Determining the Degree of Compositionality of German Particle Verbs by Clustering Approaches
Determining the Degree of Compositionality of German Particle Verbs by Clustering Approaches
复制标题
通过聚类方法确定德语助词动词的组合程度
DOI：
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发表时间：
2010
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：
Natalie Kühner;Sabine Schulte im Walde
这项工作通过两种软聚类方法确定了德语助词动词的组合程度。我们假设，在应用概率阈值建立聚类成员资格后，助词动词的组合性越强，它与其基本动词出现在同一聚类中的频率就越高。由于德语助词动词很难在语法语义界面自动处理，因为与基本动词相比，它们通常会改变子分类行为，因此我们不仅在聚类数量、迭代次数等技术参数方面探索聚类方法，而且还关注描述助词动词的特征的选择。
This work determines the degree of compositionality of German particle verbs by two soft clustering approaches. We assume that the more compositional a particle verb is, the more often it appears in the same cluster with its base verb, after applying a probability threshold to establish cluster membership. As German particle verbs are difficult to approach automatically at the syntax-semantics interface, because they typically change the subcategorisation behaviour in comparison to their base verbs, we explore the clustering approaches not only with respect to technical parameters such as the number of clusters, the number of iterations, etc. but in addition focus on the choice of features to describe the particle verbs.