TAILIEUCHUNG - Báo cáo khoa học: "Deterministic Parsing of Syntactic Non-fluencies"

It is often r e m a r k e d that natural language, used naturally, is unnaturally ungrammatical.* Spontaneous speech contains all manner of false starts, hesitations, and self-corrections that disrupt the well-formedness of strings. It is a mystery then, that despite this apparent wide deviation from grammatical norms, people have little difficx:lty understanding the non-fluent speech that is the essential medium of everyday life. A n d it is a still greater mystery that children can succeed in acquiring the g r a m m a r of a language on the basis of evidence provided by. | Deterministic Parsing of Syntactic Non-fluencies Donald Hindis Bell Laboratories Murray Hill New Jersey 07974 It is often remarked that natural language used naturally is unnaturally ungrammatical. Spontaneous speech contains all manner of false starts hesitations and self-corrections that disrupt the well-formedness of strings. It is a mystery then that despite this apparent wide deviation from grammatical norms people have little difficulty understanding the non-fluent speech that is the essential medium of everyday life. And it is a still greater mystery that children can succeed tn acquiring the grammar of a language on the basis of evidence provided by a mixed set of apparently grammatical and ungrammatical strings. 1. Seư-correction a Rule-governed System In this paper I present a system of rules for resolving the non-fluencies of speech implemented as part of a computational model of syntactic processing. The essential idea is that non-fluencies occur when a speaker corrects something that he or she has already said out loud. Since words once said cannot be unsaid a speaker can only accomplish a self-correction by saying something additional - namely the intended words. The intended words are supposed to substitute for the wrongly produced words. For example in sentence 1 the speaker initially said I but meant we. 1 I was- we were hungry. The problem for the hearer as for any natural language understanding system is to determine what words are to be expunged from the actual words said to find the intended sentence. Labov 1966 provided the key to solving this problem when he noted that a phonetic signal specifically a markedly abrupt cut-off of the speech signal always marks the site where self-correction takes place. Of course finding the site of a self-correction is only half the problem it remains to specify what should be removed. A first guess suggests that this must be a non-deterministic problem requiring complex reasoning about what the speaker meant

• Báo cáo khoa học
• Deterministic Parsing
• Syntactic Non fluencies
• Long Papers
• scientific reports
• model language
• process natural language
• Tree Based Deterministic Dependency Parsing
• Kotaro Kitagawa Kumiko Tanaka Ishii
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Optimistic Backtracking A Backtracking Overlay
• Deterministic Incremental Parsing
• Discriminative Classifiers
• Deterministic Dependency Parsing
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Simplifying Deterministic Parsing
• Alan W
• Carter
• DETERMINISTIC LEFT TO RIGHT PARSING
• TREE ADJOINING LANGUAGES
• Yves Schabes
• Spectral Learning
• Non Deterministic Dependency Parsing
• Ariadna Quattoni and Borja Balle
• Deterministic shift reduce parsing
• unification based grammars
• default unification
• UNBOUNDED DEPENDENCIES
• Ted Briscoe
• Non deterministic Recursive
• Ascent Parsing