Cel "This proposal describes a highly interdisciplinary approach to the empirical study of cultural language evolution. It draws on ideas and methods from *historical linguistics and typology*, *natural language processing*, *biology*, *bioinformatics*, *computer science*, and *statistics*.The computer aided study of cultural language evolution has seen a tremendous upturn over the past fifteen years. This comprises both model-driven approaches - studying the consequences of design assumptions regarding language production, comprehension, and learning for their long-term population-wide consequences - and data-driven approaches that employ algorithmic techniques from bioinformatics to recover otherwise inaccessible information about language history. At the current junction, the field faces two challenges:- The specifics of language evolution - which includes parallels with but also key differences to biological evolution - require central attention.- Model-driven and data-driven approaches need to inform each other to achieve explanatory power and to assess the statistical significance of the findings.The project will establish a radically data-oriented framework for the study of language evolution. This includes three aspects:- replacing the off-the-shelf tools from bioinformatics that are currently in use in computational language classification by linguistically informed algorithms, esp.\ *multiple sequence alignment techniques*,- identifying characteristic traits of language evolution via *exploratory data analysis*, guided by the theory of *complex systems* and employing cutting-edge methods from *machine learning* such as *kernel methods* and *causal inference*, and- developing, implementing and testing models of language evolution that correctly predict the *statistical fingerprints of language evolution*, i.e. pay sufficient attention to the domain specific features of language evolution that have no counterpart in biological evolution." Dziedzina nauki humanitieslanguages and literaturelinguisticshumanitieshistory and archaeologyhistorynatural sciencescomputer and information sciencesdata sciencenatural language processingnatural sciencescomputer and information sciencesartificial intelligencemachine learningsocial sciencespsychologypsycholinguistics Program(-y) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Temat(-y) ERC-AG-SH4 - ERC Advanced Grant - The Human Mind and its complexity Zaproszenie do składania wniosków ERC-2012-ADG_20120411 Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-AG - ERC Advanced Grant Instytucja przyjmująca EBERHARD KARLS UNIVERSITAET TUEBINGEN Wkład UE € 2 003 580,00 Adres GESCHWISTER-SCHOLL-PLATZ 72074 Tuebingen Niemcy Zobacz na mapie Region Baden-Württemberg Tübingen Tübingen, Landkreis Rodzaj działalności Higher or Secondary Education Establishments Kierownik naukowy Gerhard Jäger (Prof.) Kontakt administracyjny Friedrich Hamm (Prof.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych Beneficjenci (1) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko EBERHARD KARLS UNIVERSITAET TUEBINGEN Niemcy Wkład UE € 2 003 580,00 Adres GESCHWISTER-SCHOLL-PLATZ 72074 Tuebingen Zobacz na mapie Region Baden-Württemberg Tübingen Tübingen, Landkreis Rodzaj działalności Higher or Secondary Education Establishments Kierownik naukowy Gerhard Jäger (Prof.) Kontakt administracyjny Friedrich Hamm (Prof.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych
