Reading list
Here’s a list of books I highly recommend—some of which I use in my classes. Some are specific to linguistics (mostly to phonology and phonetics), and some are more general. The “data analysis” category lists all the books I have used and would recommend when it comes to statistics and/or R.
Linguistics
- Contemporary Linguistics: An Introduction (William O’Grady et al)
- The Sounds of Language (Elizabeth Zsiga)
- Sounds Of The Worlds Languages (Peter Ladefoged and Ian Maddieson)
- A Course in Phonetics (Peter Ladefoged)
- Introductory Phonology (Bruce Hayes)
- Metrical Stress Theory (Bruce Hayes)
- Word Stress (Harry van der Hulst)
- Prosodic Weight Categories And Continua (Kevin Ryan)
- Phonology in Generative Grammar (Michael Kenstowicz)
- Doing Optimality Theory (John McCarthy)
- Phonetically Based Phonology (Bruce Hayes et al)
- Introductory Phonology (Bruce Hayes)
- Phonological Typology (Matthew Gordon)
- The Handbook of Phonological Theory (John Goldsmith)
- Syntax: A Generative Introduction (Andrew Carnie)
- Language Acquisition: The Growth of Grammar (Maria T. Guasti)
- Second Language Acquisition and Universal Grammar (Lydia White)
- An Introduction to Sociolinguistics (Ronald Wardhaugh and Janet M. Fuller)
- The Price of Linguistic Productivity (Charles Yang)
- The Origins of Grammar (James Hurford)
- The Essential Chomsky (Noam Chomsky)
Data analysis
- Data visualization and analysis in second language research (Guilherme D. Garcia)
- Statistics for Linguists: An Introduction Using R (Bodo Winter)
- R for Data Science (Hadley Wickham and Garrett Grolemund)
- Statistical Rethinking (Richard McElreath)
- Data Analysis Using Regression (Andrew Gelman and Jennifer Hill)
- Doing Bayesian Data Analysis (John Kruschke)
- Text Mining with R: A Tidy Approach (Julia Silge and David Robinson)
- Bayesian Data Analysis (Andrew Gelman et al)
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