A computational model of quantification in natural language

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.

Bibliographic Details
Main Author: Kenney, Avril (Avril Frances)
Other Authors: Joshua B. Tenenbaum.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2013
Subjects:
Online Access:http://hdl.handle.net/1721.1/77443
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author Kenney, Avril (Avril Frances)
author2 Joshua B. Tenenbaum.
author_facet Joshua B. Tenenbaum.
Kenney, Avril (Avril Frances)
author_sort Kenney, Avril (Avril Frances)
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description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
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spelling mit-1721.1/774432019-04-12T11:22:48Z A computational model of quantification in natural language Kenney, Avril (Avril Frances) Joshua B. Tenenbaum. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (p. 35-36). Natural languages have various ways of expressing quantification, such as the English words "some" and "all." Different such words exist in different languages, and the same word can communicate quite different quantities depending on the context. This thesis presents a computational framework for modeling quantificational meanings and their use in communication. The model can represent meanings that depend on absolute amounts (e.g., two) as well as relative amounts (e.g., half of the total) and context-dependent amounts. It can also represent meanings with presuppositions. Communication between a speaker and a listener is modeled as single exchanges in which both participants have noisy perception of the actual state of the world, the speaker tries to communicate some quantity to the listener by using some word chosen to be informative, and the listener tries to infer the quantity using the word and the assumption that the speaker was being informative. The usage patterns predicted by the model are qualitatively similar to how the words are actually used. The model also shows that the sets of words in real languages result in more efficient communication than randomly selected sets of words with comparable meanings. by Avril Kenney. M.Eng. 2013-03-01T15:05:35Z 2013-03-01T15:05:35Z 2012 2012 Thesis http://hdl.handle.net/1721.1/77443 826515138 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 36 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Kenney, Avril (Avril Frances)
A computational model of quantification in natural language
title A computational model of quantification in natural language
title_full A computational model of quantification in natural language
title_fullStr A computational model of quantification in natural language
title_full_unstemmed A computational model of quantification in natural language
title_short A computational model of quantification in natural language
title_sort computational model of quantification in natural language
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/77443
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