Automatic grammar generation from two different perspectives
Automatic grammar generation from two different perspectives
Towards efficient statistical parsing using lexicalized grammatical information
Towards efficient statistical parsing using lexicalized grammatical information
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
XTAG system: a wide coverage grammar for English
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
A principle-based hierarchical representation of LTAGs
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
TSNLP: Test Suites for Natural Language Processing
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Generating the XTAG english grammar using metarules
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Statistical parsing with an automatically-extracted tree adjoining grammar
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Generating the XTAG english grammar using metarules
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Generating parallel multilingual LFG-TAG grammars from a MetaGrammar
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
| Hi-index | 0.00 |
In this paper, we propose a classification of grammar development strategies according to two criteria: hand-written versus automatically acquired grammars, and grammars based on a low versus high level of syntactic abstraction. Our classification yields four types of grammars. For each type, we discuss implementation and evaluation issues.