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Alan Bale [4]Alan Clinton Bale [3]Alan C. Bale [2]
  1.  47
    Accessing the unsaid: The role of scalar alternatives in children’s pragmatic inference.David Barner, Neon Brooks & Alan Bale - 2011 - Cognition 118 (1):84-93.
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  2. A universal scale of comparison.Alan Clinton Bale - 2008 - Linguistics and Philosophy 31 (1):1-55.
    Comparative constructions form two classes, those that permit direct comparisons (comparisons of measurements as in Seymour is taller than he is wide) and those that only allow indirect comparisons (comparisons of relative positions on separate scales as in Esme is more beautiful than Einstein is intelligent). In contrast with other semantic theories, this paper proposes that the interpretation of the comparative morpheme remains the same whether it appears in sentences that compare individuals directly or indirectly. To develop a unified account, (...)
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  3. Scales and comparison classes.Alan Clinton Bale - 2011 - Natural Language Semantics 19 (2):169-190.
    This paper discusses comparison classes—sets that relativize the interpretation of gradable adjectives, often specified with for-clauses as in John is smart for a linguist. Such a discussion ultimately lends support to the thesis that scales, degrees, measure functions, and linear orders are grammatically derived from more basic relations between individuals. Three accounts of comparison classes are compared and evaluated. The first proposes that such classes serve as an argument to a function that determines a standard of comparison. The second maintains (...)
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  4.  18
    Proportional readings of many and few: the case for an underspecified measure function.Alan Bale & Bernhard Schwarz - 2020 - Linguistics and Philosophy 43 (6):673-699.
    In the so-called reverse proportional reading :53, 1997), the truth conditions of statements of the form many/few \\ appear to make reference to the ratio of the individuals that are in the extensions of both \ and \ to the individuals that are in the extension of \. The analysis of such readings is controversial. One prominent approach assumes they are a symptom of many and few making reference to a context dependent standard of comparison. We observe that this initially (...)
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    Proportional readings of many and few: the case for an underspecified measure function.Alan Bale & Bernhard Schwarz - 2020 - Linguistics and Philosophy 43 (6):673-699.
    In the so-called reverse proportional reading :53, 1997), the truth conditions of statements of the form many/few \\ appear to make reference to the ratio of the individuals that are in the extensions of both \ and \ to the individuals that are in the extension of \. The analysis of such readings is controversial. One prominent approach assumes they are a symptom of many and few making reference to a context dependent standard of comparison. We observe that this initially (...)
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    Proportional readings of many and few: the case for an underspecified measure function.Alan Bale & Bernhard Schwarz - 2020 - Linguistics and Philosophy 43 (6):673-699.
    In the so-called reverse proportional reading :53, 1997), the truth conditions of statements of the form many/few \\ appear to make reference to the ratio of the individuals that are in the extensions of both \ and \ to the individuals that are in the extension of \. The analysis of such readings is controversial. One prominent approach assumes they are a symptom of many and few making reference to a context dependent standard of comparison. We observe that this initially (...)
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  7.  82
    Neural networks discover a near-identity relation to distinguish simple syntactic forms.Thomas R. Shultz & Alan C. Bale - 2006 - Minds and Machines 16 (2):107-139.
    Computer simulations show that an unstructured neural-network model [Shultz, T. R., & Bale, A. C. (2001). Infancy, 2, 501–536] covers the essential features␣of infant learning of simple grammars in an artificial language [Marcus, G. F., Vijayan, S., Bandi Rao, S., & Vishton, P. M. (1999). Science, 283, 77–80], and generalizes to examples both outside and inside of the range of training sentences. Knowledge-representation analyses confirm that these networks discover that duplicate words in the sentences are nearly identical and that they (...)
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