Morphologically-conditioned tonotactics in multilevel Maximum Entropy grammar
Morphologically-conditioned tonotactics in multilevel Maximum Entropy grammar
复制标题
多级最大熵语法中的形态条件音调策略
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Sharon Inkelas
中科院分区：
文献类型：
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作者：
Stephanie S. Shih;Sharon Inkelas
本文提出了一种新的概率形态条件性声调研究方法，以Mende为例，其中声调因词类而异。表面声调模式的这种变化是通过对最大熵调和语法中的每个约束的索引权重调整(即，改变斜率)来建模的，量化了每个词汇类别在公共基础语法中遵循基本调性原则的程度。将词法条件音位作为基本语法的索引权重调整来处理，为词汇敏感的音位模式的单一语法(例如，索引约束)和多个语法(例如，StratalOT；共音学)模型之间的现有僵局提供了解决方案。
This paper presents a novel approach to probabilistic morphologically-conditioned tonotactics, featuring a case study of Mende, in which tonotactics vary by lexical category. This variation in surface tone patterns is modeled via indexed weight adjustments (i.e., varying slopes) for each constraint in a Maximum Entropy Harmonic Grammar, quantifying the degree to which each lexical class follows basic tonotactic principles in a common base grammar. Approaching morphologically-conditioned phonotactics as indexed weight adjustments of a base grammar offers a solution to the existing stalemate between single grammar (e.g., indexed constraints) and multiple grammar (e.g., Stratal OT; cophonologies) models of lexically-sensitive phonological patterns.