Abstract
German particle verbs are a type of multi word expression which is often compositional with respect to a base verb. If they are compositional they tend to express the same types of semantic arguments, but they do not necessarily express them in the same syntactic subcategorization frame: some arguments may be expressed by differing syntactic subcategorization slots and other arguments may be only implicit in either the base or the particle verb. In this paper we present a method which predicts syntactic slot correspondences between syntactic slots of base and particle verb pairs. We can show that this method can predict subcategorization slot correspondences with a fair degree of success.
Highlights
In German, particle verbs (PVs) are a very frequent and productive type of multi word expression
The problem we address here can be called the syntactic transfer problem: the subcategorization frame of a base verb (BV) can be mapped onto a subcategorization frame of the PV, where semantic arguments are not necessarily realized with the same syntactic positions in both of the verbs
In this paper we make the following contributions: We present a method of automatically mapping syntactic subcategorization slots of BVs and PVs which is based on distributional semantics and we show that this method can outperform a random baseline with a high level of success
Summary
In German, particle verbs (PVs) are a very frequent and productive type of multi word expression. Particle verbs, such as anstarren (to stare at) in (1-a), are built from a base verb (BV) and a particle. Similar to other multi word expressions, German PVs may show a varying degree of compositionality with respect to the BV and to the particle. German PVs have another particularity: if they are compositional, the mapping from semantic arguments to syntactic subcategorization frames may be different between the PV and its corresponding BV. Die Katze starrt (den Vogel | die Wohnungstur) an. The cat-N-nom stares (the bird-N-acc | the apartment door-N-acc) at-PRT
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