bert's Interpretation of Literalmente 'Literally': What Deep Learning Models Can Tell Us about Synchronic Layering and Diachronic Shifts

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AKTQA68UK" target="_blank" >RIV/00216208:11320/26:KTQA68UK - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1163/23526416-bja10079" target="_blank" >http://dx.doi.org/10.1163/23526416-bja10079</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1163/23526416-bja10079" target="_blank" >10.1163/23526416-bja10079</a>

Jazyk výsledku

angličtina

Název v původním jazyce

bert's Interpretation of Literalmente 'Literally': What Deep Learning Models Can Tell Us about Synchronic Layering and Diachronic Shifts

Popis výsledku v původním jazyce

How do language models disambiguate semantically and pragmatically complex and polysemic meanings? In this study, we present a computational approach to the analysis of Spanish's polysemic literalmente 'literally, ' an adverb whose meaning and pragmatic functions range from strict word-by-word denotation to (inter)subjective intensification and emphasis. Focusing on the Spanish pre-trained bert model -beto-, two objectives are pursued: i) to shed light onto how artificial language processors interpret pragmatically polyfunctional and semantically polysemic words, and ii) to showcase how the contextual cues drawn on by an artificial language processor can help elucidate semantic polysemy and change in natural language. Using Local Interpretable Model-Agnostic Explanations (lime), our results show that more innovative and grammaticalized uses exhibit a higher degree of syntactic polyfunctionality. We discuss parallelisms and cross-pollination potential between the uncovered computational dynamics of polysemic literalmente and theories of grammaticalization and semantic change. © Johnatan E. Bonilla et al, 2025.

Název v anglickém jazyce

bert's Interpretation of Literalmente 'Literally': What Deep Learning Models Can Tell Us about Synchronic Layering and Diachronic Shifts

Popis výsledku anglicky

How do language models disambiguate semantically and pragmatically complex and polysemic meanings? In this study, we present a computational approach to the analysis of Spanish's polysemic literalmente 'literally, ' an adverb whose meaning and pragmatic functions range from strict word-by-word denotation to (inter)subjective intensification and emphasis. Focusing on the Spanish pre-trained bert model -beto-, two objectives are pursued: i) to shed light onto how artificial language processors interpret pragmatically polyfunctional and semantically polysemic words, and ii) to showcase how the contextual cues drawn on by an artificial language processor can help elucidate semantic polysemy and change in natural language. Using Local Interpretable Model-Agnostic Explanations (lime), our results show that more innovative and grammaticalized uses exhibit a higher degree of syntactic polyfunctionality. We discuss parallelisms and cross-pollination potential between the uncovered computational dynamics of polysemic literalmente and theories of grammaticalization and semantic change. © Johnatan E. Bonilla et al, 2025.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Cognitive Semantics

ISSN

2352-6408

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

30

Strana od-do

1-30

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-105005518832