Linguistic Corpora and Big Data in Spanish and Portuguese - Calderón Campos, Miguel; Vaamonde, Gael; (ed.) - Prospero Internet Bookshop

Linguistic Corpora and Big Data in Spanish and Portuguese
 
Product details:

ISBN13:9783110781458
ISBN10:311078145X
Binding:Hardback
No. of pages:237 pages
Size:230x155 mm
Weight:468 g
Language:English
Illustrations: 42 Tables, black & white; 34 Illustrations, black & white; 6 Illustrations, color
680
Category:

Linguistic Corpora and Big Data in Spanish and Portuguese

 
Edition number: 1
Publisher: De Gruyter
Date of Publication:
 
Normal price:

Publisher's listprice:
EUR 104.95
Estimated price in HUF:
45 621 HUF (43 449 HUF + 5% VAT)
Why estimated?
 
Your price:

43 340 (41 277 HUF + 5% VAT )
discount is: 5% (approx 2 281 HUF off)
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
 
Availability:

Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Can't you provide more accurate information?
 
  Piece(s)

 
Short description:

The series presents interdisciplinary studies harnessing humanistic as well as digital tools to offer innovative approaches to literary studies, linguistics, critical theory and philosophy in the 21st-century Ibero-American space. Along three main lines of research - digital corpora, experimental linguistics, and the relation between literature, critique and big data - it transcends dataism to open new perspectives within Digital Humanities.

Long description:

In recent decades, corpus linguistics has experienced tremendous development in the Hispanic world, along two opposite but complementary approaches: increase in corpus size (corpus linguistics as Big Data) and improvement in document selection and data annotation (corpus linguistics as High Quality Data). The first approach has led to the creation of massive corpora such as EsTenTen; at the same time, it has promoted the use of the web and social networks as corpora. The second perspective gives rise to specialized corpora such as Post Scriptum or Oralia Diacrónica del espa?ol (ODE). The contributions gathered in this volume combine both methods in order to exploit their advantages and to overcome their possible limitations. On the one hand, it addresses the creation and design of small corpora focused on data quality; on the other hand, it offers case studies that make use of both specialized corpora and massive data extracted from the web. Highlighting the complementary nature of both methods is the main idea of this book.