Computer Science – Computation and Language
Scientific paper
1998-11-12
Proceedings of ACL'98, Montreal, Canada
Computer Science
Computation and Language
changed ACM-class membership and buggy author names
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 and operates in a left-to-right manner --- therefore usable for automatic speech recognition. The model, its probabilistic parameterization, and a set of experiments meant to evaluate its predictive power are presented; an improvement over standard trigram modeling is achieved.
Chelba Ciprian
Jelinek Frederick
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