Can Grammarly and ChatGPT accelerate language change?: AI-powered technologies and their impact on the English language: wordiness vs. conciseness

• Autores: Karolina Rudnicka
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 71, 2023, págs. 205-214
• Idioma: varios idiomas
• Títulos paralelos:
  • ¿Pueden Grammarly y ChatGPT acelerar el cambio lingüístico?: Tecnologías basadas en IA y su impacto en la lengua inglesa: palabrería frente a concisión
• Enlaces
  • Texto completo
• Resumen
  • español

    La proliferación de tecnologías lingüísticas basadas en la PLN, los modelos de generación de lenguaje natural basados en la IA y el hecho de que el inglés sea un medio de comunicación mayoritario entre hablantes nativos y no nativos hacen que el resultado de estas herramientas resulte especialmente intrigante para los lingüistas. Este artículo investiga cómo Grammarly y ChatGPT están afectando a la lengua inglesa en lo que respecta a la concisión frente a la prolijidad. Se presenta un estudio de caso centrado en el subordinador de propósito in order to ilustrar cómo Grammarly y ChatGPT recomiendan estructuras gramaticales más cortas a cambio de otras más largas y elaboradas. Aunque las frases analizadas fueron producidas por hablantes nativos, son perfectamente correctas y se extrajeron de un corpus lingüístico de inglés contemporáneo, tanto Grammarly como ChatGPT sugieren más concisión y menos verbosidad, incluso para frases relativamente cortas. La presente comunicación sostiene que tecnologías como Grammarly no solo reflejan el cambio lingüístico, sino que también tienen el potencial de facilitarlo o acelerarlo.

  • English

    The proliferation of NLP-powered language technologies, AI-based natural language generation models, and English as a mainstream means of communication among both native and non-native speakers make the output of AI-powered tools especially intriguing to linguists. This paper investigates how Grammarly and ChatGPT affect the English language regarding wordiness vs. conciseness. A case study focusing on the purpose subordinator in order to is presented to illustrate the way in which Grammarly and ChatGPT recommend shorter grammatical structures instead of longer and more elaborate ones. Although the analysed sentences were produced by native speakers, are perfectly correct, and were extracted from a language corpus of contemporary English, both Grammarly and ChatGPT suggest more conciseness and less verbosity, even for relatively short sentences. The present article argues that technologies such as Grammarly not only mirror language change but also have the potential to facilitate or accelerate it.

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