Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Recommended product

Popular links

Popular links


Reading Computer-Generated Texts

Reading Computer-Generated Texts

Reading Computer-Generated Texts

Author:
Leah Henrickson, University of Leeds
Published:
February 2021
Availability:
Available
Format:
Paperback
ISBN:
9781108822862

Looking for an examination copy?

This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.

$18.00
USD
Paperback
$18.00 USD
eBook

    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.

    Product details

    February 2021
    Paperback
    9781108822862
    75 pages
    180 × 125 × 5 mm
    0.1kg
    Available

    Table of Contents

    • 1. Introduction
    • 2. Discovering Natural Language Generation
    • 3. The Development of Authorship
    • 4. Algorithmic Authorship and Agency
    • 5. Conclusion.
      Author
    • Leah Henrickson , University of Leeds