Corpus-based and Computational Approaches to Discourse Anaphora

Editors
Simon Philip Botley | Lancaster University
ORCID logoTony McEnery | Lancaster University
HardboundAvailable
ISBN 9789027222725 (Eur) | EUR 105.00
ISBN 9781556193972 (USA) | USD 158.00
 
e-Book
ISBN 9789027298904 | EUR 105.00 | USD 158.00
 
Google Play logo
Discourse anaphora is a challenging linguistic phenomenon that has given rise to research in fields as diverse as linguistics, computational linguistics and cognitive science. Because of the diversity of approaches these fields bring to the anaphora problem, the editors of this volume argue that there needs to be a synthesis, or at least a principled attempt to draw the differing strands of anaphora research together. The selected papers in this volume all contribute to the aim of synthesis and were selected to represent the growing importance of corpus-based and computational approaches to anaphora description, and to developing natural language systems for resolving anaphora in natural language.
[Studies in Corpus Linguistics, 3] 2000.  vi, 258 pp.
Publishing status: Available
Table of Contents
Cited by

Cited by 3 other publications

Moreno-Pérez, Leticia
2019. Estudio descriptivo comparado de la variación sinonímica en el lenguaje jurídico inglés y español: implicaciones para la traducción. Meta 64:1  pp. 266 ff. DOI logo
Tsaknaki, Olympia
2022. Some Reflections on Reference in the Teaching of French as a Foreign Language Context. European Journal of Education 5:2  pp. 67 ff. DOI logo
Tsaknaki, Olympia
2022. Some Reflections on Reference in the Teaching of French as a Foreign Language Context. European Journal of Education 5:2  pp. 67 ff. DOI logo

This list is based on CrossRef data as of 16 march 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Subjects

Main BIC Subject

CF: Linguistics

Main BISAC Subject

LAN009000: LANGUAGE ARTS & DISCIPLINES / Linguistics / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  99043484 | Marc record