A Structured Language Model

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The paper presents a language model that develops syntactic structure and uses it to extract meaningful information from the word history, thus enabling the use of long distance dependencies. The model assigns probability to every joint sequence of words - binary-parse-structure with headword annotation. The model, its probabilistic parametrization, and a set of experiments meant to evaluate its predictive power are presented.
changed ACM-class membership, Proceedings of ACL-EACL'97, Student Section, Madrid, Spain

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Computation and Language, G.3, I.2.7, I.5.1, I.5.4

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http://salesiana.dossiersoluciones.com/handle/123456789/33095

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/9811025
 http://arxiv.org/abs/cs/9811025

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arXiv