(Enter summary)
Abstract: 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... (Update)
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BibTeX entry: (Update)
C. Chelba and F. Jelinek. 1998. Exploiting syntactic structure for language modeling. In Proc. of COLING-ACL. http://citeseer.ist.psu.edu/chelba98exploiting.html More
@inproceedings{ chelba98exploiting,
author = "Ciprian Chelba and Frederick Jelinek",
title = "Exploiting Syntactic Structure for Language Modeling",
booktitle = "Proceedings of the Thirty-Sixth Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics and Seventeenth International Conference on Computational Linguistics",
publisher = "Morgan Kaufmann Publishers",
address = "San Francisco, California",
editor = "Christian Boitet and Pete Whitelock",
pages = "225--231",
year = "1998",
url = "citeseer.ist.psu.edu/chelba98exploiting.html" }
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