Introduction to statistical methods in linguistics with Python
Autor: | Roulois, Alexandre |
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Přispěvatelé: | Laboratoire de Linguistique Formelle (LLF UMR7110), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Centre de civiliation française, Wioletta Miskiewicz, Roulois, Alexandre |
Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Linguistics computationnal
[SHS.INFO]Humanities and Social Sciences/Library and information sciences Statistics Python programmation [SHS.LANGUE]Humanities and Social Sciences/Linguistics [SHS.LANGUE] Humanities and Social Sciences/Linguistics [SHS.INFO] Humanities and Social Sciences/Library and information sciences |
Zdroj: | Humanistyka cyfrowa : projekty, ludzie, teoria 2 Humanistyka cyfrowa : projekty, ludzie, teoria 2, Centre de civiliation française, Dec 2015, Varsovie, Poland |
Popis: | International audience; Statistics is a quantitative approach to research. Its relationship with math and science makes it at best ignored by the humanities community, at worst avoided. Indeed, humanities are known to attract students who flee the hard sciences. Even sadly, quantitative data are sometimes wrongly accused to destroy the "magic" in literary texts. On the contrary, I intend to demonstrate in my presentation that statistics can contribute to linguistics.There is another false idea that grows in the mind of students in humanities I want to fight: programing is only for math people. As a matter of fact, programing has more to do with logic and linguistics than we would have thought. It is just like learning a new language and who is better at this than a student in humanities?With only a few tools, we will build a program in Python that analyse a multilingual corpus of various texts (fiction, essay) and gives quantitative data and graphs as well. |
Databáze: | OpenAIRE |
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