The role of lexicalization and pruning for base noun phrase grammars
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
Retrieving collocations by co-occurrences and word order constraints
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
A memory-based approach to learning shallow natural language patterns
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Pattern-based context-free grammars for machine translation
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Using lexicalized tags for machine translation
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Learning bilingual collocations by word-level sorting
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
| Hi-index | 0.01 |
This paper describes a method for retrieving patterns of words and expressions frequently used in a specific domain and building a dictionary for machine translation (MT). The method uses an untagged text corpus in retrieving word sequences and simplified part-of-speech templates in identifying their syntactic categories. The paper presents experimental results for applying the words and expressions to a pattern-based machine translation system.