CMU’s Linguistics BA sits at the crossroads of cognitive science and natural-language technology. You’ll dissect syntax trees by morning and fine-tune speech-recognition models by afternoon, collaborating with AI researchers designing inclusive voice assistants. Field-methods courses partner with Pittsburgh’s immigrant communities to document endangered dialects, and the Phonetics Lab’s ultrasound tongue-imaging lets you visualize articulation in real time.
Acoustic analysis of prosody shifts in bilingual code-switching contexts
Neural machine-translation system for low-resource Indigenous language pairs
Gesture-speech alignment study using motion-capture corpora
Crowd-sourced dialect map of American English on TikTok data
Deep-learning phoneme recognizer adapted for dysarthric speech
Field documentation toolkit integrating mobile ELAN and cloud backup
Psycholinguistic experiment on emoji as pragmatic markers
Simulation of language evolution with agent-based sound-change models
Sentiment and politeness classifier for customer-support chatbots
Phonotactic constraint learner using Bayesian inference over syllable inventories
Etymon visualization of Indo-European languages via interactive Sankey diagrams
Corpus study of gendered metaphors in financial journalism
Neuro-semantic priming experiment with EEG to test compositionality theories
ASR error-analysis dashboard identifying bias across dialect groups
Morphological analyzer for agglutinative languages built with finite-state transducers
Sociophonetic study of /r/-coloring in urban vs. rural speech
Crowd-funded voice dataset supporting accessible speech technology
VR pronunciation tutor providing real-time articulatory feedback
Lexical borrowing database tracking tech loanwords across Southeast Asia
Policy brief on language access standards for emergency broadcast systems
Explore language science and craft next-generation speech tech at CMU.
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