Christian?Chiarcos?is a computer scientist and linguist with a specialization in the processing of heterogeneous linguistic data. Following studies at Technical 新万博体育下载_万博体育app【投注官网】 Berlin, Humboldt 新万博体育下载_万博体育app【投注官网】 Berlin and 新万博体育下载_万博体育app【投注官网】 of Potsdam, Germany, he received a PhD in Computational Linguistics in 2010, with a thesis on anaphora and information structure in the context of natural language generation.

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Besides a general research focus on computational semantics and discourse, he has worked on matters of interoperability in natural language processing, linguistics and the philologies since 2005, and has subsequently become an expert on creating, maintaining, processing and consolidating linguistic data.?Following his PhD studies, he joined the Information Sciences Institute of the 新万博体育下载_万博体育app【投注官网】 of Southern California. From 2013 to 2022, he has been Professor (W1) at the Institute for Computer Science at Goethe 新万博体育下载_万博体育app【投注官网】 Frankfurt, Germany, and heading the Applied Computational Linguistics (ACoLi) Lab. He has been leading the Early Carreer Research Group “LiODi. Linked Open Dictionaries” funded by the German Federal Ministry of Education and Research (BMBF, 2015-2022) and has been active in a large number of German, European and international research projects. In May 2022, he joined the Cologne Center for eHumanities (CCeH) and has been working at the Institute for Digital Humanities at the 新万博体育下载_万博体育app【投注官网】 of Cologne, Germany. In January 2023, he was appointed chair (W3) for Applied Computational Linguistics at the 新万博体育下载_万博体育app【投注官网】 of Augsburg.

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Aside from research interests in computational semantics and language technology, his recent activities include applications of these technologies in the language sciences, in the industry and in the humanities, with notable results such as the first syntactic parser for medieval German (Middle High German, 2018), the publication of the first machine-generated science book (2019: Lithium-Ion Batteries. A Machine-Generated Summary of Current Research, Springer, Cham), and the first machine translation system for Sumerian cuneiform (2020).

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