Predicting the Direction of Derivation in English Conversion

M. Kisselew, Laura Rimell, Alexis Palmer, Sebastian Padó
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引用次数: 29

Abstract

Conversion is a word formation operation that changes the grammatical category of a word in the absence of overt morphology. Conversion is extremely productive in English (e.g., tunnel, talk). This paper investigates whether distributional information can be used to predict the diachronic direction of conversion for homophonous noun‐verb pairs. We aim to predict, for example, that tunnel was used as a noun prior to its use as a verb. We test two hypotheses: (1) that derived forms are less frequent than their bases, and (2) that derived forms are more semantically specific than their bases, as approximated by information theoretic measures. We find that hypothesis (1) holds for N-to-V conversion, while hypothesis (2) holds for V-to-N conversion. We achieve the best overall account of the historical data by taking both frequency and semantic specificity into account. These results provide a new perspective on linguistic theories regarding the semantic specificity of derivational morphemes, and on the morphosyntactic status of conversion.
英语转换中派生方向的预测
转换是一种构词操作,在没有明显词法的情况下改变单词的语法类别。转换在英语中是非常有效的(例如,地道,谈话)。本文研究了是否可以用分布信息来预测同音名词-动词对转换的历时方向。我们的目标是预测,例如,隧道在用作动词之前被用作名词。我们测试了两个假设:(1)派生形式比它们的基形式更少出现,(2)派生形式比它们的基形式在语义上更具体,正如信息理论测量所接近的那样。我们发现假设(1)适用于n到v的转换,而假设(2)适用于v到n的转换。我们通过考虑频率和语义特异性来实现对历史数据的最佳总体描述。这些结果为派生语素的语义专一性和转换的形态句法地位提供了新的语言学理论视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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