Summary of the paper
| Title | German """"nach""""-Particle Verbs in Semantic Theory and Corpus Data |
|---|---|
| Authors | Boris Haselbach, Wolfgang Seeker and Kerstin Eckart |
| Abstract | In this paper, we present a database-supported corpus study where we combine automatically obtained linguistic information from a statistical dependency parser, namely the occurrence of a dative argument, with predictions from a theory on the argument structure of German particle verbs with """"nach"""". The theory predicts five readings of """"nach"""" which behave differently with respect to dative licensing in their argument structure. From a huge German web corpus, we extracted sentences for a subset of """"nach""""-particle verbs for which no dative is expected by the theory. Making use of a relational database management system, we bring together the corpus sentences and the lemmas manually annotated along the lines of the theory. We validate the theoretical predictions against the syntactic structure of the corpus sentences, which we obtained from a statistical dependency parser. We find that, in principle, the theory is borne out by the data, however, manual error analysis reveals cases for which the theory needs to be extended. |
| Topics | Semantics, Grammar and Syntax, LR Infrastructures and Architectures |
Full paper  |
German """"nach""""-Particle Verbs in Semantic Theory and Corpus Data |
| Bibtex | @InProceedings{HASELBACH12.507, author = {Boris Haselbach and Wolfgang Seeker and Kerstin Eckart}, title = {German """"nach""""-Particle Verbs in Semantic Theory and Corpus Data}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |