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Lexical Variability and Compositionality: Investigating Idiomaticity with Distributional Semantic Models

机译:词汇变异性和组合性:使用分布语义模型研究惯用性

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摘要

In this work we carried out an idiom type identification task on a set of 90 Italian V-NP and V-PP constructions comprising both idioms and non-idioms. Lexical variants were generated from these expressions by replacing their components with semantically related words extracted distributionally and from the Italian section of MultiWordNet. Idiomatic phrases turned out to be less similar to their lexical variants with respect to non-idiomatic ones in distributional semantic spaces. Different variant-based distributional measures of idiomaticity were tested. Our indices proved reliable in identifying also those idioms whose lexical variants are poorly or not at all attested in our corpus.
机译:在这项工作中,我们对90个包含成语和非成语的意大利V-NP和V-PP结构进行了成语类型识别任务。从这些表达式中生成词法变体,方法是将它们的组成部分替换为语义相关的单词,这些单词从分布中提取出来,并且来自MultiWordNet的意大利语部分。就分布语义空间中的非惯用语而言,惯用语短语与其词汇变体不太相似。测试了不同的基于习惯的基于变体的分布度量。事实证明,我们的索引可以可靠地识别那些词法变体差或根本没有在我们的语料中得到证明的惯用法。

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  • 会议地点 Berlin(DE)
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    Laboratorio di Linguistica Scuola Normale Superiore Pisa, Italy;

    Computational Linguistics Laboratory Department of Philology, Literature, and Linguistics University of Pisa, Italy;

    Computational Linguistics Laboratory Department of Philology, Literature, and Linguistics University of Pisa, Italy;

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