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arxiv: 1307.6726 · v1 · pith:DLVRIEBWnew · submitted 2013-07-25 · 💻 cs.CL · math.PR· physics.data-an

Information content versus word length in natural language: A reply to Ferrer-i-Cancho and Moscoso del Prado Martin [arXiv:1209.1751]

classification 💻 cs.CL math.PRphysics.data-an
keywords languagearxivassumptionscriticallyincompatiblelengthmartinmoscoso
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Recently, Ferrer i Cancho and Moscoso del Prado Martin [arXiv:1209.1751] argued that an observed linear relationship between word length and average surprisal (Piantadosi, Tily, & Gibson, 2011) is not evidence for communicative efficiency in human language. We discuss several shortcomings of their approach and critique: their model critically rests on inaccurate assumptions, is incapable of explaining key surprisal patterns in language, and is incompatible with recent behavioral results. More generally, we argue that statistical models must not critically rely on assumptions that are incompatible with the real system under study.

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