Reading Computer-Generated Texts

Reading Computer-Generated Texts

 
Publisher: Cambridge University Press
Date of Publication:
 
Normal price:

Publisher's listprice:
GBP 12.49
Estimated price in HUF:
6 032 HUF (5 745 HUF + 5% VAT)
Why estimated?
 
Your price:

5 429 (5 171 HUF + 5% VAT )
discount is: 10% (approx 603 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)

 
 
 
 
Product details:

ISBN13:9781108822862
ISBN10:110882286X
Binding:Paperback
No. of pages:75 pages
Size:180x125x5 mm
Weight:100 g
Language:English
287
Category:
Short description:

Considers how natural language generation conforms to and confronts traditional understandings of authorship and what it means as a reader.

Long description:
Natural language generation (NLG) is the process wherein computers produce output in readable human languages. Such output takes many forms, including news articles, sports reports, prose fiction, and poetry. These computer-generated texts are often indistinguishable from human-written texts, and they are increasingly prevalent. NLG is here, and it is everywhere. However, readers are often unaware that what they are reading has been computer-generated. This Element considers how NLG conforms to and confronts traditional understandings of authorship and what it means to be a reader. It argues that conventional conceptions of authorship, as well as of reader responsibility, change in instances of NLG. What is the social value of a computer-generated text? What does NLG mean for modern writing, publishing, and reading practices? Can an NLG system be considered an author? This Element explores such question, while presenting a theoretical basis for future studies.
Table of Contents:
1. Introduction; 2. Discovering Natural Language Generation; 3. The Development of Authorship; 4. Algorithmic Authorship and Agency; 5. Conclusion.