Author: Cliff Goddard Publisher: Oxford University Press, USA ISBN: 0199560285 Category : Language Arts & Disciplines Languages : en Pages : 512
Book Description
A lively introduction to methods for articulating the meanings of words and sentences, and revealing connections between language and culture. It shows that the study of meaning can be rigorous, insightful, and exciting.
Author: Thomas K. Landauer Publisher: Psychology Press ISBN: 1135603278 Category : Psychology Languages : en Pages : 570
Book Description
The Handbook of Latent Semantic Analysis is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols. The first book
Author: Elad Segev Publisher: Routledge ISBN: 1000471918 Category : Psychology Languages : en Pages : 223
Book Description
Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases. Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews. Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts.
Author: Reinhard Wilhelm Publisher: Springer Science & Business Media ISBN: 3642175406 Category : Computers Languages : en Pages : 240
Book Description
While compilers for high-level programming languages are large complex software systems, they have particular characteristics that differentiate them from other software systems. Their functionality is almost completely well-defined – ideally there exist complete precise descriptions of the source and target languages. Additional descriptions of the interfaces to the operating system, programming system and programming environment, and to other compilers and libraries are often available. This book deals with the analysis phase of translators for programming languages. It describes lexical, syntactic and semantic analysis, specification mechanisms for these tasks from the theory of formal languages, and methods for automatic generation based on the theory of automata. The authors present a conceptual translation structure, i.e., a division into a set of modules, which transform an input program into a sequence of steps in a machine program, and they then describe the interfaces between the modules. Finally, the structures of real translators are outlined. The book contains the necessary theory and advice for implementation. This book is intended for students of computer science. The book is supported throughout with examples, exercises and program fragments.
Author: Eivind Kahrs Publisher: Cambridge University Press ISBN: 9780521631884 Category : Foreign Language Study Languages : en Pages : 328
Book Description
The Indian tradition of semantic elucidation known as nirvacana analysis represented a powerful hermeneutic tool in the exegesis and transmission of authoritative scripture. Nevertheless, it has all too frequently been dismissed by modern scholars as anything from folk-etymology to a primitive forerunner of historical linguistics. Eivind Kahrs argues that such views fall short of explaining both its acceptance within the sophisticated grammatical tradition of vyakarana and its effective usage in the processing of Sanskrit texts. He establishes his argument by investigating the learned Sanskrit literature of Saiva Kashmir and explains the nirvacana tradition in the light of a model substitution, used at least since the time of the Upanisads and later refined in the technical literatures of grammar and ritual. According to this model, a substitute (adesa) takes the place (sthana) of the original placeholder (sthanin). On the basis of a searching analysis of Sanskrit texts, the author argues that this sthana 'place' can be interpreted as 'meaning', the model thereby providing favourable circumstances for reinterpretation and change.
Author: Alexander Gelbukh Publisher: Springer ISBN: 3642287719 Category : Technology & Engineering Languages : en Pages : 153
Book Description
This book is written for both linguists and computer scientists working in the field of artificial intelligence as well as to anyone interested in intelligent text processing. Lexical function is a concept that formalizes semantic and syntactic relations between lexical units. Collocational relation is a type of institutionalized lexical relations which holds between the base and its partner in a collocation. Knowledge of collocation is important for natural language processing because collocation comprises the restrictions on how words can be used together. The book shows how collocations can be annotated with lexical functions in a computer readable dictionary - allowing their precise semantic analysis in texts and their effective use in natural language applications including parsers, high quality machine translation, periphrasis system and computer-aided learning of lexica. The books shows how to extract collocations from corpora and annotate them with lexical functions automatically. To train algorithms, the authors created a dictionary of lexical functions containing more than 900 Spanish disambiguated and annotated examples which is a part of this book. The obtained results show that machine learning is feasible to achieve the task of automatic detection of lexical functions.
Author: Wolfgang Minker Publisher: Springer Science & Business Media ISBN: 1461552559 Category : Computers Languages : en Pages : 228
Book Description
Stochastically-Based Semantic Analysis investigates the problem of automatic natural language understanding in a spoken language dialog system. The focus is on the design of a stochastic parser and its evaluation with respect to a conventional rule-based method. Stochastically-Based Semantic Analysis will be of most interest to researchers in artificial intelligence, especially those in natural language processing, computational linguistics, and speech recognition. It will also appeal to practicing engineers who work in the area of interactive speech systems.
Author: Gaol, Ford Lumban Publisher: IGI Global ISBN: 1799803635 Category : Business & Economics Languages : en Pages : 269
Book Description
Because it continually implements entrepreneurial creativity and innovative business models, the economic landscape is ever-changing in today’s globalized world. As consumers become more willing to accept new strategic trends, this has led to the emergence of disruptive technologies. Since this equipment has an insufficient amount of information and high risks, it is necessary to assess the potential of disruptive technologies in the commercial environment. Impact of Disruptive Technologies on the Sharing Economy provides emerging research exploring the theoretical and practical aspects of disruptive technologies and knowledge-based entrepreneurial efforts and applications within management, business, and economics. Featuring coverage on a broad range of topics such as consumer ethics, corporate governance, and insurance issues, this book is ideally designed for IT specialists, IT consultants, software developers, computer engineers, managers, executives, managing directors, students, professors, scientists, professionals, industry practitioners, academicians, and researchers seeking current research on the consequences of disruptive technologies.
Author: Sébastien Harispe Publisher: Morgan & Claypool Publishers ISBN: 1627054472 Category : Computers Languages : en Pages : 256
Book Description
Artificial Intelligence federates numerous scientific fields in the aim of developing machines able to assist human operators performing complex treatments---most of which demand high cognitive skills (e.g. learning or decision processes). Central to this quest is to give machines the ability to estimate the likeness or similarity between things in the way human beings estimate the similarity between stimuli. In this context, this book focuses on semantic measures: approaches designed for comparing semantic entities such as units of language, e.g. words, sentences, or concepts and instances defined into knowledge bases. The aim of these measures is to assess the similarity or relatedness of such semantic entities by taking into account their semantics, i.e. their meaning---intuitively, the words tea and coffee, which both refer to stimulating beverage, will be estimated to be more semantically similar than the words toffee (confection) and coffee, despite that the last pair has a higher syntactic similarity. The two state-of-the-art approaches for estimating and quantifying semantic similarities/relatedness of semantic entities are presented in detail: the first one relies on corpora analysis and is based on Natural Language Processing techniques and semantic models while the second is based on more or less formal, computer-readable and workable forms of knowledge such as semantic networks, thesauri or ontologies. Semantic measures are widely used today to compare units of language, concepts, instances or even resources indexed by them (e.g., documents, genes). They are central elements of a large variety of Natural Language Processing applications and knowledge-based treatments, and have therefore naturally been subject to intensive and interdisciplinary research efforts during last decades. Beyond a simple inventory and categorization of existing measures, the aim of this monograph is to convey novices as well as researchers of these domains toward a better understanding of semantic similarity estimation and more generally semantic measures. To this end, we propose an in-depth characterization of existing proposals by discussing their features, the assumptions on which they are based and empirical results regarding their performance in particular applications. By answering these questions and by providing a detailed discussion on the foundations of semantic measures, our aim is to give the reader key knowledge required to: (i) select the more relevant methods according to a particular usage context, (ii) understand the challenges offered to this field of study, (iii) distinguish room of improvements for state-of-the-art approaches and (iv) stimulate creativity toward the development of new approaches. In this aim, several definitions, theoretical and practical details, as well as concrete applications are presented
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Author: Cliff Goddard
Author: Thomas K. Landauer
Author: Elad Segev
Author: Reinhard Wilhelm
Author: Eivind Kahrs
Author: Eugene A. Nida
Author: Alexander Gelbukh
Author: Wolfgang Minker
Author: Gaol, Ford Lumban
Author: Sébastien Harispe