Name
Abstract | ||
|---|---|---|
This paper presents a comparative study of probabilistic treebank parsing of German, using the Negra and TüBa-D/Z tree-banks. Experiments with the Stanford parser, which uses a factored PCFG and dependency model, show that, contrary to previous claims for other parsers, lexicalization of PCFG models boosts parsing performance for both treebanks. The experiments also show that there is a big difference in parsing performance, when trained on the Negra and on the TüBa-D/Z treebanks. Parser performance for the models trained on TüBa-D/Z are comparable to parsing results for English with the Stanford parser, when trained on the Penn treebank. This comparison at least suggests that German is not harder to parse than its West-Germanic neighbor language English. |
Year | Venue | Keywords |
|---|---|---|
2006 | EMNLP | factored pcfg,parser performance,parsing result,pcfg model,parsing performance,z treebanks,probabilistic treebank,penn treebank,z tree-banks,stanford parser |
Field | DocType | Volume |
Top-down parsing language,Top-down parsing,Computer science,Simple LR parser,Speech recognition,Bottom-up parsing,Natural language processing,Artificial intelligence,Treebank,Parser combinator,Parsing,German | Conference | W06-16 |
ISBN | Citations | PageRank |
1-932432-73-6 | 13 | 0.87 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sandra Kübler | 1 | 56 | 13.29 |
| Erhard W. Hinrichs | 2 | 204 | 45.42 |
| Wolfgang Maier | 3 | 13 | 0.87 |