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Jointly Studying Linguistic Structure and Language Models : = Methods for a Bilateral Science.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Jointly Studying Linguistic Structure and Language Models :/
Reminder of title:	Methods for a Bilateral Science.
Author:	Papadimitriou, Isabel Victoria.
Description:	1 online resource (144 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-05, Section: B.
Contained By:	Dissertations Abstracts International86-05B.
Subject:	Syntax. -
Online resource:	click for full text (PQDT)
ISBN:	9798346388548

Jointly Studying Linguistic Structure and Language Models : = Methods for a Bilateral Science.
Papadimitriou, Isabel Victoria.

Jointly Studying Linguistic Structure and Language Models :Methods for a Bilateral Science. - 1 online resource (144 pages)

Source: Dissertations Abstracts International, Volume: 86-05, Section: B.

Thesis (Ph.D.)--Stanford University, 2024.

Includes bibliographical references

In this thesis, I propose methods for a bilateral science connecting language models and human language. My goal is to apply what we know about the human language system to understand language models, and conversely use language models as experimental testbeds and functional theoretical artifacts to expand the horizons of language science. I propose four empirical approaches for analyzing language technology to address fundamental questions in language science. First, I develop a new experimental method, injecting language models with structural information before training, that allows me to investigate a fundamental theoretical question: what makes language learning structurally possible? I find that complex context-sensitive structures are important in scaffolding language learning, even in the absence of a context-free recursive structural bias. Secondly, I develop analysis methods for examining the representation of subjecthood and case in statistical language models. I show how abstract high-order grammatical systems like grammatical role can arise from pure statistical learning. Thirdly, I introduce an analysis methodology to show how language models use syntactic word order in combination with lexical semantics. My analysis shows that language models are a functional theoretical model for how structural and prototype theories can co-exist and function in a single learner. The fourth and final methodology proposes a linguistic syntactic evaluation approach for multilingual language models, showing how English syntactic influence can bias syntactic structure in other languages.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798346388548Subjects--Topical Terms:

671699
Syntax.
Index Terms--Genre/Form:

554714
Electronic books.

Jointly Studying Linguistic Structure and Language Models : = Methods for a Bilateral Science.
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500 $a Source: Dissertations Abstracts International, Volume: 86-05, Section: B.
500 $a Advisor: Jurafsky, Dan.
502 $a Thesis (Ph.D.)--Stanford University, 2024.
504 $a Includes bibliographical references
520 $a In this thesis, I propose methods for a bilateral science connecting language models and human language. My goal is to apply what we know about the human language system to understand language models, and conversely use language models as experimental testbeds and functional theoretical artifacts to expand the horizons of language science. I propose four empirical approaches for analyzing language technology to address fundamental questions in language science. First, I develop a new experimental method, injecting language models with structural information before training, that allows me to investigate a fundamental theoretical question: what makes language learning structurally possible? I find that complex context-sensitive structures are important in scaffolding language learning, even in the absence of a context-free recursive structural bias. Secondly, I develop analysis methods for examining the representation of subjecthood and case in statistical language models. I show how abstract high-order grammatical systems like grammatical role can arise from pure statistical learning. Thirdly, I introduce an analysis methodology to show how language models use syntactic word order in combination with lexical semantics. My analysis shows that language models are a functional theoretical model for how structural and prototype theories can co-exist and function in a single learner. The fourth and final methodology proposes a linguistic syntactic evaluation approach for multilingual language models, showing how English syntactic influence can bias syntactic structure in other languages.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Syntax. $3 671699
650 4 $a Probability. $3 667790
650 4 $a Multilingualism. $3 556374
650 4 $a Linguistics. $3 557829
650 4 $a Role models. $3 1413525
650 4 $a Semantics. $3 555362
650 4 $a Natural language. $3 1468611
650 4 $a Bilingual education. $3 1148431
650 4 $a Logic. $3 558909
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0800
690 $a 0282
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710 2 $a Stanford University. $3 1184533
773 0 $t Dissertations Abstracts International $g 86-05B.
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