You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives the reader a panoramic view of both early and current research in NLP. Carefully chosen multilingual examples present the state of the art of a mature field which is in a constant state of evolution. In four chapters, this book presents the fundamental concepts of phonetics and phonology and the two most important applications in the field of speech processing: recognition and synthesis. Also presented are the fundamental concepts of corpus linguistics and the basic concepts of morphology and its NLP applications such as stemming and part of speech tagging. The fundamental notions and the most important syntactic theories are presented, as well as the different approaches to syntactic parsing with reference to cognitive models, algorithms and computer applications.
Natural Language Processing (NLP) is a scientific discipline which is found at the intersection of fields such as Artificial Intelligence, Linguistics, and Cognitive Psychology. This book presents in four chapters the state of the art and fundamental concepts of key NLP areas. Are presented in the first chapter the fundamental concepts in lexical semantics, lexical databases, knowledge representation paradigms, and ontologies. The second chapter is about combinatorial and formal semantics. Discourse and text representation as well as automatic discourse segmentation and interpretation, and anaphora resolution are the subject of the third chapter. Finally, in the fourth chapter, I will cover some aspects of large scale applications of NLP such as software architecture and their relations to cognitive models of NLP as well as the evaluation paradigms of NLP software. Furthermore, I will present in this chapter the main NLP applications such as Machine Translation (MT), Information Retrieval (IR), as well as Big Data and Information Extraction such as event extraction, sentiment analysis and opinion mining.
Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives the reader a panoramic view of both early and current research in NLP. Carefully chosen multilingual examples present the state of the art of a mature field which is in a constant state of evolution. In four chapters, this book presents the fundamental concepts of phonetics and phonology and the two most important applications in the field of speech processing: recognition and synthesis. Also presented are the fundamental concepts of corpus linguistics and the basic concepts of morphology and its NLP applications such as stemming and part of speech tagging. The fundamental notions and the most important syntactic theories are presented, as well as the different approaches to syntactic parsing with reference to cognitive models, algorithms and computer applications.
The four-volume set LNAI 6276--6279 constitutes the refereed proceedings of the 14th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2010, held in Cardiff, UK, in September 2010. The 272 revised papers presented were carefully reviewed and selected from 360 submissions. They present the results of high-quality research on a broad range of intelligent systems topics.
This book constitutes revised selected papers from the 6th International Conference on Arabic Language Processing, ICALP 2017, held in Fez, Morocco, in October 2017. The 18 full papers presented in this volume were carefully reviewed and selected from 55 submissions. They were organized in topical sections named: machine translation systems; speech recognition and synthesis; text categorization, clustering and summarization; information retrieval systems; and Arabic NLP tools and applications.
Humans use countless tools and are constantly creating new ones. We are so prone to materiality that the changes we implement in our environment could put our very survival at stake. It has therefore become necessary to question the cognitive origins of this materiality. The Tool Instinct examines this subject by diametrically setting aside the idea that tool use is limited to manual activity. It proposes an original perspective that surpasses a great number of false beliefs regarding the relationship between humans and tools. The author argues that the human tendency to create and use tools relies on our ability (one that may be unique to our species) to generate our own physical problems, thereby resulting in a reasoning that is directed towards our physical world.
This volume contains the papers prepared for the 2nd International Conference on Natural Language Processing, held 2-4 June in Patras, Greece. The conference program features invited talks and submitted papers, c- ering a wide range of NLP areas: text segmentation, morphological analysis, lexical knowledge acquisition and representation, grammar formalism and s- tacticparsing,discourse analysis,languagegeneration,man-machineinteraction, machine translation, word sense disambiguation, and information extraction. The program committee received 71 abstracts, of which unfortunately no more than 50% could be accepted. Every paper was reviewed by at least two reviewers. The fairness of the reviewi...
The use of experimental methodology in the field of linguistics has boomed in recent decades. However, implementation of such methods does require an understanding and mastery of specific theoretical and methodological principles. Introduction to Experimental Linguistics presents the key concepts of experimental linguistics in an accessible way, addressing, in turn: the application of experimentation in linguistics; the techniques most frequently used for the study of language; the methodological and practical aspects useful for the implementation of an experiment; and an introduction to the analysis of quantitative data derived from experiments. This didactic book combines the elements presented with examples drawn from the various fields of linguistics. It also includes a number of resources available for people who wish to implement an experimental study, more advanced reading suggestions, and revision questions along with their answer key.
A quantitative analyst’s introduction to the theory and practice of ESG finance In Quantitative Methods for ESG Finance, accomplished risk and ESG experts Dr. Cyril Shmatov and Cino Robin Castelli deliver an incisive and essential introduction to the quantitative basis of ESG finance from a quantitative analyst’s perspective. The book combines the theoretical and mathematical bases underlying risk factor investing and risk management with accessible discussions of ESG applications. The authors explore the increasing availability of non-traditional data sources for quantitative analysts and describe the quantitative/statistical techniques they’ll need to make practical use of these data...
This study examines the linguistic tools which enable speakers and writers to propose adjustments and re-adjustments of the sentences they’ve just produced, as well as the goals they fulfil by doing so. We examine corrections, reformulations, specifications, modifications of points of views and link them with discursive strategies. (Re)-adjustments can be made in order to express oneself in a better way, to favor comprehension by adapting to the addressee, to structure one’s intervention, to play on the potentialities of language (polysemy, homonymy, ambiguity), to mention the main purposes associated with the use of those devices. The study focuses on the markers associated with those strategies. Therefore, it links the syntactic, semantic and pragmatic levels.