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Sentence-final completion norms for 2925 Mexican Spanish sentence contexts.

Armando Quetzalcóatl Angulo-Chavira1, Alejandra Mitzi Castellón-Flores1, Alejandra Ciria1

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Researchers created a new Mexican Spanish sentence completion corpus to study language prediction. This resource enhances understanding of language processing and cognitive science across cultures.

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Area of Science:

  • Linguistics
  • Cognitive Science
  • Computational Linguistics
  • Psycholinguistics

Background:

  • Sentence-final completion tasks are crucial for understanding language processing and predictive mechanisms.
  • Existing sentence-completion norms are language-specific and may not account for cultural variations within a language.
  • A need exists for culturally specific norms to accurately study language processing.

Purpose of the Study:

  • To develop the most comprehensive corpus of sentence-completion norms for Mexican Spanish to date.
  • To provide a diverse set of experimental stimuli varying in predictability (cloze probability/surprisal) and context uncertainty (entropy).
  • To create a resource that accounts for syntactic complexity and noun characteristics (concreteness, length, frequency).

Main Methods:

  • Generation of sentence contexts tailored for Mexican Spanish.
  • Data collection involving 1470 participants.
  • Systematic data analysis for establishing sentence-completion norms.

Main Results:

  • Creation of a corpus with 2925 sentence-completion norms for Mexican Spanish.
  • The corpus exhibits significant variability in cloze probability, entropy, syntactic complexity, and final word characteristics.
  • The norms offer a valuable resource for researchers in various fields.

Conclusions:

  • The developed Mexican Spanish sentence-completion norms represent a significant advancement for linguistic and cognitive research.
  • This corpus facilitates a deeper understanding of predictive language mechanisms, knowledge representation, and context representation.
  • The data is publicly available via the Open Science Framework (OSF).