Gerhard Kremer

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We present the first large-scale English “allwords lexical substitution” corpus. The size of the corpus provides a rich resource for investigations into word meaning. We investigate the nature of lexical substitute sets, comparing them to WordNet synsets. We find them to be consistent with, but more fine-grained than, synsets. We also identify significant(More)
Facing the huge amount of textual and terminological data in the life sciences, we present a theoretical basis for the linguistic analysis of chemical terms. Starting with organic compound names, we conduct a morpho-semantic deconstruction into morphemes and yield a semantic representation of the terms’ functional and structural properties. These semantic(More)
The linguistic analysis of chemical terminology is a key to biochemical text processing and semi-automatic database curation. The system described analyses systematic and semi-systematic names of chemical compounds, class terms, and also otherwise underspecified names by means of a morpho-semantic grammar developed according to IUPAC nomenclature. It yields(More)
The psychological community frequently investigates semantic norms of properties produced by native speakers after being presented concept words, and these norms are of great value for a wide variety of psychological experiments. This paper presents a new set of norms that includes a collection of properties from a production experiment for the German and(More)
Providing sets of semantically related words in the lexical entries of an electronic dictionary should help language learners quickly understand the meaning of the target words. Relational information might also improve memorisation, by allowing the generation of structured vocabulary study lists. However, an open issue is which semantic relations are(More)
We present a prototypical system with a purely linguistic method to analyse organic chemical compound names. It morpho-semantically analyses compound names, generates line-based, machinereadable representations of their corresponding molecular structures (SMILES strings), and triggers a taxonomic classification. CHEMorph is to be used to support manual(More)
When subjects describe concepts in terms of their characteristic properties, they often produce composite properties, e. g., rabbits are said to have long ears, not just ears. We present a set of simple methods to extract the modifiers of composite properties (in particular: parts) from corpora. We achieve our best performance by combining evidence about(More)
In this paper we present a study in computer-assisted translation, investigating whether nonprofessional translators can profit directly from automatically constructed bilingual phrase pairs. Our support is based on state-of-the-art statistical machine translation (smt), consisting of a phrase table that is generated from large parallel corpora, and a large(More)
Whereas dictionary design has traditionally been guided by the results of dictionary use research, recent approaches in lexicographic research are strictly user-centred. We support the idea of integrating empirical cognitive evidence into this type of research, thus fruitfully exploiting it for both, the selection (and subsequently presentation) of lexical(More)
The structure of the Digital Humanities master’s program at University of Stuttgart is characterized by a big proportion of classes related to natural language processing. In this paper, we discuss the motivation for this design and associated challenges students and teachers are faced with. To provide background information, we also sum up our underlying(More)