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• Title:Probabilistic approaches to linguistic theory / edited by Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin, Aleksandre Maskharashvili.
  
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• Other Contributors/Collections:Bernardy, Jean-Philippe, editor.
  Blanck, Rasmus, editor.
  Chatzikyriakidis, Stergios, editor.
  Lappin, Shalom, editor.
  Maskharashvili, Aleksandre, editor.
  
• Published/Created:Stanford, California : Center for the Study of Language and Information, [2022]
  

• Holdings

  Holdings Record Display

  • Location:KOERNER LIBRARY stacks (Floor 1)Where is this?
    
  • Call Number: P98 .P745 2022
    
  • Number of Items:1
    
  • Status:Available
    

   
• Library of Congress Subjects:Computational linguistics.
  Natural language processing (Computer science)
  Deep learning (Machine learning)
  
• Description:x, 453 pages : illustrations ; 23 cm
  
• Summary:"During the last two decades, computational linguists, in concert with other researchers in AI, have turned to machine learning and statistical techniques to capture features of natural language and aspects of the learning process that are not easily accommodated in classical algebraic frameworks. These developments are producing a revolution in linguistics in which traditional symbolic systems are giving way to probabilistic and deep learning approaches. This collection features articles that provide background to these approaches, and their application in syntax, semantics, pragmatics, morphology, psycholinguistics, neurolinguistics, and dialogue modeling. Each chapter provides a self-contained introduction to the topic that it covers, making this volume accessible to graduate students and researchers in linguistics, NLP, AI, and cognitive science"-- Provided by publisher.
  
• Notes:Includes bibliographical references.
  
• ISBN:9781684000791 paperback
  1684000793 paperback
  9781684000807 electronic book
  
• Contents:Machine generated contents note: 1. Computational Morphology / Richard Sproat
  2. Something Old, Something New: Grammar-based CCG Parsing with Transformer Models / Stephen Clark
  3. Probabilistic Lexical Semantics: From Gaussian Embeddings to Bernoulli Fields / Guy Emerson
  4. origins of vagueness / Peter Sutton
  5. Bayesian Inference Semantics for Natural Language / Aleksandre Maskharashvili
  6. Probabilistic pragmatics: A dialogical perspective / Ellen Breitholtz
  7. Neuro-computation for Language processing / Vidya Somashekarappa
  8. Learning Language Games Probabilistically: From Crying to Compositionality / Staffan Larsson
  9. Distributional Semantics for Situated Spatial Language? Functional, Geometric and Perceptual Perspectives / Simon Dobniki
  10. Action coordination and learning in dialogue / Eleni Gregoromichelaki
  11. Reanalysis, probability, and the faculty of language / Asad B. Sayeed.