Paper: Exploiting Syntactic Structure for Language Modeling

ACL ID P98-1035
Title Exploiting Syntactic Structure for Language Modeling
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1998
Authors

The paper presents a language model that devel- ops syntactic structure and uses it to extract mean- ingful information from the word history, thus en- abling the use of long distance dependencies. The model assigns probability to every joint sequence of words-binary-parse-structure with headword an- notation 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.