GhoSt-PV: A Representative Gold Standard of German Particle Verbs
GhoSt-PV: A Representative Gold Standard of German Particle Verbs
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GhoSt-PV：德语助词动词的代表性黄金标准
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Sabine Schulte im Walde
中科院分区：
文献类型：
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作者：
Stefan Bott;Nana Khvtisavrishvili;M. Kisselew;Sabine Schulte im Walde
德语助词动词是一种常见的多词表达形式，在德语词汇中形成了一种高产出的范式。与其他多词表达方式一样，小品词动词也表现出不同程度的组合性。组合性研究的主要障碍之一是缺乏具有代表性的人类评级金标准。为了解决这一瓶颈，本文提出了这样一个金标准的数据集，包含400个随机选择的德国粒子动词。它在几种粒子类型和三个频带之间保持平衡，并通过人类对语义组合程度的评级来完成。
German particle verbs represent a frequent type of multi-word-expression that forms a highly productive paradigm in the lexicon. Similarly to other multi-word expressions, particle verbs exhibit various levels of compositionality. One of the major obstacles for the study of compositionality is the lack of representative gold standards of human ratings. In order to address this bottleneck, this paper presents such a gold standard data set containing 400 randomly selected German particle verbs. It is balanced across several particle types and three frequency bands, and accomplished by human ratings on the degree of semantic compositionality.