Grammatical trigrams: A probabilistic model of LINK Grammar

by: John Lafferty, Daniel Sleator, Davy Temperley

(1992), pp. 89-97.

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Abstract

In this paper we present a new class of language models. This class derives from link grammar, a context-free formalism for the description of natural language. We describe an algorithm for determining maximum-likelihood estimates of the parameters of these models. The language models which we present differ from previous models based on stochastic context-free grammars in that they are highly lexical. In particular, they include the familiar n-gram models as a natural subclass. The motivation...

@inproceedings{citeulike:556236, abstract = {In this paper we present a new class of language models. This class derives from link grammar, a context-free formalism for the description of natural language. We describe an algorithm for determining maximum-likelihood estimates of the parameters of these models. The language models which we present differ from previous models based on stochastic context-free grammars in that they are highly lexical. In particular, they include the familiar n-gram models as a natural subclass. The motivation...}, address = {Menlo Park, CA}, author = {Lafferty, John and Sleator, Daniel and Temperley, Davy }, booktitle = {Proceedings of the AAAI Fall Symposium on Probabilistic Approaches to Natural Language. Cambridge, {MA}, 1992}, citeulike-article-id = {556236}, keywords = {linguistics, probability}, pages = {89--97}, posted-at = {2006-03-17 20:04:36}, priority = {2}, publisher = {AAAI Press}, title = {Grammatical trigrams: A probabilistic model of {LINK} Grammar}, url = {http://citeseer.ist.psu.edu/lafferty92grammatical.html}, year = {1992} }

RIS record

TY - CONF ID - citeulike:556236 L3 - citeulike-article-id:556236 TI - Grammatical trigrams: A probabilistic model of {LINK} Grammar T2 - Proceedings of the AAAI Fall Symposium on Probabilistic Approaches to Natural Language. Cambridge, {MA}, 1992 SP - 89 EP - 97 AD - Menlo Park, CA PB - AAAI Press N2 - In this paper we present a new class of language models. This class derives from link grammar, a context-free formalism for the description of natural language. We describe an algorithm for determining maximum-likelihood estimates of the parameters of these models. The language models which we present differ from previous models based on stochastic context-free grammars in that they are highly lexical. In particular, they include the familiar n-gram models as a natural subclass. The motivation... KW - linguistics KW - probability AU - Lafferty, John AU - Sleator, Daniel AU - Temperley, Davy PY - 1992/// UR - http://citeseer.ist.psu.edu/lafferty92grammatical.html ER -

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