Discourse Processing here is framed as marking up a text with structural descriptions on several levels, which can serve to support many language-processing or text-mining tasks.
This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language.
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications.
Considerable progress has been made in recent years in the development of dialogue systems that support robust and efficient human-machine interaction using spoken language.
This book introduces Chinese language-processing issues and techniques to readers who already have a basic background in natural language processing (NLP).
Linguistic annotation and text analytics are active areas of research and development, with academic conferences and industry events such as the Linguistic Annotation Workshops and the annual Text Analytics Summits.
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language.
This SpringerBrief presents the data- information-and-time (DIT) model that precisely clarifies the semantics behind the terms data, information and their relations to the passage of real time.
This handbook provides a comprehensive account of current research on the finite-state morphology of Georgian and enables the reader to enter quickly into Georgian morphosyntax and its computational processing.
This book furthers the historical and technical debate by looking at reasoning as the action of language when it is devoted to explaining or foretelling, based on the authors' centennial combined experience in fuzzy logic.
This book explores how corpus linguistic techniques can be applied to close analysis of videogames as a text, particularly examining how language is used to construct representations of gender in fantasy videogames.
This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability.
This book covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by language (artificial, human, or natural in other ways).
Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018.
This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems.
This volume offers a diachronic sociolinguistic perspective on one of the most complex and fascinating variable speech phenomena in contemporary French.
This book presents established and state-of-the-art methods in Language Technology (including text mining, corpus linguistics, computational linguistics, and natural language processing), and demonstrates how they can be applied by humanities scholars working with textual data.
This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT algorithms in both single channel and multi-channel enhancement systems, which has proven to be an ideal time frequency analysis tool in many speech signal processing applications.
This book builds on decades of research and provides contemporary theoretical foundations for practical applications to intelligent technologies and advances in artificial intelligence (AI).
Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R.
This book provides a timely and comprehensive overview of current theories and methods in fuzzy logic, as well as relevant applications in a variety of fields of science and technology.
This book explores the use of discourse markers - lexical items where drawing a distinction between propositional and non-propositional, syntactically-semantically integrated and discourse-pragmatic uses is especially relevant.
This book offers a descriptive and practical analysis of prosody in dubbed speech, examining the most distinctive traits that typify dubbed dialogue at the prosodic level.
This book focuses mainly on logical approaches to computational linguistics, but also discusses integrations with other approaches, presenting both classic and newly emerging theories and applications.
This book focuses on the multifarious aspects of 'fuzzy boundaries' in the field of discourse studies, a field that is marked by complex boundary work and a great degree of fuzziness regarding theoretical frameworks, methodologies, and the use of linguistic categories.
This book provides information on digital audio watermarking, its applications, and its evaluation for copyright protection of audio signals - both basic and advanced.
This book introduces a novel type of expert finder system that can determine the knowledge that specific users within a community hold, using explicit and implicit data sources to do so.