Bayesian Language Modelling of German Compounds

What do we need to know about an unknown word when parsing German

We propose a new type of subword embedding designed to provide more information about unknown compounds, a major source for OOV words in German. We present an extrinsic evaluation where we use the compound embeddings as …

Reverse-engineering Language: A Study on the Semantic Compositionality of German Compounds

GhoSt-NN: A Representative Gold Standard of German Noun-Noun Compounds

This paper presents a novel gold standard of German noun-noun compounds (Ghost-NN) including 868 compounds annotated with corpus frequencies of the compounds and their constituents, productivity and ambiguity of the cons…

Association Norms of German Noun Compounds

This paper introduces association norms of German noun compounds as a lexical semantic resource for cognitive and computational linguistics research on compositionality. Based on an existing database of German noun compo…

A Joint Approach to Compound Splitting and Idiomatic Compound Detection

Applications such as machine translation, speech recognition, and information retrieval require efficient handling of noun compounds as they are one of the possible sources for out-of-vocabulary (OOV) words. In-depth pro…