Cross-linguistic Mediated Communication: Hybrid Text Production English-Spanish
Summary
Excerpt
Table Of Contents
- Cover
- Title Page
- Copyright Page
- Table of Contents
- List of Figures
- List of Tables
- Introduction: Hybrid text production across languages in the era of generative AI (Rosa Rabadán and Noelia Ramón)
- CLANES: A multilayer English-Spanish comparable corpus (Hugo Sanjurjo-González)
- 1. Introduction
- 2. Related work
- 3. ACM as corpus analysis software
- 4. The building of the CLANES corpus
- 5. Querying the CLANES corpus
- 6. Conclusions and further work
- Semantic processing and description of multiword expressions in CLANES (Leticia Moreno-Pérez and Belén López-Arroyo)
- 1. Introduction
- 2. Approaches to the management of MWEs
- 3. Method: processing MWEs in CLANES
- 4. Results
- 5. Data applications
- 6. Conclusions
- Contrasting pragmatic functions in CLANES: <Recommend> and <Suggest> (María Pérez Blanco and Marlén Izquierdo)
- 1. Introduction
- 2. CLANES: a domain-specific corpus for pragmatics research
- 3. Corpus Pragmatics and Speech Acts
- 4. Case study
- 5. Results
- 6. Discussion
- 7. Conclusion
- Unpacking the rhetorical structure of online food and drink descriptions (Isabel Pizarro Sánchez and María Teresa Ortego Antón)
- 1. Introduction
- 2. Move analysis and rhetorical annotation in academic and professional genres
- 3. Materials and methods
- 4. Rhetorical gold standard
- 5. Conclusions
- Human vs. ChatGPT corpus annotation: Data augmentation using LLM fine-tuning (Lucía Sanz-Valdivieso and Belén López-Arroyo)
- 1. Introduction
- 2. Natural Language Processing and Text Production Tools
- 3. Methodology
- 4. Results and Discussion
- 5. Conclusion
- Technology-assisted professional writing for Spanish-speaking users (Belén Labrador and Noelia Ramón)
- 1. Introduction
- 2. Working procedure
- 3. From comparable corpora to text generators
- 4. Results: ACTRES text-generators
- 5. Conclusions
- Post-editing grammatical interference (Rosa Rabadán, Ana García-Gallego and Hugo Sanjurjo-González)
- 1. Introduction
- 2. Post-editing
- 3. Interference
- 4. Method and data
- 5. Results and applicability
- 6. Conclusions
- Enhancing template-based text generation using Large Language Models (Hugo Sanjurjo-González, Rosa Rabadán and Noelia Ramón)
- 1. Introduction
- 2. A brief introduction to text generation technologies
- 3. Text Generation in ACTRES
- 4. Proposed enhancements with LLMs
- 5. Conclusions and further work
- References
- Index
- Notes on Contributors
Cross-linguistic Mediated Communication
Hybrid Text Production English-Spanish

Lausanne · Berlin · Bruxelles · Chennai · New York · Oxford
Bibliographic information published by the Deutsche Nationalbibliothek
The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data is available on the Internet at http://dnb.d-nb.de.
Library of Congress Cataloging-in-Publication
A record in the CIP catalog has been requested for this book of the Library of Congress.
Library of Congress Control Number: 2025004155
This publication has been funded by the Spanish Ministry for Science and Innovation (Grant PID2020-114064RB-I00 funded by Ministerio de Ciencia e Innovación-MCIN/AEI//10.13039/501100011033)

ISSN 1424-8689
ISBN 978-3-0343-5100-3 (Print)
E-ISBN 978-3-0343-5792-0 (E-PDF)
E-ISBN 978-3-0343-5793-7 (E-PUB)
DOI 10.3726/b22833
© 2025 Peter Lang Group AG, Lausanne, Switzerland
Published by Peter Lang Group AG, Lausanne, Switzerland
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Table of Contents
Introduction: Hybrid text production across languages in the era of generative AI
CLANES: A multilayer English-Spanish comparable corpus
Semantic processing and description of multiword expressions in CLANES
Contrasting pragmatic functions in CLANES: <RECOMMEND> and <SUGGEST>
Unpacking the rhetorical structure of online food and drink descriptions
Human vs. ChatGPT corpus annotation: Data augmentation using LLM fine-tuning
Technology-assisted professional writing for Spanish-speaking users
Post-editing grammatical interference
Enhancing template-based text generation using Large Language Models
Details
- Pages
- XII, 268
- Publication Year
- 2025
- ISBN (PDF)
- 9783034357920
- ISBN (ePUB)
- 9783034357937
- ISBN (Hardcover)
- 9783034351003
- DOI
- 10.3726/b22833
- Language
- English
- Publication date
- 2025 (July)
- Keywords
- Corpus Linguistics Writing aids Translation Post-editing Data augmentation Generative AI LLMs Text generators Multilayer annotation Pragmatic annotation Rhetorical annotation Fine-tuning Interference Multiword expressions Replicability
- Published
- Lausanne, Berlin, Bruxelles, Chennai, New York, Oxford, 2025. xii, 268 pp. 50 fig. b/w, 30 tables.
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