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Rational communication model predicts word composition over time

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a model that predicts how languages form new words by combining existing morphemes. The study, using the Rational Speech Act framework and historical English corpora, suggests that a balance between listener understanding and speaker effort influences these word formations. This approach outperforms models based solely on meaning or cost, indicating that lexicalization is a trade-off between expressiveness and efficiency. AI

IMPACT Provides a computational framework for understanding language evolution, potentially informing future natural language processing models.

RANK_REASON Academic paper on modeling linguistic phenomena using computational frameworks.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Rational communication model predicts word composition over time

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Fengyuan Yang, Yongqian Peng, Yuxi Ma, Chenheng Xu, Yixin Zhu ·

    Rational Communication Shapes Morphological Composition

    arXiv:2605.03510v1 Announce Type: new Abstract: Human languages expand vocabularies by combining existing morphemes rather than inventing arbitrary forms. Communicative efficiency shapes lexical systems at multiple levels (Gibson et al., 2019), yet morphological composition -- co…

  2. arXiv cs.CL TIER_1 English(EN) · Yixin Zhu ·

    Rational Communication Shapes Morphological Composition

    Human languages expand vocabularies by combining existing morphemes rather than inventing arbitrary forms. Communicative efficiency shapes lexical systems at multiple levels (Gibson et al., 2019), yet morphological composition -- combining morphemes through compounding or affixat…

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