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Rigid Lambek grammars are not learnable from strings

机译:刚性兰贝克语法从字符串中没有学习

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This paper is concerned with learning catego-rial grammars in Gold's model (Gold, 1967). Recently, learning algorithms in this model have been proposed for some particular classes of classical categorial grammars (Kanazawa, 1998). We show that in contrast to classical categorial grammars, rigid and k-valued Lambek grammars are not learnable from strings. This result holds for variants of Lambek calculus ; our proof consists in the construction of limit points in each class. Such a result aims at clarifying the possible directions for future learning algorithms.
机译:本文涉及黄金模型中的Catego-Rial语法(Gold,1967)。最近,已经提出了该模型中的学习算法,用于某些特定类别的古典类别语法(Kanazawa,1998)。我们表明,与古典分类语法相比,刚性和k值的小兰贝克语法没有从字符串中学习。该结果适用于Lambek微积分的变型;我们的证据包括在每个班级的限制点的构建。这样的结果旨在澄清未来学习算法的可能方向。

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