tailieunhanh - Báo cáo khoa học: "TOWARDS A DICTIONARY SUPPORT ENVIRONMENT FOR REAL TIME PARSING"

In this article we describe research on the development of large dictionaries for natural language processing. We detail the development of a dictionary support environment linking a restructrured version of the Longman Dictionary of Contemporary English to natural language processing systems. | TOWARDS A DICTIONARY SUPPORT ENVIRONMENT FOR REALTIME PARSING Hiyan Aishawi Bran Boguraev Ted Briscoe Computer Laboratory Cambridge University Corn Exchange Street Cambridge CB2 3QG . ABSTRACT In this article we describe research on the development of large dictionaries for natural . language processing. We detail the development of a dictionary support environment linking a restructrured version of the Longman Dictionary of Contemporary English to natural language processing systems. We describe the process of restructuring the information in the dictionary and our use of the Longman grammar code system to construct dictionary entries for the PATR-n parsing system and our use of the Longman word definitions for automated word sense classification. INTRODUCTION Recent developments in linguistics and especially on grammatical theory - for example Generalised Phrase Structure Grammar GPSG Gazdar et al. In Press Lexical Functional Grammar LFG Kaplan Bresnan 1982 - and on natural language parsing frameworks - for example Functional Unification Grammar FUG Kay 1984a PATR-n Shieber 1984 - make it feasible to consider the implementation of efficient systems for the syntactic analysis of substantial fragments of natural language. These developments also demonstrate that if natural language processing systems are to be able to handle the grammatical and logical idiosyncracies of individual lexical items elegantly and efficiently then the lexicon must be a central component of the parsing system. Real-time parsing imposes stringent requirements on a dictionary support environment at the very least it must allow frequent and rapid access to the information in the dictionary via the dictionary head words. The idea of using the machine-readable source of a published dictionary has occurred to a wide range of researchers - for spelling correction lexical analysis thesaurus construction machinetranslation to name but a few applications - very few however have used such a .

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