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【6h】Constraint breeding during on-line incremental learning

机译在线增量学习期间的约束繁殖

【摘要】An evolutionary algorithm for simultaneously inducing and weighting phonological constraints (Winnow-MaxEnt-Subtree Breeder) is described, analyzed, and illustrated. Implementing weights as sub-population sizes, reproduction with selection executes a new variant of Winnow (Littlestone, 1988), which is shown to converge. A flexible constraint schema, based on the same prosodic and au-tosegmental trees used in representations, is described, together with algorithms for mutation and recombination (mating). The algorithm is applied to explaining abrupt learning curves, and predicts an empirical connection between abruptness and language-particularity.

【摘要机译】描述,分析和说明了一种用于同时诱发和加权语音约束的进化算法(Winnow-MaxEnt-Subtree Breeder)。将权重实现为子种群大小,通过选择进行复制执行了Winnow的新变体(Littlestone,1988年),该变体已经收敛。描述了基于表示中使用的相同的韵律和自动分割树的灵活约束模式,以及用于变异和重组(匹配)的算法。该算法被用于解释突然的学习曲线,并预测了突然性和语言特殊性之间的经验联系。

【作者】Elliott Moreton;

【作者单位】University of North Carolina, Chapel Hill;

【年(卷),期】2019(),

【年度】2019

【页码】69-80

【总页数】12

【原文格式】PDF

【正文语种】eng

【中图分类】;

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