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
9791280136008
linguistic profiling
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/390429
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact