Studies on representativeness have shown that the size and teh content of a corpus are strictly interdependent factors and that while a small corpus cannot guarantee adequate representation of general language, it is equally true that "specialist" language, charcaterizing a register or a genre, may not be adequately represented in large corpora. However, while issues related to the representativeness of large corpora have been widely discussed in the literature, no such discussion has been carried out for small corpora and these have implicitly been considered as "non-representative". In this paper I pose the problem of small corpus representativeness and of criteria used particularly in the design of small corpora of specialist language used in ESP teaching and learning environments.

Some thoughts on the problem of rtepresenting ESP through small corpora / Gavioli, Laura. - STAMPA. - (2002), pp. 293-303.

Some thoughts on the problem of rtepresenting ESP through small corpora

GAVIOLI, Laura
2002

Abstract

Studies on representativeness have shown that the size and teh content of a corpus are strictly interdependent factors and that while a small corpus cannot guarantee adequate representation of general language, it is equally true that "specialist" language, charcaterizing a register or a genre, may not be adequately represented in large corpora. However, while issues related to the representativeness of large corpora have been widely discussed in the literature, no such discussion has been carried out for small corpora and these have implicitly been considered as "non-representative". In this paper I pose the problem of small corpus representativeness and of criteria used particularly in the design of small corpora of specialist language used in ESP teaching and learning environments.
2002
Teaching and learning by doing corpus analysis
9789042014503
Rodopi
PAESI BASSI
Some thoughts on the problem of rtepresenting ESP through small corpora / Gavioli, Laura. - STAMPA. - (2002), pp. 293-303.
Gavioli, Laura
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/461850
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact