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Automatic Speech Translation introduces recent results of Japanese research and development in speech translation and speech recognition. This book presents the complicated technological aspects of machine translation and speech recognition, and outlines the future directions of this rapidly developing area of technology.
Originally published in 1992, this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major application area of AI. This volume was an attempt primarily to inform fellow AI workers of recent European work in AI. It was hoped that researchers in ‘sister’ disciplines, such as computer science and linguistics would gain a deeper understanding of the assumptions, techniques and tools of contemporary AI.
This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.
Text and Wine: Approaches from terminology and translation collects part of the results of the research project WeinApp: Multilingual System of Information and Winegrowing-Resources (MINECO, Ref. FFI2016-79785-R), carried out by researchers from the universities of Cordoba and Cadiz (Spain), on wine production, the wine sector, and its language and terminology in English, French, German and Spanish. The editors, principal investigators of the project, begin the volume, which contains works on phytopathology, lexical domains and subdomains, wine tourism, agro-legal texts, Indo-European languages, labelling, tasting metaphors, wine and literature, interpretation, wine and medicine, oenological websites, and lexical and morphosyntactic formation around the language of wine.
One of the aims of Natural Language Processing is to facilitate .the use of computers by allowing their users to communicate in natural language. There are two important aspects to person-machine communication: understanding and generating. While natural language understanding has been a major focus of research, natural language generation is a relatively new and increasingly active field of research. This book presents an overview of the state of the art in natural language generation, describing both new results and directions for new research. The principal emphasis of natural language generation is not only to facili tate the use of computers but also to develop a computational theory of human language ability. In doing so, it is a tool for extending, clarifying and verifying theories that have been put forth in linguistics, psychology and sociology about how people communicate. A natural language generator will typically have access to a large body of knowledge from which to select information to present to users as well as numer of expressing it. Generating a text can thus be seen as a problem of ous ways decision-making under multiple constraints: constraints from the propositional knowledge at hand, from the linguistic tools available, from the communicative goals and intentions to be achieved, from the audience the text is aimed at and from the situation and past discourse. Researchers in generation try to identify the factors involved in this process and determine how best to represent the factors and their dependencies.
This book constitutes the thoroughly refereed proceedings of the Second International Joint Conference on Natural Language Processing, IJCNLP 2005, held in Jeju Island, Korea in October 2005. The 88 revised full papers presented in this volume were carefully reviewed and selected from 289 submissions. The papers are organized in topical sections on information retrieval, corpus-based parsing, Web mining, rule-based parsing, disambiguation, text mining, document analysis, ontology and thesaurus, relation extraction, text classification, transliteration, machine translation, question answering, morphological analysis, text summarization, named entity recognition, linguistic resources and tools, discourse analysis, semantic analysis NLP applications, tagging, language models, spoken language, and terminology mining.
On-line information -- and free text in particular -- has emerged as a major, yet unexploited, resource available in raw form. Available, but not accessible. The lexicon provides the major key for enabling accessibility to on-line text. The expert contributors to this book explore the range of possibilities for the generation of extensive lexicons. In so doing, they investigate the use of existing on-line dictionaries and thesauri, and explain how lexicons can be acquired from the corpus -- the text under investigation -- itself. Leading researchers in four related fields offer the latest investigations: computational linguists cover the natural language processing aspect; statisticians point out the issues involved in the use of massive data; experts discuss the limitations of current technology; and lexicographers share their experience in the design of the traditional dictionaries.