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On the Optimality of Vagueness: "Around", "Between", and the Gricean Maxims
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In: https://hal-cnrs.archives-ouvertes.fr/hal-03089715 ; 2020 (2020)
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| 5 |
On the Optimality of Vagueness: "Around", "Between", and the Gricean Maxims ...
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Abstract:
Why is ordinary language vague? We argue that in contexts in which a cooperative speaker is not perfectly informed about the world, the use of vague expressions can offer an optimal tradeoff between truthfulness (Gricean Quality) and informativeness (Gricean Quantity). Focusing on expressions of approximation such as "around", which are semantically vague, we show that they allow the speaker to convey indirect probabilistic information, in a way that can give the listener a more accurate representation of the information available to the speaker than any more precise expression would (intervals of the form "between"). That is, vague sentences can be more informative than their precise counterparts. We give a probabilistic treatment of the interpretation of "around", and offer a model for the interpretation and use of "around"-statements within the Rational Speech Act (RSA) framework. In our account the shape of the speaker's distribution matters in ways not predicted by the Lexical Uncertainty model ...
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Keyword:
91F20, 62C10, 94-10, 94A17, 68T37; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2008.11841
https://dx.doi.org/10.48550/arxiv.2008.11841
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| 7 |
Predicting Lexical Norms: A Comparison between a Word Association Model and Text-Based Word Co-occurrence Models
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Asymmetric inference towards the antonym: Experiments into the polarity and morphology of negated adjectives
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In: Glossa: a journal of general linguistics (2016-2021) ; https://hal.archives-ouvertes.fr/hal-03123936 ; Glossa: a journal of general linguistics (2016-2021), Ubiquity Press, 2017, 2 (1), pp.92. ⟨10.5334/gjgl.151⟩ (2017)
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Asymmetric inference towards the antonym: Experiments into the polarity and morphology of negated adjectives
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In: Glossa: a journal of general linguistics; Vol 2, No 1 (2017); 92 ; 2397-1835 (2017)
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Deriving semantic structure from category fluency: clustering techniques and their pitfalls
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