Download or read book The Phraseology of Administrative French written by Wendy J. Anderson and published by BRILL. This book was released on 2016-08-01 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The French administrative language of the European Union is an emerging discourse: it is only fifty years old, and has its origins in the French administrative register of the middle of the twentieth century, but it is also a unique contact situation in which translation has always played a pivotal role. Using the methodology of corpus linguistics, and a specially compiled corpus of texts, covering a range of genres, this book describes the current discourse of EU French from the perspective of phraseology and collocational patterning, and in particular in comparison with its French national counterpart. Corpus methodology and an inclusive notion of phraseology, embracing typical formulae, locutions, and patterning around keywords, reveal subtleties and patterns which otherwise remain hidden, and point to a discourse of EU French whose novel context of production has led it to be phraseologically conservative, compared with the administrative French of France.

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Download or read book Actes de la Session written by International Statistical Institute and published by . This book was released on 1995 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Informatique Et Information Scientifique Et Technique written by Christian Bornes and published by Le Chesnay, France : Institut national de recherche en informatique et en automatique. This book was released on 1982 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Congress Reports written by and published by . This book was released on 1989 with total page 1086 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Bayesian Analysis in Natural Language Processing written by Shay Cohen and published by Springer Nature. This book was released on 2022-11-10 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language. Since then, the use of statistical techniques in NLP has evolved in several ways. One such example of evolution took place in the late 1990s or early 2000s, when full-fledged Bayesian machinery was introduced to NLP. This Bayesian approach to NLP has come to accommodate for various shortcomings in the frequentist approach and to enrich it, especially in the unsupervised setting, where statistical learning is done without target prediction examples. We cover the methods and algorithms that are needed to fluently read Bayesian learning papers in NLP and to do research in the area. These methods and algorithms are partially borrowed from both machine learning and statistics and are partially developed "in-house" in NLP. We cover inference techniques such as Markov chain Monte Carlo sampling and variational inference, Bayesian estimation, and nonparametric modeling. We also cover fundamental concepts in Bayesian statistics such as prior distributions, conjugacy, and generative modeling. Finally, we cover some of the fundamental modeling techniques in NLP, such as grammar modeling and their use with Bayesian analysis.

Download or read book Machine Translation written by Thierry Poibeau and published by MIT Press. This book was released on 2017-09-15 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and major players in the industry. The dream of a universal translation device goes back many decades, long before Douglas Adams's fictional Babel fish provided this service in The Hitchhiker's Guide to the Galaxy. Since the advent of computers, research has focused on the design of digital machine translation tools—computer programs capable of automatically translating a text from a source language to a target language. This has become one of the most fundamental tasks of artificial intelligence. This volume in the MIT Press Essential Knowledge series offers a concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and market potential. The main approaches are presented from a largely historical perspective and in an intuitive manner, allowing the reader to understand the main principles without knowing the mathematical details. The book begins by discussing problems that must be solved during the development of a machine translation system and offering a brief overview of the evolution of the field. It then takes up the history of machine translation in more detail, describing its pre-digital beginnings, rule-based approaches, the 1966 ALPAC (Automatic Language Processing Advisory Committee) report and its consequences, the advent of parallel corpora, the example-based paradigm, the statistical paradigm, the segment-based approach, the introduction of more linguistic knowledge into the systems, and the latest approaches based on deep learning. Finally, it considers evaluation challenges and the commercial status of the field, including activities by such major players as Google and Systran.