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Cognitive Approach to Natural Language Processing

As natural language processing spans many different disciplines, it is sometimes difficult to understand the contributions and the;

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Subsymbolic Natural Language Processing

Risto Miikkulainen draws on recent connectionist work in language comprehension to create a model that can understand natural language;

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Natural Language Processing and Cognitive Science

Peer reviewed articles from the Natural Language Processing and Cognitive Science (NLPCS) 2014 meeting in October 2014 workshop. The;

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Cognitive Models of Speech Processing

recognition and natural-language processing, along with a substantial body of new experimental data and computational simulations. Topics range from;

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Natural Language Processing

language characteristics; shallow parsing approach to natural language queries of a database; comparative study to understanding about poetics;

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Relevance Theory meets Markedness

effort may play in natural language processing. From a pragmatic perspective various approaches to a plausible definition of cognitive effort are;

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Natural Language Processing in Artificial Intelligence-NLPinAI 2020

systems). The goal is to promote computational systems of intelligent natural language processing and related models of computation, language;

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EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human;

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Connectionist Natural Language Processing

CNLP is an approach to natural language. This book brings together a comprehensive set of articles.;

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Human-Machine Interaction in Translation

This special issue of Copenhagen Studies in Language series is devoted to human and machine translation and human-computer interaction;

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Approaches to Studying World-Situated Language Use

Recent approaches to language processing have focused either on individual cognitive processes in producing and understanding language or;

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Approaches to Studying World-Situated Language Use

Recent approaches to language processing have focused either on individual cognitive processes in producing and understanding language or;

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Natural Language Processing Recipes

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises;

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Python Text Processing with NLTK 2.0 Cookbook

The learn-by-doing approach of this book will enable you to dive right into the heart of text processing from the very first page. Each;

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An Introduction to Language Processing with Perl and Prolog

approach throughout, with extensive exercises, sample code in Prolog and Perl, and a detailed introduction to Prolog. The book is suitable for;

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Cognition and Acquired Language Disorders

and treatment strategies for the management of these disorders. The text is organized using an information processing approach to acquired;

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2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human;

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Natural Language Processing and Computational Linguistics

with the process of programming computers to analyze and process natural language data on a large scale. It is considered to be a subfield;

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Studies in Natural Language Processing

applications of relational models to the construction of natural language interfaces, the building of thesauri for bibliographic information retrieval;

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Natural Language Processing in Artificial Intelligence

This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables;

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Memory, Language, and Bilingualism

-world approach to second language learning, use and processing from a cognitive perspective. A strong international and interdisciplinary team;

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Memory, Language, And Bilingualism

-world approach to second language learning, use and processing from a cognitive perspective. A strong international and interdisciplinary team;

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Meaning and Cognition

inquiry complementary to a cognitive approach to the semantics of natural language.;

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Cognitive Computing Using Green Technologies

techniques and offers a data-driven approach to decision making and problem solving. This book is written for researchers, academicians;

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Deep Learning and Linguistic Representation

The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range;

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Deep Learning and Linguistic Representation

The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range;

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Coarse-to-Fine Natural Language Processing

The impact of computer systems that can understand natural language will be tremendous. To develop this capability we need to be able to;

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