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  • Broschiertes Buch

Semi-compositional constructions are common noun + verb combinations where the noun functions as the semantic head of the construction, but the syntactic head is the verb. Their structure is similar to productive or idiomatic noun + verb combinations, they nevertheless behave differently from those two classes with respect to their syntax and semantics. These features make it difficult to offer a linguistically apt analysis that is able to give an account of their special features and natural language processing (NLP) applications also encounter problems when dealing with them. The objective…mehr

Produktbeschreibung
Semi-compositional constructions are common noun + verb combinations where the noun functions as the semantic head of the construction, but the syntactic head is the verb. Their structure is similar to productive or idiomatic noun + verb combinations, they nevertheless behave differently from those two classes with respect to their syntax and semantics. These features make it difficult to offer a linguistically apt analysis that is able to give an account of their special features and natural language processing (NLP) applications also encounter problems when dealing with them. The objective of this book is to provide analyses of semi-compositional constructions at several levels of grammar (i.e. syntax, semantics and lexicology) that can be fruitfully exploited in their NLP treatment (automatic identification, word sense disambiguation, information extraction and retrieval and machine translation). In this way, it is demonstrated how theoretical linguistic results can be appliedin an empirical field of study (i.e. in natural language processing). This book is equally recommended for linguists and computer scientists working in the field of natural language processing.
Autorenporträt
Veronika Vincze has earned her PhD in linguistics at the University of Szeged, Hungary. She has worked on several natural language processing projects at the University of Szeged, Human Language Technology Group. Her research interests include corpus building, computational morphology and parsing, linguistic uncertainty and multiword expressions.