Refine
Year of publication
- 2001 (2) (remove)
Document Type
- Conference Proceeding (2) (remove)
Language
- English (2)
Has Fulltext
- yes (2)
Is part of the Bibliography
- no (2)
Keywords
- Computerlinguistik (1)
- Lexikologie (1)
- Maschinelle Übersetzung (1)
Institute
- Extern (2) (remove)
In this paper we show an approach to the customization of GermaNet to the German HPSG grammar lexicon developed in the Verbmobil project. GermaNet has a broad coverage of the German base vocabulary and fine-grained semantic classification; while the HPSG grammar lexicon is comparatively small und has a coarse-grained semantic classification. In our approach, we have developed a mapping algorithm to relate the synsets in GermaNet with the semantic sorts in HPSG. The evaluation result shows that this approach is useful for the lexical extension of our deep grammar development to cope with real-world text understanding.
In linguistics and the philosophy of language, the mass/count distinction has traditionally been regarded as a bi-partition on the nominal domain, where typical instances are nouns like "beef" (mass) vs."cow" (count). In the present paper, we argue that this partition reveals a system that is based on both syntactic features and conceptual features, and present experimental evidence suggesting that the discrimination of the two kinds of features has a psychological reality.