIN BUCH studied General and Computational Linguistics in Tübingen, and wrote his PhD thesis on kernel methods in linguistics under the supervision of Gerhard Jäger. His current work within EVOLAEMP includes the development of a comprehensive cross-linguistic database and the automatic generation of concept lists.
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Johannes Dellert
JOHANNES DELLERT completed M.A. and B.A. degrees in the International Studies in Computational Linguistics program at the University of Tübingen. In parallel, he acquired a Diplom (M.S.) degree in computer science at the Department of Computer Science in Tübingen, with a minor in mathematics. His research focus is on the application of causal inference methods to problems of historical linguistics. He is particularly interested in the Uralic language family.
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Marisa Koellner (née Delz)
MARISA KOELLNER finished her B.A. and M.A. degrees in Generel Linguistics at the Department of Linguistics in Tübingen. In parallel, she studied Computational Linguistics in the International MA programme of the University of Tübingen. Her research focuses on phenomena and evolutionary events during language history and language change. For her current research, she adapts and implements phylogenetic methods for linguistics to detect evolutionary events during language evolution.
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Johannes Wahle
JOHANNES WAHLE studied General Linguistics both in the Bachelors and Masters program at the University of Tübingen. His current research interests are in the field of historical linguistics and how to apply Hidden Markov Models and their derivatives to alignment and reconstruction problems in historical linguistics.
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Former & Associated Members
Igor Yanovich
IGOR YANOVICH received a doctorate from the Massachusetts Institute of Technology with specialization in formal semantics. Working within EVOLAEMP in the winter semester of 2014, Igor developed a new technique of "dictionary correction" for lexical data criticism that estimates the robustness of computational phylogeny reconstruction to inaccuracies specific to linguistic datasets. His larger interests concerning the project involve phylogeny reconstruction algorithms that take as input richer linguistic representations than the state-of-the-art ones, thus increasing the accuracy of automatic identification of language relationships. Currently Igor pursues a project on mining semantic information about highly functional words (e.g., modals, indefinite pronouns or determiners) from small-size corpora, supported by the Alexander von Humboldt foundation.
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Taraka Rama
TARAKA RAMA is interested in cognate identification, Bayesian methods for language evolution, Phylogenetic inference, and modeling of contact situation in South Asia.
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Roland Mühlenbernd
ROLAND MÜHLENBERND is post doctorand in general linguistics and researcher and lecturer at the University of Tübingen. He has a bachelor degree in computer science, a master degree in interdisciplinary media science and a Ph.D. degree in general linguistics. His research interests particularly embrace 'pragmatics', 'language evolution' and 'language change', whereby a main objective is to model and analyze diachronic processes by applying formal models and mathematical methods, like decision/game theory and network theory.
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