Stanford’s M.A. in Linguistics prepares students to analyze the structure and use of human language. These project ideas offer opportunities in phonetics, syntax, semantics, discourse, and computational modeling, supporting diverse inquiry into linguistic systems and social impact.
Computational Parsing of Code-Switched Sentences in Bilingual Speech
Acoustic Variation in Regional English Dialects of the U.S.
Syntactic Universals and Exceptions in Typologically Diverse Languages
Sociolinguistic Markers in Urban Youth Vernaculars
Phonetic Shifts in Heritage Speakers Across Generations
Semantic Drift in Online Discourse Communities
Prosody and Emotion: A Phonological Study of Speech Patterns
Documentation and Preservation of Endangered Indigenous Languages
Pragmatic Implicature in Political Debates and Campaign Rhetoric
Developing NLP Models for Low-Resource Languages
Grammaticalization Patterns in Creole Language Formation
Child Language Acquisition and Morphosyntactic Complexity
Phonotactic Constraints in Artificial Language Learning
Language Policy and Multilingual Education in Post-Colonial States
Variation in Turn-Taking and Repair Across Cultures
Machine Translation Evaluation for Ambiguity and Context Retention
Discourse Analysis of Humor and Irony on Social Media
Historical Reconstruction of Proto-Language Phoneme Sets
Language Contact and Lexical Borrowing in Border Communities
AI-Assisted Annotation Tools for Linguistic Fieldwork
From field phonology to NLP pipelines, Collexa helps Stanford Linguistics students with proposal building, linguistic annotation, and data-supported research strategy.
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