Complexity in left-associative grammar
Theoretical Computer Science
Conceptual Information Processing
Conceptual Information Processing
Probabilistic top-down parsing and language modeling
Computational Linguistics
Exploiting syntactic structure for language modeling
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
An empirical study of smoothing techniques for language modeling
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
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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.