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Links to Free Computer, Mathematics, Technical Books all over the World
Computational Linguistics and Natural Language Processing (NLP)
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  • Foundation Models for Natural Language Processing

    This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.

  • Representation Learning for Natural Language Processing

    This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models.

  • Vector Semantics (AndrĂ¡s Kornai)

    This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures.

  • 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.

  • 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.

  • 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.

  • The Unicode Cookbook for Linguists (Steven Moran, et al)

    This book is a practical guide to Unicode for linguists, and programmers, who work with data in multilingual computational environments. It describes a formal specification of orthography profiles and provide recipes using open source tools.

  • Programming with Unicode (Victor Stinner)

    This book explains how to sympathize with Unicode, and how you should modify your program to avoid most, or all, issues related to encodings and Unicode. It offers specific guidance on integrating Unicode with other technologies.

  • The Unicode Standard (The Unicode Consortium)

    This is the one book all developers using Unicode must have. The core specification gives the general principles, requirements for conformance, and guidelines for implementers. The code charts show representative glyphs for all the Unicode characters.

  • 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.

  • 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.

  • 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.

  • Syntactic Theory: A Formal Introduction (Ivan A. Sag, et al)

    This is a textbook that makes it truly fun to teach introductory syntax. It is thoroghly data-driven and teaches the student to pay attention to empirical details and to find linguistic patterns and explanations for them.

  • Advancing Natural Language Processing in Educational Assessment

    This book examines the use of natural language technology in educational testing, measurement, and assessment, provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring and beyond.

  • O'Reilly® Natural Language Processing with Python

    This book offers a highly accessible introduction to natural language processing (NLP), the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.

  • Hands-On Natural Language Processing with Python

    It teaches you how to leverage deep learning models for performing various NLP tasks, along with best practices in dealing with today's NLP challenges. you will be well versed in building deep learning-backed NLP applications, along with overcoming NLP challenges.

  • Natural Language Processing Succinctly (Joseph Booth)

    This book will guide readers through designing a simple system that can interpret and provide reasonable responses to written English text. With this foundation, readers will be prepared to tackle the greater challenges of natural language development.

  • NLP - Skills for Learning (Peter Freeth)

    This is a book about the application of NLP (Neuro Linguistic Programming) in teaching, training and education. It is a book about NLP for trainers and a general introduction to NLP - all in one.

  • Natural Language Processing for the Working Programmer

    This book is a guide to the wonderful world of language processing for the practical working programmer, using Haskell. It is about that type of information - techniques that so-called computational linguists use to analyze the structure of human language.

  • Natural Language Processing for Prolog Programmers

    An examination of natural language processing in Prolog for those who know Prolog but not linguistics, this book enables students to move quickly into writing and working in useful software for natural language processing (NLP).

  • Prolog and Natural-Language Analysis (Fernando Pereira, et al)

    A concise and practical introduction to logic programming and the language Prolog both as vehicles for understanding elementary computational linguistics and as tools for implementing the basic components of natural-language-processing (NLP) systems.

  • Natural Language Processing Techniques in Prolog

    This book introduces the subject through the discussion and development of various computer programs which illustrate some of the basic concepts and techniques of natural language processing (NLP).

  • Machine Translation: An Introductory Guide (Doug Arnold, et al)

    This introductory book looks at all aspects of Machine Translation: covering questions of what it is like to use a modern Machine Translation system, through questions about how it is done, to questions of evaluating systems, and what developments can be foreseen.

  • Algebraic Combinatorics on Words (M. Lothaire)

    This book is both a comprehensive introduction to the subject and a valuable reference source for researchers. An introductory chapter provides the reader with all the necessary background material.

  • Applied Combinatorics on Words (M. Lothaire)

    The aim of this book is to present a unified treatment of some of the major fields of applications of combinatorics.

  • Semantics - Advances in Theories and Mathematical Models

    This book is a nice blend of number of great ideas, theories, mathematical models, and practical systems in the domain of Semantics. It highlights the advances in theories and mathematical models in the domain of Semantics.

  • Semantics in Action - Applications and Scenarios

    This book is a nice blend of number of great ideas, theories, mathematical models, and practical systems in the domain of Semantics. It highlights highlights the state-of-the-art application areas in the domain of Semantics.

  • Language Translation Using PCCTS and C++: A Reference Guide

    This book is a reference guide for the parser generator ANTLR, ANother Tool for Language Recognition, and the tree-parser generator SORCERER, which is suited to source-to-source translation.

  • Creative Multilingualism: A Manifesto (Katrin Kohl, et al.)

    This book is a welcome contribution to the field of modern languages, highlighting the intricate relationship between Multilingualism and creativity, and, crucially, reaching beyond an Anglo-centric view of the world.

  • Discourses on Social Software (Jan van Eijck, et al)

    This book details the many ways in which the seemingly abstract disciplines of logic and computer science can be used to analyze and solve contemporary social problems, offers the reader a fascinating introduction to the innovative field of social software.

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