The experience of developing a large-scale natural language text processing system: CRITIQUE
ANLC '88 Proceedings of the second conference on Applied natural language processing
Parse fitting and prose fixing: getting a hold on ill-formedness
Computational Linguistics - Special issue on ill-formed input
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Shalt2: a symmetric machine translation system with conceptual transfer
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
HLT '91 Proceedings of the workshop on Speech and Natural Language
Surface-marker-based dialog modelling: A progress report on the MAREDI project
Natural Language Engineering
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Reducing parsing complexity by intra-sentence segmentation based on maximum entropy model
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
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In a consistent text, many words and phrases are repeatedly used in more than one sentence. When an identical phrase (a set of consecutive words) is repeated in different sentences, the constituent words of those sentences tend to be associated in identical modification patterns with identical parts of speech and identical modifiee-modifier relationships. Thus, when a syntactic parser cannot parse a sentence as a unified structure, parts of speech and modifiee-modifier relationships among morphologically identical words in complete parses of other sentences within the same text provide useful information for obtaining partial parses of the sentence.In this paper, we describe a method for completing partial parses by maintaining consistency among morphologically identical words within the same text as regards their part of speech and their modifiee-modifier relationship. The experimental results obtained by using this method with technical documents offer good prospects for improving the accuracy of sentence analysis in a broad-coverage natural language processing system such as a machine translation system.