Memory-Based Language Processing (Studies in Natural Language Processing)

Memory-based language processing--a machine learning and problem solving method for language technology--is based on the idea that the direct re-use of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information.

The Handbook of Computational Linguistics and Natural Language Processing

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 forward......

 

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A Consumer's Dictionary of Food Additives, 7th Edition: Descriptions in Plain English of More Than 12,000 Ingredients Both Harmful and Desirable Found

An Essential Household Reference…Revised and Updated
With our culture’s growing interest in organic foods and healthy eating, it is important to understand what food labels mean and to learn how to read between the lines. This completely revised and updated edition of A Consumer’s Dictionary of Food Additives gives you the facts about the safety and side effects of more than 12,000 ingredients–such as preservatives, food-tainting pesticides, and animal drugs–that end up in food as a result of processing and curing. It tells you what’s safe
and what you should leave on the grocery-store shelves

Computational Linguistics and Intelligent Text Processing: 11th International Conference

This book constitutes the proceedings of the 11th International Conference on Computational Linguistics and Intelligent Text Processing, held in Iasi, Romania, in March 2010. The 60 paper included in the volume were carefully reviewed and selected from numerous submissions. The book also includes 3 invited papers. The topics covered are: lexical resources, syntax and parsing, word sense disambiguation and named entity recognition, semantics and dialog, humor and emotions, machine translation and multilingualism, information extraction, information retrieval, text categorization and classification, plagiarism detection, text summarization, and speech generation.

Microbiologically Safe Foods

This book focuses on state of the art technologies to produce microbiologically safe foods for our global dinner table.  Each chapter summarizes the most recent scientific advances, particularly with respect to food processing, pre- and post-harvest food safety, quality control, and regulatory information.