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<title>Human vs. ChatGPT corpus annotation: Data augmentation using LLM fine-tuning.</title>
<creator>Sanz Valdivieso, Lucia</creator>
<creator>López Arroyo, María Belén</creator>
<subject>Lingüística aplicada</subject>
<description>In this chapter, we explore the potential of Pretrained Large Language&#xd;
Models (PTMs) to serve as research and data enhancement tools towards&#xd;
the future development of multilingual text production applications.&#xd;
We aim to test ChatGPT’s ability to provide automatically annotated&#xd;
high-quality data compared to human manual annotation</description>
<date>2026-05-05</date>
<date>2026-05-05</date>
<date>2025</date>
<type>info:eu-repo/semantics/bookPart</type>
<identifier>Rabadán Álvarez, Rosa &amp; Ramón, Noelia (eds). Cross Linguístic Mediated Communication</identifier>
<identifier>978-3-0343-5100-3 (Print)</identifier>
<identifier>https://uvadoc.uva.es/handle/10324/84394</identifier>
<identifier>10.3726/b22833</identifier>
<language>eng</language>
<relation>https://www.peterlang.com/search?searchstring=rabadán&amp;display=25&amp;page=0&amp;field=fulltext&amp;sort=</relation>
<rights>info:eu-repo/semantics/restrictedAccess</rights>
<rights>Peter Lang</rights>
<publisher>Peter Lang</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>