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This book provides a state of the art on work being done with parsed corpora. It gathers 21 papers on building and using parsed corpora raising many relevant questions, and deals with a variety of languages and a variety of corpora. It is for those working in linguistics, computational linguistics, natural language, syntax, and grammar.
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.
Machine translation (MT) is the area of computer science and applied linguistics dealing with the translation of human languages such as English and German. MT on the Internet has become an important tool by providing fast, economical and useful translations. With globalisation and expanding trade, demand for translation is set to grow. Translation Engines covers theoretical and practical aspects of MT, both classic and new, including: - Character sets and formatting languages - Translation memory - Linguistic and computational foundations - Basic computational linguistic techniques - Transfer and interlingua MT - Evaluation Software accompanies the text, providing readers with hands on experience of the main algorithms.
"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.
Information extraction (IE) is a new technology enabling relevant content to be extracted from textual information available electronically. IE essentially builds on natural language processing and computational linguistics, but it is also closely related to the well established area of information retrieval and involves learning. In concert with other promising and emerging information engineering technologies like data mining, intelligent data analysis, and text summarization, IE will play a crucial role for scientists and professionals as well as other end-users who have to deal with vast amounts of information, for example from the Internet. As the first book solely devoted to IE, it is of relevance to anybody interested in new and emerging trends in information processing technology.