屈折形态学不规则性的历时稳定性
On the Diachronic Stability of Irregularity in Inflectional Morphology
摘要:
许多语言的屈折形态系统充满了不规则词,即,似乎不遵循标准屈折规则的单词。在这项工作中,我们定量研究的条件下,不规则可以生存在一种语言随着时间的推移。使用递归神经网络模拟语言学习者,我们测试的词的频率和他们的不规则性之间的历时关系。
英文摘要:
Many languages' inflectional morphological systems are replete with irregulars, i.e., words that do not seem to follow standard inflectional rules. In this work, we quantitatively investigate the conditions under which irregulars can survive in a language over the course of time. Using recurrent neural networks to simulate language learners, we test the diachronic relation between frequency of words and their irregularity.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。