Pierantoni, Alessandra
(2023)
Italian word lists and academic language: a corpus-based study of student writing.
[Laurea magistrale], Università di Bologna, Corso di Studio in
Specialized translation [LM-DM270] - Forli'
Documenti full-text disponibili:
|
Documento PDF (Thesis)
Disponibile con Licenza: Salvo eventuali più ampie autorizzazioni dell'autore, la tesi può essere liberamente consultata e può essere effettuato il salvataggio e la stampa di una copia per fini strettamente personali di studio, di ricerca e di insegnamento, con espresso divieto di qualunque utilizzo direttamente o indirettamente commerciale. Ogni altro diritto sul materiale è riservato
Download (1MB)
|
Abstract
Analyzing vocabulary choices made by students for their writing tasks is important to better understand the way young pupils express themselves in academic contexts. Studies of academic language based on corpora or on word lists have been conducted for many years now, but despite this, there are not many first language (L1) student corpora focusing on academic writing, and word lists are primarily used for analyzing second language (L2) vocabulary. This is the one of the first empirical studies on an L1 Italian corpus of student writing which aims to explore how relevant Italian word lists are for texts written by native speakers, in particular if the words present in the lists are representative of the way young people write. The analyses conducted for this research pave the way for more in-depth examination of word lists, especially for L1 native speakers, and of Italian academic language knowledge and acquisition in high school. Using software for vocabulary profiling and corpus analysis, the potential of word lists will be discussed, to see if they can also be used as a learning tool by L1 students and not just by L2 learners, who were the original target of this type of resource. An exploration of the possibilities offered by using of word lists could also have implications for teaching and for the research focusing on young people and academic language.
Abstract
Analyzing vocabulary choices made by students for their writing tasks is important to better understand the way young pupils express themselves in academic contexts. Studies of academic language based on corpora or on word lists have been conducted for many years now, but despite this, there are not many first language (L1) student corpora focusing on academic writing, and word lists are primarily used for analyzing second language (L2) vocabulary. This is the one of the first empirical studies on an L1 Italian corpus of student writing which aims to explore how relevant Italian word lists are for texts written by native speakers, in particular if the words present in the lists are representative of the way young people write. The analyses conducted for this research pave the way for more in-depth examination of word lists, especially for L1 native speakers, and of Italian academic language knowledge and acquisition in high school. Using software for vocabulary profiling and corpus analysis, the potential of word lists will be discussed, to see if they can also be used as a learning tool by L1 students and not just by L2 learners, who were the original target of this type of resource. An exploration of the possibilities offered by using of word lists could also have implications for teaching and for the research focusing on young people and academic language.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Pierantoni, Alessandra
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
CURRICULUM SPECIALIZED TRANSLATION
Ordinamento Cds
DM270
Parole chiave
academic language,vocabulary,word lists,corpus
Data di discussione della Tesi
15 Dicembre 2023
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Pierantoni, Alessandra
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
CURRICULUM SPECIALIZED TRANSLATION
Ordinamento Cds
DM270
Parole chiave
academic language,vocabulary,word lists,corpus
Data di discussione della Tesi
15 Dicembre 2023
URI
Statistica sui download
Gestione del documento: