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Finite-State Methods and Natural Language Processing

This book constitutes the refereed proceedings of the 8th International Workshop on the Finite-State-Methods and Natural Language;

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Finite-state Language Processing

results and algorithms are described and illustrated with simple formal language examples as well as natural language examples.Contributors;

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Finite-State Language Processing

results and algorithms are described and illustrated with simple formal language examples as well as natural language examples. Contributors;

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Natural Language Processing and Text Mining

Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text;

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An Introduction to Natural Language Processing Through Prolog

language used is Prolog, which is especially well-suited for Natural Language Processing and those with little or no background in computing;

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Introduction To Natural Language Processing Through Prolog

language used is Prolog, which is especially well-suited for Natural Language Processing and those with little or no background in computing;

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Graph-based Natural Language Processing and Information Retrieval

Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these;

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Efficient Numerical Methods and Information-Processing Techniques for Modeling Hydro- and Environmental Systems

Numerical simulation models have become indispensable in hydro- and environmental sciences and engineering. This monograph presents a;

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Natural Language Processing for Global and Local Business

standings within the public sphere. Natural Language Processing for Global and Local Business provides research exploring the theoretical and;

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Finite-State Text Processing

Weighted finite-state transducers (WFSTs) are commonly used by engineers and computational linguists for processing and generating speech;

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Natural Language Processing for Electronic Design Automation

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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Advances in Natural Language Processing

This book constitutes the refereed proceedings of the 5th International Conference on Natural Language Processing, FinTAL 2006, held;

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Foundations of Statistical Natural Language Processing

comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for;

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Scientific Applications Of Language Methods

of formal language tools in several fields, including logic and discrete mathematics, natural language processing, artificial intelligence, natural;

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Finite-State Techniques

Finite-state methods are the most efficient mechanisms for analysing textual and symbolic data, providing elegant solutions for an immense;

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Natural Language Processing

in natural language processing, mathematical algorithms in natural language processing, and natural language in mobile systems. Section 1 focuses on;

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Handbook of Finite State Based Models and Applications

finite state automata) have found wide use in various areas of computer science and engineering. Handbook of Finite State Based Models and;

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Handbook of Finite State Based Models and Applications

finite state automata) have found wide use in various areas of computer science and engineering. Handbook of Finite State Based Models and;

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Neural Networks for Natural Language Processing

daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this;

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Neural Networks for Natural Language Processing

daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this;

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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th;

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Slope Stability 2000

. The topics include: case histories of both natural and constructed slopes; slope stabilization methods; rock slope analysis; shear strength;

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Applied Natural Language Processing with Python

classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace;

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Computational Collective Intelligence

for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language;

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Linguistic Structure Prediction

basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to;

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Connectionist Natural Language Processing

, neuroscience and AI. Work in Connectionist natural language processing (CNLP) is now expanding rapidly, yet much of the work is still only available;

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Natural Language Processing Recipes

modeling, text summarization, text generation, entity extraction, and sentiment analysis. Natural Language Processing Recipes starts by offering;

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