Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
A statistical parser for Czech
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Morphology and reranking for the statistical parsing of Spanish
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Computational Linguistics
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Application of feature propagation to dependency parsing
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
An alternative to head-driven approaches for parsing a (relatively) free word-order language
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Statistical parsing of morphologically rich languages (SPMRL): what, how and whither
SPMRL '10 Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages
One-step statistical parsing of hybrid dependency-constituency syntactic representations
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
Morphological features for parsing morphologically-rich languages: a case of Arabic
SPMRL '11 Proceedings of the Second Workshop on Statistical Parsing of Morphologically Rich Languages
Testing the effect of morphological disambiguation in dependency parsing of Basque
SPMRL '11 Proceedings of the Second Workshop on Statistical Parsing of Morphologically Rich Languages
Getting more from morphology in multilingual dependency parsing
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
| Hi-index | 0.00 |
We present a set of experiments on dependency parsing of the Basque Dependency Treebank (BDT). The present work has examined several directions that try to explore the rich set of morphosyntactic features in the BDT: i) experimenting the impact of morphological features, ii) application of dependency tree transformations, iii) application of a two-stage parsing scheme (stacking), and iv) combinations of the individual experiments. All the tests were conducted using MaltParser (Nivre et al., 2007a), a freely available and state of the art dependency parser generator.