Building a large-scale knowledge base for machine translation
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Learning parse and translation decisions from examples with rich context
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
LiLFeS: towards a practical HPSG parser
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
HPSG-style underspecified Japanese grammar with wide coverage
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Generation that exploits corpus-based statistical knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Unification-based semantic interpretation
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Two-level, many-paths generation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Filling knowledge gaps in a broad coverage machine translation system
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Incremental learning of transfer rules for customized machine translation
INAP'04/WLP'04 Proceedings of the 15th international conference on Applications of Declarative Programming and Knowledge Management, and 18th international conference on Workshop on Logic Programming
Hi-index | 0.00 |
We present an approach to semantic interpretation of syntactically parsed Japanese sentences that works largely parser-independent. The approach relies on a standardized parse tree format that restricts the number of syntactic configurations that the semantic interpretation rules have to anticipate. All parse trees are converted to this format prior to semantic interpretation. This setup allows us not only to apply the same set of semantic interpretation rules to output from different parsers, but also to independently develop parsers and semantic interpretation rules.