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Language Modelling with Dynamic Syntax

  • David Tugwell
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4188)

Abstract

In this paper we introduce a system for the robust analysis of English using the apporach of Dynamic Syntax, in which the syntactic process is modelled as the word-by-word construction of a semantic representation. We argue that the inherent incrementality of the approach, in contrast with the essentially static assumptions of standard generative grammar, has clear advantages for the task of language modelling. To demonstrate its potential we show that this syntactic approach consistently outperforms a standard trigram model in word recovery tasks on parsable sentences. Furthermore, these results are achieved without recourse to hand-prepared training data.

Keywords

Mutual Information Syntactic Structure Transition Rule British National Corpus Lexical Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • David Tugwell
    • 1
  1. 1.School of Computer ScienceUniversity of St AndrewsUK

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