@inproceedings{corazza-etal-1991-stochastic,
title = "Stochastic Context-Free Grammars for Island-Driven Probabilistic Parsing",
author = "Corazza, Anna and
De Mori, Renato and
Gretter, Roberto and
Satta, Giorgio",
editor = "Tomita, Masaru and
Kay, Martin and
Berwick, Robert and
Hajicova, Eva and
Joshi, Aravind and
Kaplan, Ronald and
Nagao, Makoto and
Wilks, Yorick",
booktitle = "Proceedings of the Second International Workshop on Parsing Technologies",
month = feb # " 13-25",
year = "1991",
address = "Cancun, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/1991.iwpt-1.24",
pages = "210--217",
abstract = "In automatic speech recognition the use of language models improves performance. Stochastic language models fit rather well the uncertainty created by the acoustic pattern matching. These models are used to score \textit{theories} corresponding to partial interpretations of sentences. Algorithms have been developed to compute probabilities for theories that grow in a strictly left-to-right fashion. In this paper we consider new relations to compute probabilities of partial interpretations of sentences. We introduce theories containing a gap corresponding to an uninterpreted signal segment. Algorithms can be easily obtained from these relations. Computational complexity of these algorithms is also derived.",
}
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%0 Conference Proceedings
%T Stochastic Context-Free Grammars for Island-Driven Probabilistic Parsing
%A Corazza, Anna
%A De Mori, Renato
%A Gretter, Roberto
%A Satta, Giorgio
%Y Tomita, Masaru
%Y Kay, Martin
%Y Berwick, Robert
%Y Hajicova, Eva
%Y Joshi, Aravind
%Y Kaplan, Ronald
%Y Nagao, Makoto
%Y Wilks, Yorick
%S Proceedings of the Second International Workshop on Parsing Technologies
%D 1991
%8 feb 13 25
%I Association for Computational Linguistics
%C Cancun, Mexico
%F corazza-etal-1991-stochastic
%X In automatic speech recognition the use of language models improves performance. Stochastic language models fit rather well the uncertainty created by the acoustic pattern matching. These models are used to score theories corresponding to partial interpretations of sentences. Algorithms have been developed to compute probabilities for theories that grow in a strictly left-to-right fashion. In this paper we consider new relations to compute probabilities of partial interpretations of sentences. We introduce theories containing a gap corresponding to an uninterpreted signal segment. Algorithms can be easily obtained from these relations. Computational complexity of these algorithms is also derived.
%U https://aclanthology.org/1991.iwpt-1.24
%P 210-217
Markdown (Informal)
[Stochastic Context-Free Grammars for Island-Driven Probabilistic Parsing](https://aclanthology.org/1991.iwpt-1.24) (Corazza et al., IWPT 1991)
ACL