A Structured Language Model

Computer Science – Computation and Language

Scientific paper

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changed ACM-class membership, Proceedings of ACL-EACL'97, Student Section, Madrid, Spain

Scientific paper

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.

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