tailieunhanh - 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