TAILIEUCHUNG - Báo cáo khoa học: "Constituent-Based Morphological Parsing: A New Approach to the Problem of Word-Recognition"

We present a model of morphological processing which directly encodes prosodic constituency, a notion which is clearly crucial in many widespread morphological processes. The model has been implemented for the Australian language Warlpiri and has been successfully interfaced with a syntactic parser for that language (Brunson, 1986). We contrast our approach with approaches to morphological parsing in the KIMMO framework. 1. Introduction The "Two-Level" Model of morphological processing developed by Kimmo Koskenniemi (1983), henceforth KIMMO, has spawned much subsequent research in the same framework (Karttunen, 1983; inter alia). . | Constituent-Based Morphological Parsing A New Approach to the Problem of Word-Recognition. Richard Sproat Linguistics Department AT T Bell Laboratories 600 Mountain Ave Murray Hill NJ 07974. Barbara Brunson AT T Bell Laboratories and Department of Linguistics University of Toronto Toronto Ontario Canada M5S 1A1. Abstract We present a model of morphological processing which directly encodes prosodic constituency a notion which is clearly crucial in many widespread morphological processes. The model has been implemented for the Australian language Warlpiri and has been successfully interfaced with a syntactic parser for that language Brunson 1986 . We contrast our approach with approaches to morphological parsing in the KIMMO framework. 1. Introduction The Two-Level Model of morphological processing developed by Kimmo Koskenniemi 1983 henceforth KIMMO has spawned much subsequent research in the same framework Karttunen 1983 inter alia . Important design features of this model include a set of morpheme lexicons and a set of parallel finite state transducers which implement phonological rules mapping surface strings to lexical representations. Not only are phonological rules finite state but the control structure of the model is itself finite state. Two criticisms of this model can be put forth. First KIMMO is not guaranteed to be computationally efficient Barton 1986 . Second there are many interesting morphological phenomena that KIMMO cannot cover without significantly redesigning the model. In this paper we will address the second point. We will present a model of word-structure recognition which unlike the KIMMO model makes heavy use of prosodic constituent structure. Not only is reference to prosodic constituency necessary to provide a principled way of dealing with certain morphological processes but such an approach to phonological processing is crucial for any interface of current parsing systems with speech recognition systems Church 1983 . The model has been

• Báo cáo khoa học
• Constituent Based Morphological Parsing
• A New Approach to the Problem
• Word Recognition
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
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• NATURAL LANGUAGE
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• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
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• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
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• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
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• Douglas E
• Appelt
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• Kathleen R
• M
• MENTING A DATABASE
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• THE KEY TO THE SELECTION PROBLEM
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• Jeffrey Conklin David D
• McDonald
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• Stuart C
• Shapiro
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• Mark H
• Bursteln