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  • Semantics and Deep Learning

    Series series Elements in Semantics
    This Element covers the interaction of two research areas: linguistic semantics and deep learning. It focuses on three phenomena central to natural language interpretation: reasoning and inference; compositionality; extralinguistic grounding. Representation of these phenomena in recent neural models is discussed, along with the quality of these representations and ways to evaluate them (datasets, ... Leer más

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  • Foundations of Statistical Natural Language Processing

    Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as ... Leer más

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  • Elements of Causal Inference

    Foundations and Learning Algorithms

    Series series Adaptive Computation and Machine Learning series
    A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data.After explaining the ... Leer más

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  • Of Minds and Language

    A Dialogue with Noam Chomsky in the Basque Country

    This book presents a state-of-the-art account of what we know and would like to know about language, mind, and brain. Chapters by leading researchers in linguistics, psycholinguistics, language acquisition, cognitive neuroscience, comparative cognitive psychology, and evolutionary biology are framed by an introduction and conclusion by Noam Chomsky, who places the biolinguistic enterprise in an ... Leer más

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  • The Handbook of Computational Linguistics and Natural Language Processing

    Series series Wiley Handbooks in Linguistics
    This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forwardIncludes an introduction to the major theoretical issues in these fields, as well as the central engineering ... Leer más

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  • Non-axiomatic Logic: A Model Of Intelligent Reasoning

    de Pei Wang ...
    This book provides a systematic and comprehensive description of Non-Axiomatic Logic, which is the result of the author's research for about three decades.Non-Axiomatic Logic is designed to provide a uniform logical foundation for Artificial Intelligence, as well as an abstract description of the “laws of thought” followed by the human mind. Different from “mathematical” logic, where the focus is ... Leer más

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  • The Oxford Handbook of Developmental Linguistics

    Series series Oxford Handbooks
    In this handbook, renowned scholars from a range of backgrounds provide a state of the art review of key developmental findings in language acquisition. The book places language acquisition phenomena in a richly linguistic and comparative context, highlighting the link between linguistic theory, language development, and theories of learning. The book is divided into six parts. Parts I and II ... Leer más

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  • Statistical Machine Translation

    de Philipp Koehn ...
    The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks ... Leer más

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  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in ... Leer más

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  • Linguistics for the Age of AI

    A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems.One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what ... Leer más

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  • How Deeply Human Is Language?

    Chomsky, the Brain, and the AI Fantasy

    A leading neurolinguist explains linguistic theory and large language models—the top contenders for understanding human language—and evaluates them in the context of the brain.Contemporary linguistics, founded and inspired by Noam Chomsky, seeks to understand the hallmark of our humanity—language. Linguists develop powerful tools to discover how knowledge of language is acquired and how the brain ... Leer más

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  • A Theory of Syntax

    Minimal Operations and Universal Grammar

    Human language seems to have arisen roughly within the last 50-100,000 years. In evolutionary terms, this is the mere blink of an eye. If this is correct, then much of what we consider distinctive to language must in fact involve operations available in pre-linguistic cognitive domains. In this book Norbert Hornstein, one of the most influential linguists working on syntax, discusses a topical set ... Leer más

    $47,460 CLP