This article proposes a research perspective on morphological and lexical data based on an integrated approach that merges linguistic theory and computational analyses of a large quantity of textual data. Starting from a description of the units and processes of morphology, and of the issues they raise, we discuss to what extent these theoretical notions can be translated into the algorithmic procedures of Natural Language Processing (NLP) and what resources and methods are nowadays available to make morphological and lexical knowledge explicit within texts. At the same time, we explore the repercussions that the application of computational (but also psycho-/neuro-linguistic) techniques may have on our theoretical representations and on their plausibility.

Francesca Masini, Vito Pirrelli (2020). L’evidenza morfologica nell’era digitale: per un’integrazione di teoria e computazione. QUADERNI DI SEMANTICA, VI (n.s.), 77-126.

L’evidenza morfologica nell’era digitale: per un’integrazione di teoria e computazione

Francesca Masini
Primo
;
2020

Abstract

This article proposes a research perspective on morphological and lexical data based on an integrated approach that merges linguistic theory and computational analyses of a large quantity of textual data. Starting from a description of the units and processes of morphology, and of the issues they raise, we discuss to what extent these theoretical notions can be translated into the algorithmic procedures of Natural Language Processing (NLP) and what resources and methods are nowadays available to make morphological and lexical knowledge explicit within texts. At the same time, we explore the repercussions that the application of computational (but also psycho-/neuro-linguistic) techniques may have on our theoretical representations and on their plausibility.
2020
Francesca Masini, Vito Pirrelli (2020). L’evidenza morfologica nell’era digitale: per un’integrazione di teoria e computazione. QUADERNI DI SEMANTICA, VI (n.s.), 77-126.
Francesca Masini; Vito Pirrelli
File in questo prodotto:
Eventuali allegati, non sono esposti

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/11585/802144
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact