ABSTRACT
This paper presents a grammar and style checker demonstrator for Spanish and Greek native writers developed within the project GramCheck. Besides a brief grammar error typology for Spanish, a linguistically motivated approach to detection and diagnosis is presented, based on the generalized use of PROLOG exteusions to highly typed unification-based grammars. The demonstrator, currently including full coverage for agreement errors and certain head-argument relation issues, also provides correction by means of an analysis-transfer-synthesis cycle. Finally, future extensions to the current system are discussed.
- Adriaens G. 1994. The LRE SECC Project: Simplified English Grammar and Style Correction in an MT Framework, in Proceedings of Linguistic Engineering Convention, Paris.Google Scholar
- Bolioli A., L, Dini, G. Malnati. 1992. JDH: Parsing Italian with a Robust Coustraint Grammar, in Proceedings of the 15th International Conference on Computational Linguistics (COLING-92): 1003--1007. Google ScholarDigital Library
- Carbonell J. and P. Hayes. 1983. Recovery strategies for parsing extragrammatical language, in American Journal of Computational Linguistics, 9(3-4):123--146. Google ScholarDigital Library
- Charniak E. 1983. A parser with something from everyone, in M. King (ed.), Parsing Natural Language, Academic Press, London.Google Scholar
- Crouch R. 1994. A prototype. ALEP Constraint Solver, SRI International, Cambridge Research Center.Google Scholar
- Pulman, S. G. (ed.). 1991. EUROTRA ET6/1: Rule Formalism and Virtual Machine Design Study, SRI International, Cambridge Computer Science Research Centre, ©Commission of European Communities.Google Scholar
- Genthial D., J. Courtin et al., 1992. From Detection/Correction to Computer Aided Writing, in Proceedings of the 15th International Conference on Computational Linguistics (COLING-92):1013--1018. Google ScholarDigital Library
- Genthial D., J. Courtin, J. Ménézo. 1994. Towards a more user-friendly correction, in Proceedings of the 16th International Conference on Computational Linguistics (COLING-94), Kyoto, Japan. Google ScholarDigital Library
- Granger R. 1983. The NOMASD system: expectation-based detection and correction of errors during understanding of syntactically and semantically illformed text, American Journal of Computational Linguistics, 9(3-4):188--196. Google ScholarDigital Library
- Hayes P. and G. Mouradian. 1981. Flexible Parsing, American Journal of Computational Linguistics, 7(4):232--244. Google ScholarDigital Library
- Heidorn G. E., K. Jensen, L. A. Miller, R. J. Byrd and M. S. Chodorow. 1982. Devoloping a Natural Language Interface to Complex Data, ACM Trans. on Database Sys., 3(2):105--147. Google ScholarDigital Library
- Hendrix G. G., E. D. Sacerdoti, D. Sagalowicz and J. Slocun. 1977. Developing a Natural Language Interface to Complex Data, ACM Trans. On Database Sys., 9(2): 105--147. Google ScholarDigital Library
- Jensen K., G. E. Heidorn, L. A. Miller, Y. Rabin. 1983. Parse fitting and prose fixing: getting a hold on ill-formedness, American Journal of Computational Linguistics, 9(3-4):147--160. Google ScholarDigital Library
- Johnson T. 1985. Natural Language Computing: The Commercial Applications, Ovum, London.Google Scholar
- Kwasny S. and N. Sondheimer. 1981. Relaxation techniques for parsing grammatically ill-formed input in natural language understanding systems, American Journal of Computational Linguistics, 7(2):99--108. Google ScholarDigital Library
- Parkinson R. C, K. M. Colby and W. S. Faught. 1977. Conversational Language Comprehension Using Integrated Pattern-Matching and Parsing, in Artificial Intelligence, 9:111--134.Google ScholarCross Ref
- Ruessink H. 1994. Manual to the RGR extensions for ALEP, STT/OTS. preliminary version.Google Scholar
- Simpkins N. K. 1994. An Open Architecture for Language Engineering: The Advanced Language Engineering Platform (ALEP). Proceedings of LE2, Paris.Google Scholar
- Thurmair G. 1990. Parsing for grammar and style checking, in Proceedings of the 14th International Conference on Computational Linguistics (COLING-90) :365--370. Google ScholarDigital Library
- Translator's Workbench. 1992. Final Report of the Esprit Project 2315.Google Scholar
- Veronis J. 1988. Morphosyntactic correction in natural languages interfaces, in Proceedings of the 13th International Conference on Computational Linguistics (COLING-88) :708--713. Google ScholarDigital Library
- Vosse, T. 1992. Detecting and Correcting Morphosyntactic Errors in Real Texts, Proceedings of the 3rd Conference on Applied Natural Language Processing (ACL-92) :111--118. Google ScholarDigital Library
- Weischedel R. and J. Black. 1980. Responding intelligently to unparseable inputs, in American Journal of Computational Linguistics, 6(2):97--109. Google ScholarDigital Library
- Weischedel R. and N. Sondheimer. 1983. Metarules as a basis for processing ill-formed input, in American Journal of Computational Linguistics, 9(3-4):161--177. Google ScholarDigital Library
- Weischedel R. and L. A. Ramshaw. 1987. Reflections on Knowledge needed to process ill-formed language. In S. Nirenburg (ed.) Machine Translation. Theoretical and Metholodogical Issues, Cambridge, Cambridge University Press, pp. 155--337.Google Scholar
- GramCheck: a grammar and style checker
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