Cross-linguistic Mediated Communication: Hybrid Text Production English-Spanish



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Description
Hybrid text production today comprises machine translation chunks, human-produced paragraphs modelled on the writer’s L1, and generative AI contributions via prompting. This book explores how corpus-based cross-linguistic studies can contribute to building and optimising Natural Language Generation in multilingual contexts. The aim is to show how rich linguistic annotation can provide valuable data to enhance and refine hybrid text production. Corpus data are mined from CLANES, a multilayer English-Spanish comparable corpus annotated for PoS, semantic, rhetorical and pragmatic information. The study highlights the implications of leveraging LLMs for the automatic generation of domain-specific texts. It also addresses the new challenges and opportunities raised by AI-enhanced data augmentation and post-editing, stressing the need for human control over text generation.
Pages
280 pages
Collection
n.c
Parution
2025-07-04
Marque
Peter Lang AG, Internationaler Verlag der Wissenschaften
EAN papier
9783034351003
EAN PDF
9783034357920

Informations sur l'ebook
Nombre pages copiables
56
Nombre pages imprimables
56
Taille du fichier
5929 Ko
Prix
53,28 €
EAN EPUB
9783034357937

Informations sur l'ebook
Nombre pages copiables
56
Nombre pages imprimables
56
Taille du fichier
13793 Ko
Prix
53,28 €

Rosa Rabadán is a Professor at the Department of Modern Languages at the University of León, Spain. Her areas of interest include corpus-based contrast English-Spanish, translation, and language technology.

Noelia Ramón is an Associate Professor of English at the University of León. She is the current leader of the ACTRES research group, engaged in producing expert language data for the development of text-production applications in specialised domains.

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