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Massachusetts Institute of Technology

Interactions Between Syntax and Semantics in Language Models

Abstract

dc:description.abstract

How do syntax and semantics interact in neural language models? Is the intuitive dichotomy between semantics and syntax useful as a mental model of their behavior? In this thesis, I systematically investigate how models handle the interactions between sentence corruptions of each kind. I develop a setup for generating “syntactic” and “semantic” corruptions and combining them. Using this setup, I develop a general framework for understanding how classes of corruptions interact with each other, arguing that this can be understood in terms of a single “entanglement” parameter. This allows me to quantify entanglement between syntax and semantics in a variety of situations. The result is that semantics is more entangled with syntax than it is with itself, and that syntax is highly self-entangled.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bau, Anthony
Advisor dc:contributor.advisor
  • Andreas, Jacob

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/144680
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/144680

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Bau, Anthony. Interactions Between Syntax and Semantics in Language Models. Massachusetts Institute of Technology, 2022. https://hdl.handle.net/1721.1/144680