<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-16T02:12:01Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/84394" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/84394</identifier><datestamp>2026-05-08T06:48:08Z</datestamp><setSpec>com_10324_1154</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1291</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Sanz Valdivieso, Lucia</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>López Arroyo, María Belén</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2026-05-05T20:42:18Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2026-05-05T20:42:18Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2025</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Rabadán Álvarez, Rosa &amp; Ramón, Noelia (eds). Cross Linguístic Mediated Communication</mods:identifier>
<mods:identifier type="isbn">978-3-0343-5100-3 (Print)</mods:identifier>
<mods:identifier type="uri">https://uvadoc.uva.es/handle/10324/84394</mods:identifier>
<mods:identifier type="doi">10.3726/b22833</mods:identifier>
<mods:abstract>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</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/restrictedAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Peter Lang</mods:accessCondition>
<mods:subject>
<mods:topic>Lingüística aplicada</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Human vs. ChatGPT corpus annotation: Data augmentation using LLM fine-tuning.</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/bookPart</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>