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increasing availability of historical texts in digital form, there is a growing interest in applying natural language processing (NLP) methods and;
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increasing availability of historical texts in digital form, there is a growing interest in applying natural language processing (NLP) methods and;
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natural language processing in IT and web systems, describing semantic analysis of natural language queries for an object oriented database;
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Readings in Japanese Natural Language Processing surveys a wide range of texts that explore Japanese morphology and syntactic analysis;
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proved to be a fascinating language for natural language and speech processing research and applications. After an overview of the aspects;
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researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for;
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natural language processing techniques. Identify machine learning and deep learning techniques for natural language processing and natural;
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of Natural Language Processing. The book will be useful for the B.Tech. and M.Tech. students.;
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This book describes approaches for integrating more automation to the early stages of EDA design flows. Readers will learn how natural;
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recipe is carefully designed to fulfill your appetite for Natural Language Processing. Packed with numerous illustrative examples and code;
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Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these;
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As natural language processing spans many different disciplines, it is sometimes difficult to understand the contributions and the;
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Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). The book uses spaCy, a leading;
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checking. The ability of a computer program to understand human language is known as natural language processing. The two main techniques used with;
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Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle;
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- Hyphenation. Spelling Checking and Correction. Part V. Natural Language Processing. Tools for Writers. Authorship Studies. Abstraction;
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standings within the public sphere. Natural Language Processing for Global and Local Business provides research exploring the theoretical and;
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the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative;
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the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative;
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This book covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by;
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This book teaches the principles of natural language processing and covers linguistics issues. It also details the language-processing;
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This book constitutes the thoroughly refereed proceedings of the Eleventh International Symposium on Natural Language Processing (SNLP-2016;
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Although there has been much progress in developing theories, models and systems in the areas of Natural Language Processing (NLP) and;
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Parallel processing is not only a general topic of interest for computer scientists and researchers in artificial intelligence, but it;
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comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for;
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selected from 70 submissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing;
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