Download or read book Informatique et langue naturelle ILN 93 written by Programme de recherches coordonnées Informatique et linguistique and published by . This book was released on 1993 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book ILN 93 written by and published by . This book was released on 1993 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Informatique et langue naturelle written by Université de Nantes and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book ILN 91 written by and published by . This book was released on 1992 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book TRAITEMENT AUTOMATIQUE DE LA LANGUE NATURELLE ET INTERPRETATION written by LUDOVIC.. TANGUY and published by . This book was released on 1997 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: NOUS PROPOSONS DANS CETTE THESE UNE MODELISATION INFORMATIQUE DE LA SEMANTIQUE INTERPRETATIVE DE F. RASTIER. APRES UNE PREMIERE CRITIQUE DES TRAITEMENTS CLASSIQUES DU LANGAGE NATUREL SOUS SES ASPECTS SEMANTIQUES, NOUS CONCLUONS A UNE NON-REDUCTIBILITE DU SENS D'UN TEXTE A UNE STRUCTURE CALCULEE A PARTIR DE DESCRIPTIONS LOCALES, ET A LA NECESSITE DE DETERMINATIONS GLOBALES. NOUS ETUDIONS ENSUITE LA THEORIE LINGUISTIQUE DE LA SEMANTIQUE INTERPRETATIVE, AFIN D'EN RETIRER LES CONCEPTS CENTRAUX CAPTABLES PAR UNE APPROCHE INFORMATIQUE. NOUS PROPOSONS UN MODELE FORMEL DE DESCRIPTION DE CEUX-CI, AINSI QUE DES MECANISMES DE MANIPULATION DES STRUCTURES SEMANTIQUES DESCRIPTIVES. ENFIN, NOUS PROPOSONS UN LOGICIEL APPLIQUANT CETTE FORMALISATION, SOUS LA FORME D'UNE ASSISTANCE A L'ANALYSE DES TEXTES. NOUS REJOIGNONS UNE APPROCHE DE COOPERATION HOMME-MACHINE, EN DISTINGUANT LES ACTIVITES INTERPRETATIVES PROPRES A L'UTILISATEUR DE LEUR MANIPULATION FORMELLE PAR LA MACHINE. NOUS CONCLUONS PAR UNE MISE EN RELIEF DES AVANTAGES SUGGESTIFS DESCRIPTIFS D'UNE APPROCHE INFORMATIQUE DE CERTAINS ASPECTS DE L'INTERPRETATION.
Download or read book Informatique Langue Naturelle Proc ILN 91 Colloqium Held Nantes 23 24 Jan 1991 written by J- F. Hue and published by . This book was released on 1991 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Traitement automatique des langues et linguistique informatique 1 written by Mohamed Zakaria Kurdi and published by ISTE Group. This book was released on 2017-02-01 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Le traitement automatique des langues (TAL) connaît aujourd’hui un essor majeur. Au carrefour de l’informatique, de la linguistique et de la psychologie cognitive, il se développe grâce à la disponibilité croissante de données numériques en langues naturelles. Pluridisciplinaire, ce premier volume donne les clés pour comprendre et concevoir des systèmes de TAL. Traitement automatique des langues et linguistique informatique 1fournit au lecteur des connaissances théoriques et pratiques sur le traitement de la parole, de la morphologie et de la syntaxe ainsi que sur les ressources linguistiques destinées au TAL. Parmi les nombreuses applications du TAL, sont abordés dans cet ouvrage, la reconnaissance et la synthèse automatiques de la parole, l’analyse morphologique automatique, l’étiquetage en parties du discours ainsi que l’analyse syntaxique automatique.
Download or read book ELABORATION D UN ANALYSEUR MORPHO SYNTAXIQUE D UNE LANGUE NATURELLE APPLICATION A L INFORMATIQUE DOCUMENTAIRE written by Georges Antoniadis and published by . This book was released on 1984 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Natural Language Processing in Artificial Intelligence written by Brojo Kishore Mishra and published by CRC Press. This book was released on 2020-11-01 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.
Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Download or read book Neural Network Methods in Natural Language Processing written by Yoav Goldberg and published by Morgan & Claypool Publishers. This book was released on 2017-04-17 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Download or read book Deep Learning in Natural Language Processing written by Li Deng and published by Springer. This book was released on 2018-05-23 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.
Download or read book Handbook of Natural Language Processing written by Nitin Indurkhya and published by CRC Press. This book was released on 2010-02-22 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater
Download or read book Machine Learning of Natural Language written by David M.W. Powers and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: We met because we both share the same views of language. Language is a living organism, produced by neural mechanisms relating in large numbers as a society. Language exists between minds, as a way of communicating between them, not as an autonomous process. The logical 'rules' seem to us an epiphe nomena ·of the neural mechanism, rather than an essential component in language. This view of language has been advocated by an increasing number of workers, as the view that language is simply a collection of logical rules has had less and less success. People like Yorick Wilks have been able to show in paper after paper that almost any rule which can be devised can be shown to have exceptions. The meaning does not lie in the rules. David Powers is a teacher of computer science. Christopher Turk, like many workers who have come into the field of AI (Artificial Intelligence) was originally trained in literature. He moved into linguistics, and then into computational linguistics. In 1983 he took a sabbatical in Roger Shank's AI project in the Computer Science Department at Yale University. Like an earlier visitor to the project, John Searle from California, Christopher Turk was increasingly uneasy at the view of language which was used at Yale.
Download or read book Natural Language Processing for Social Media written by Anna Atefeh Farzindar and published by Morgan & Claypool Publishers. This book was released on 2020-04-10 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.
Download or read book Elaboration d un syst me d analyse morpho syntaxique d une langue naturelle written by Georges Antoniadis and published by . This book was released on 1984 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book laboration d un syst me d analyse morpho syntaxique d une langue naturelle written by Georges Antoniadis and published by . This book was released on 1987 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
