Fr. 24.90

Verbal Irony: Theories and Automatic Detection

English, German · Paperback / Softback

Shipping usually within 1 to 2 weeks (title will be printed to order)

Description

Read more

Seminar paper from the year 2010 in the subject Speech Science / Linguistics, grade: 1,0, Saarland University (Computerlinguistik), course: Computational Approaches to Creative Language, language: English, abstract: Human communication often involves the use of irony. In many cases, it is far from obvious if an utterance is meant ironical or not. Context and world knowledge are needed to discriminate literal from ironic intent.Linguists have worked on describing the nature of irony and come up with ideas which reflect the intuitive understanding of irony.Parallely, computational linguists are confronted with the challenge of automatically detecting irony. When an utterance contains irony, the only chance of getting the intent, is understanding and interpreting the irony in it.I review different theories of irony in chapter 2.Chapter 3 describes the state-of-the-art of automatic irony detection, covers the importance of corpus study for future research and proposes a fusion between theory, corpus study and automatic detection.

Product details

Authors Michael Fell
Publisher Grin Verlag
 
Languages English, German
Product format Paperback / Softback
Released 03.01.2012
 
EAN 9783656093466
ISBN 978-3-656-09346-6
No. of pages 36
Dimensions 148 mm x 210 mm x 4 mm
Weight 68 g
Series Akademische Schriftenreihe
Akademische Schriftenreihe, Bd. V184355
Akademische Schriftenreihe
Akademische Schriftenreihe Bd. V184355
Subject Humanities, art, music > Linguistics and literary studies > General and comparative linguistics

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.