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Crowdsourcing de diversidad léxica

Hadi Khalilia^1,2, Jahna Otterbacher³, Gábor Bella⁴

¹Department of Information Engineering and Computer Science, University of Trento, Trento, Italy.

Frontiers in artificial intelligence

|December 22, 2025

Resumen

Este estudio presenta un método de crowdsourcing para reducir el sesgo en los recursos léxico-semánticos (LSR). La plataforma LingoGap identifica brechas léxicas multilingües, mejorando la calidad de los datos lingüísticos.

Área de la Ciencia:

Lingüística Computacional; Lexicografía; Antropología Cultural

Sus antecedentes:

Los recursos léxico-semánticos (LSR) son cruciales para el PNL y los estudios lingüísticos.; Los LSR existentes a menudo muestran un sesgo cultural inglés/anglosajón, carecen de conceptos nativos e indican intraducibilidad (brechas léxicas).

Objetivo del estudio:

Proponer y validar una nueva metodología de crowdsourcing para reducir el sesgo en los LSR.; Abordar el problema de las brechas léxicas multilingües y mejorar la especificidad cultural en los recursos lingüísticos.

Principales métodos:

Se desarrolló la plataforma de crowdsourcing LingoGap para la comparación de lexemas basada en microtareas entre idiomas.; Los trabajadores de crowdsourcing identificaron términos equivalentes, términos específicos del idioma y brechas léxicas, centrándose en dominios culturalmente ricos como la comida y el parentesco.

Principales resultados:

Se aplicó el método a la terminología de inglés-árabe (comida) e indonesio-banjarese (comida).; Se identificaron 2140 brechas léxicas entre inglés y árabe, y 951 entre indonesio y banjarese.

Conclusiones:

La metodología de crowdsourcing LingoGap es eficaz para identificar y reducir el sesgo en los LSR.; La plataforma es una herramienta viable para el enriquecimiento de léxicos a gran escala y para abordar las brechas léxicas multilingües.

Palabras clave:

crowdsourcing diversidad lingüística tipología léxica brecha lingüística léxico multilingüe

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