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Dissertation Topics for Ph.D. Linguistics Students

Investigate the structure, evolution, acquisition, and processing of language through data-rich and theory-grounded research.

🗣️ Introduction

The University of Chicago’s Ph.D. in Linguistics program emphasizes empirical depth and theoretical innovation. These dissertation topics span generative grammar, phonological theory, language documentation, and computational modeling—preparing students to contribute to both descriptive and formal linguistics.

💡 Suggested Dissertation Topics

Syntactic Variation in World Englishes: A Comparative Analysis

Phonological Processes in Understudied Indigenous Languages

Formal Semantics of Modality in Cross-Linguistic Perspective

Acoustic Analysis of Tonal Systems in Southeast Asian Languages

Computational Modeling of First Language Acquisition

Language Contact and Structural Borrowing in Creole Genesis

Argument Structure Alternations and Verb Classifications

Diachronic Phonology and the Evolution of Romance Languages

The Role of Prosody in Focus and Information Structure

Lexical Semantics and Polysemy in Natural Language Processing

Morphosyntactic Alignment in Ergative-Absolutive Languages

Cognitive Constraints on Code-Switching in Bilingual Speech

Fieldwork-Based Documentation of Endangered Languages

Sociophonetic Variation in Urban Dialects of American English

Pragmatic Enrichment and Scalar Implicature in Contextual Use

Minimalist Syntax and the Derivation of Interrogative Clauses

Discourse Particles and Sentence-Final Mood Markers in East Asian Languages

Neurocognitive Processing of Agreement Violations in Real-Time Parsing

Evidentiality Systems in Indigenous South American Languages

Phonotactic Probability and Nonce Word Processing in Children

Typological Constraints on Word Order Variation

Language Ideologies and Identity in Multilingual Communities

Corpus-Based Approaches to Syntactic Change Over Time

Phonological Opacity and Rule Ordering in Optimality Theory

Reconstructing Proto-Languages Using Bayesian Phylogenetics

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