Parsing with flexibility, dynamic strategies, and idioms in mind
Computational Linguistics
Training and scaling preference functions for disambiguation
Computational Linguistics
The automatic translation of idioms: machine translation vs. translation memory systems
Machine translation: theory, applications, and evaluations
Structural ambiguity and lexical relations
Computational Linguistics - Special issue on using large corpora: I
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
Parsing idioms in lexicalized TAGs
EACL '89 Proceedings of the fourth conference on European chapter of the Association for Computational Linguistics
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Heuristics for broad-coverage natural language parsing
HLT '93 Proceedings of the workshop on Human Language Technology
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Parsing models for identifying multiword expressions
Computational Linguistics
| Hi-index | 0.00 |
Proper treatment of collocations constitutes a serious challenge for NLP systems in general. This paper describes how Fips, a "Principle and Parameters" grammar-based parser developed at LATL handles multi-word expressions. In order to get more precise and more reliable collocation data, the Fips parser is used to extract collocations from large text corpora. It will be shown that collocational information can help ranking alternative analyses computed by the parser, in order to improve the quality of its results.