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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