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Indicatements that character language models learn English morpho-syntactic units and regularities

机译:指示字符语言模型学习英语形态语法单位和规律

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Character language models have access to surface morphological patterns, but it is not clear whether or how they learn abstract morphological regularities. We instrument a character language model with several probes, finding that it can develop a specific unit to identify word boundaries and, by extension, morpheme boundaries, which allows it to capture linguistic properties and regularities of these units. Our language model proves surprisingly good at identifying the selectional restrictions of English derivational morphemes, a task that requires both morphological and syntactic awareness. Thus we conclude that, when morphemes overlap extensively with the words of a language, a character language model can perform morphological abstraction.
机译:字符语言模型可以访问表面形态模式,但目前尚不清楚他们如何学习抽象的形态规律。我们用几个探针介绍一个角色语言模型,发现它可以开发一个特定的单位来识别字边界,并通过扩展,语素边界,这允许它捕获这些单元的语言属性和规律。我们的语言模型令人惊讶地善于识别英语衍生语素的选择性限制,这是需要形态和句法意识的任务。因此,我们得出结论,当语素与语言的单词广泛重叠时,角色语言模型可以执行形态抽象。

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