Obiettivo "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." Campo scientifico humanitieslanguages and literaturelinguisticshumanitieshistory and archaeologyhistorynatural sciencescomputer and information sciencesdata sciencenatural language processingnatural sciencescomputer and information sciencesartificial intelligencemachine learningsocial sciencespsychologypsycholinguistics Programma(i) 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) Argomento(i) ERC-AG-SH4 - ERC Advanced Grant - The Human Mind and its complexity Invito a presentare proposte ERC-2012-ADG_20120411 Vedi altri progetti per questo bando Meccanismo di finanziamento ERC-AG - ERC Advanced Grant Istituzione ospitante EBERHARD KARLS UNIVERSITAET TUEBINGEN Contributo UE € 2 003 580,00 Indirizzo GESCHWISTER-SCHOLL-PLATZ 72074 Tuebingen Germania Mostra sulla mappa Regione Baden-Württemberg Tübingen Tübingen, Landkreis Tipo di attività Higher or Secondary Education Establishments Ricercatore principale Gerhard Jäger (Prof.) Contatto amministrativo Friedrich Hamm (Prof.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato Beneficiari (1) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto EBERHARD KARLS UNIVERSITAET TUEBINGEN Germania Contributo UE € 2 003 580,00 Indirizzo GESCHWISTER-SCHOLL-PLATZ 72074 Tuebingen Mostra sulla mappa Regione Baden-Württemberg Tübingen Tübingen, Landkreis Tipo di attività Higher or Secondary Education Establishments Ricercatore principale Gerhard Jäger (Prof.) Contatto amministrativo Friedrich Hamm (Prof.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato