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 the linguistic profiling methodology, which focuses on the internal parts of a text. A case study is presented showing that it is possible to model the degree of variance within texts representative of four traditional genres and two levels of complexity for each.

Lost in text. A cross-genre analysis of linguistic phenomena within text

Brunato D;Dell'Orletta F
2019

Abstract

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 the linguistic profiling methodology, which focuses on the internal parts of a text. A case study is presented showing that it is possible to model the degree of variance within texts representative of four traditional genres and two levels of complexity for each.
2019
Inglese
6th Italian Conference on Computational Linguistics (CLiC-it)
2481
9791280136008
http://www.scopus.com/record/display.url?eid=2-s2.0-85074846816&origin=inward
Sì, ma tipo non specificato
13-15/11/2019
Bari
linguistic profiling
2
none
Buongiovanni C.; Gracci F.; Brunato D.; Dell'Orletta F.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/390429
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