Lost in Text: A Cross-Genre Analysis of Linguistic Phenomena within Text

Moving from the assumption that formal, rather than content features, can be used to detect differences and similarities among textual genres and registers, this paper presents a new approach to linguistic profiling – a well-established methodological framework to study language variation – which is...

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Autores principales:	Chiara Buongiovanni, Francesco Gracci, Dominique Brunato, Felice Dell’Orletta
Formato:	article
Lenguaje:	EN
Publicado:	Accademia University Press 2020
Materias:	Social Sciences H Computational linguistics. Natural language processing P98-98.5
Acceso en línea:	https://doaj.org/article/c78c1902042a460890acd0568821c15f
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spelling	oai:doaj.org-article:c78c1902042a460890acd0568821c15f2021-12-02T09:52:23ZLost in Text: A Cross-Genre Analysis of Linguistic Phenomena within Text2499-455310.4000/ijcol.634https://doaj.org/article/c78c1902042a460890acd0568821c15f2020-06-01T00:00:00Zhttp://journals.openedition.org/ijcol/634https://doaj.org/toc/2499-4553Moving from the assumption that formal, rather than content features, can be used to detect differences and similarities among textual genres and registers, this paper presents a new approach to linguistic profiling – a well-established methodological framework to study language variation – which is applied to detect significant variations within the internal structure of a text. We test this approach on the Italian language using a wide spectrum of linguistic features automatically extracted from parsed corpora representative of four main genres and two levels of complexity for each, and we show that it is possible to model the degree of stylistic variance within texts according to genre and language complexity.Chiara BuongiovanniFrancesco GracciDominique BrunatoFelice Dell’OrlettaAccademia University PressarticleSocial SciencesHComputational linguistics. Natural language processingP98-98.5ENIJCoL, Vol 6, Iss 1, Pp 47-61 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Social Sciences H Computational linguistics. Natural language processing P98-98.5
spellingShingle	Social Sciences H Computational linguistics. Natural language processing P98-98.5 Chiara Buongiovanni Francesco Gracci Dominique Brunato Felice Dell’Orletta Lost in Text: A Cross-Genre Analysis of Linguistic Phenomena within Text
description	Moving from the assumption that formal, rather than content features, can be used to detect differences and similarities among textual genres and registers, this paper presents a new approach to linguistic profiling – a well-established methodological framework to study language variation – which is applied to detect significant variations within the internal structure of a text. We test this approach on the Italian language using a wide spectrum of linguistic features automatically extracted from parsed corpora representative of four main genres and two levels of complexity for each, and we show that it is possible to model the degree of stylistic variance within texts according to genre and language complexity.
format	article
author	Chiara Buongiovanni Francesco Gracci Dominique Brunato Felice Dell’Orletta
author_facet	Chiara Buongiovanni Francesco Gracci Dominique Brunato Felice Dell’Orletta
author_sort	Chiara Buongiovanni
title	Lost in Text: A Cross-Genre Analysis of Linguistic Phenomena within Text
title_short	Lost in Text: A Cross-Genre Analysis of Linguistic Phenomena within Text
title_full	Lost in Text: A Cross-Genre Analysis of Linguistic Phenomena within Text
title_fullStr	Lost in Text: A Cross-Genre Analysis of Linguistic Phenomena within Text
title_full_unstemmed	Lost in Text: A Cross-Genre Analysis of Linguistic Phenomena within Text
title_sort	lost in text: a cross-genre analysis of linguistic phenomena within text
publisher	Accademia University Press
publishDate	2020
url	https://doaj.org/article/c78c1902042a460890acd0568821c15f
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Lost in Text: A Cross-Genre Analysis of Linguistic Phenomena within Text

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