Memory and locality in natural language

Thesis: Ph. D. in Cognitive Science, Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2017.

Bibliographic Details
Main Author: Futrell, Richard Landy Jones
Other Authors: Edward Gibson and Roger Levy.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2018
Subjects:
Online Access:http://hdl.handle.net/1721.1/114075
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author Futrell, Richard Landy Jones
author2 Edward Gibson and Roger Levy.
author_facet Edward Gibson and Roger Levy.
Futrell, Richard Landy Jones
author_sort Futrell, Richard Landy Jones
collection MIT
description Thesis: Ph. D. in Cognitive Science, Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2017.
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spelling mit-1721.1/1140752019-04-12T23:19:16Z Memory and locality in natural language Futrell, Richard Landy Jones Edward Gibson and Roger Levy. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences. Brain and Cognitive Sciences. Thesis: Ph. D. in Cognitive Science, Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 189-211). I explore the hypothesis that the universal properties of human languages can be explained in terms of efficient communication given fixed human information processing constraints. I argue that under short-term memory constraints, optimal languages should exhibit information locality: words that depend on each other, both in their interpretation and in their statistical distribution, should be close to each other in linear order. The informationtheoretic approach to natural language motivates a study of quantitative syntax in Chapter 2, focusing on word order flexibility. In Chapter 3, I show comprehensive corpus evidence from over 40 languages that word order in grammar and usage is shaped by working memory constraints in the form of dependency locality: a pressure for syntactically linked words to be close. In Chapter 4, I develop a new formal model of language processing cost, called noisy-context surprisal, based on rational inference over noisy memory representations. This model unifies surprisal and memory effects and derives dependency locality effects as a subset of information locality effects. I show that the new processing model also resolves a long-standing paradox in the psycholinguistic literature, structural forgetting, where the effects of memory appear to be language-dependent. In the conclusion I discuss connections to probabilistic grammars, endocentricity, duality of patterning, incremental planning, and deep reinforcement learning. by Richard Landy Jones Futrell. Ph. D. in Cognitive Science 2018-03-12T19:28:49Z 2018-03-12T19:28:49Z 2017 2017 Thesis http://hdl.handle.net/1721.1/114075 1027213306 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 211 pages application/pdf Massachusetts Institute of Technology
spellingShingle Brain and Cognitive Sciences.
Futrell, Richard Landy Jones
Memory and locality in natural language
title Memory and locality in natural language
title_full Memory and locality in natural language
title_fullStr Memory and locality in natural language
title_full_unstemmed Memory and locality in natural language
title_short Memory and locality in natural language
title_sort memory and locality in natural language
topic Brain and Cognitive Sciences.
url http://hdl.handle.net/1721.1/114075
work_keys_str_mv AT futrellrichardlandyjones memoryandlocalityinnaturallanguage