Identify the speech code through statistic: a data driven approach

Autor:	Andrea Briglia, Massimo Mucciardi, Jérémi Sauvage
Přispěvatelé:	Langages HUmanités Médiations Apprentissages Interactions Numérique (LHUMAIN), Université Paul-Valéry - Montpellier 3 (UPVM), University of Messina, SAUVAGE, Jérémi
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	[SHS.STAT]Humanities and Social Sciences/Methods and statistics [SHS.STAT] Humanities and Social Sciences/Methods and statistics [SHS.LANGUE]Humanities and Social Sciences/Linguistics [SHS.LANGUE] Humanities and Social Sciences/Linguistics ComputingMilieux_MISCELLANEOUS
Zdroj:	50th Scientific Meeting of the Italian Statistical Society SIS 2020 50th Scientific Meeting of the Italian Statistical Society SIS 2020, Jun 2020, Pise, Italy HAL
Popis:	International audience
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::836b286eb6e0bff05466bc0c05c33748 https://hal.archives-ouvertes.fr/hal-03161969 Zobrazit plný text záznamu