Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
When Arguments Merge
Top Free Data Science Books 🌠 - 100% Free or Open Source!
  • Title: When Arguments Merge
  • Author(s) Elise Newman
  • Publisher: The MIT Press (October 15, 2024); eBook (Creative Commons Licensed)
  • License(s): Creative Commons License (CC)
  • Hardcover/Paperback: 230 pages
  • eBook: PDF and PDF Files
  • Language: English
  • ISBN-10: 0262549107
  • ISBN-13: 978-0262549103
  • Share This:  

Book Description

A novel theory of argument structure based on the order in which verbs and their arguments combine across a variety of languages and language families. Merge is the structure-building operation in Chomsky's Minimalist Program.

About the Authors
  • Elise Newman is Postdoctoral Associate in the Department of Linguistics and Philosophy at MIT.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Essentials of Linguistics (Catherine Anderson)

    This book is about the core areas of theoretical linguistics (phonetics, phonology, morphology, syntax, and semantics), supplemented with discussion of psycholinguistic and neurolinguistic findings. It is suitable for any beginning learner of linguistics.

  • How Language Works: The Cognitive Science of Linguistics

    This book offers general readers a personal tour of the intricate workings of language. It will focus on a narrow range of topics and themes; there will be no pretense of covering the field in anything like a complete fashion.

  • Computational Cognitive Modeling and Linguistic Theory

    This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components.

  • Linguistics for the Age of AI (Marjorie McShane, et al)

    This book summarizes an exciting approach to knowledge-rich natural language understanding, in the context of language - using AI agents. Anyone interested in building cognitive systems that use language should read this book.

  • Speech and Language Processing (Dan Jurafsky, et al)

    This text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. It describes a unified vision of speech and language processing. Emphasis is on practical and scientific applications.

  • Machine Translation for Everyone: Age of Artificial Intelligence

    This book presents a rationale for learning about Machine Translation (MT), and provides both a basic introduction to contemporary machine-learning based MT, and a more advanced discussion of neural MT.

  • Computational Linguistics: Models, Resources, Applications

    This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). It will be of interest and practical use to a wide range of linguists.

  • Analyzing Linguistic Data: Introduction to Statistics using R

    A straightforward introduction to the statistical analysis of language, designed for those with a non-mathematical background. Using the leading statistics programme 'R'. Suitable for all those working with quantitative language data.

  • Mathematical Linguistics (Andras Kornai)

    This book introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing (NLP). It presents linguistics as a cumulative body of knowledge from the ground up.

Book Categories
:
Other Categories
Resources and Links