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The Computational Nature of Language Learning and Evolution

The introduction of a mathematical and computational framework within which to analyze the interplay between language learning and language;

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Linguistic Evolution through Language Acquisition

impose further structure on an emerging system; and the evolution of language(s) in relation to this learning mechanism.;

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Logic and Algorithms in Computational Linguistics 2018 (LACompLing2018)

topics in computational theories of human language, covering grammar, syntax, and semantics. The common thread running through the research;

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Computational Modeling Of Human Language Acquisition

existing computational models attempt to study the complex task of learning a language under cognitive plausibility criteria (such as memory and;

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Language, Cognition, and Human Nature

language development in children, mental imagery, the recognition of shapes, the computational architecture of the mind, the meaning and uses;

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Evaluating Cartesian Linguistics

evolution of Chomsky's theorizing, empirical language acquisition work, and computational modeling of language learning. Chomsky claims that his;

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Computational Issues in Fluid Construction Grammar

patterns, as for investigating language learning and language evolution. The book focuses on the many complex computational issues that arise when;

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Creating Language

A work that reveals the profound links between the evolution, acquisition, and processing of language, and proposes a new integrative;

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Creating Language

A work that reveals the profound links between the evolution, acquisition, and processing of language, and proposes a new integrative;

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Computational Linguistics

computational linguistics involves the development of formal theories related to grammar and semantics. Within applied computational linguistics, the;

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Evolution and Learning

behavior, might affect evolution. The essays in this book discuss the originally proposed Baldwin effect, how it was modified over time, and its;

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Language, Cognition, and Computational Models

recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original;

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Nature-Inspired Computation in Engineering

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications;

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Intelligent Computing Theories

and computational linguistics, fuzzy theory and models, soft computing, unsupervised and reinforced learning, intelligent computing in finance;

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Linguistic Nativism and the Poverty of the Stimulus

in language learning in the context of the wider debate over cognitive, computational, and linguistic issues. * Critically examines the Argument from;

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Evolution in Computational Intelligence

This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA;

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Computational Collective Intelligence

This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020;

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Empiricism and Language Learnability

theoretical analysis using probabilistic learning theory, and looking at the computational problems involved in learning richly structured grammars;

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APL with a Mathematical Accent

computational capabilities of the language for the newcomer to APL. It focuses on the mathematical nature of the language, and complements standard;

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Evolution & Learning - The Baldwin Effect Reconsidered

theorists independently speculated that learned behaviors could also affect the direction and rate of evolutionary change. This notion was called;

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The Language of Thought

A philosophical refashioning of the Language of Thought approach and the related computational theory of mind. The language of thought (LOT;

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The Language of Thought

A philosophical refashioning of the Language of Thought approach and the related computational theory of mind. The language of thought (LOT;

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Foundations of Intensional Semantics

semantics, and the formal power of the semantic representation language. It proposes a theory that offers a promising framework for developing a;

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The Oxford Handbook of Computational Linguistics

linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus;

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Natural Language Processing and Computational Linguistics

computational linguistics algorithms. Key Features Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras;

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Inventive Computation Technologies

, imprecision, and vagueness in various real-life problems. The challenge of blending modern computational techniques with traditional computing methods;

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The Evolutionary Emergence of Language

perspective which offers a bold synthesis of the human and natural sciences. As a feature of human social intelligence, language evolution is driven;

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