DTP kreativ ist eine Fundgrube fur Graphikdesigner und Layouter, die mit QuarkXPress oder Adobe PageMaker erstellte Anzeigen, Zeitschriften oder Bucher schnell und effizient aufwerten wollen. Ausfuhrliche step-by-step-Anleitungen und zahlreiche Tips & Tricks zeigen, wie ausgefallene Layoutelemente und erstaunliche Effekte mit Graphik- und Bildbearbeitungsprogrammen gestaltet und in das Layout integriert werden.
Die meisten der gezeigten Beispiele lassen sich sowohl auf Macintosh-Systemen als auch auf Windows-Rechnern realisieren und setzen nur minimale Grundkenntnisse voraus in:
Adobe Dimensions, Adobe Illustrator, Adobe Photoshop, Fractal Design Painter, Macromedia FreeHand."

This book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-/disinformation in digital media content, and suggests practical means to intervene and curtail this current global 'infodemic'. This interdisciplinary book explores technological, psychological, philosophical, and linguistic insights into the nature of truth and deception, trust and credibility, cognitive biases and logical fallacies and how, through AI and human intervention, content users can be alerted to the presence of deception. The author investigates how AI can mimic the procedures and know-hows of humans, showing how AI can help spot fakes and how AI tools can work to debunk rumors and fact-check. The book describes how AI detection systems work and how they fit with broader societal and individual concerns. Each chapter focuses attention on key concepts and their inter-connection. The first part of the book seeks theoretical footing to understand our interactions with new information and reviews relevant empirical findings in behavioral sciences. The second part is about applied knowledge. The author looks at several known practices that guard us against deception, and provides several real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations. She provides links to the downloadable executable files to three AI applications (clickbait, satire, and falsehood detectors) via LiT.RL GitHub, an open access repository. The book is useful to students and professionals studying AI and media studies as well as library and information professionals. Examines how artificial intelligence (AI) and psychology can aid in detecting mis-/disinformation and the language of deceit in digital media content; Suggests practical computational means to intervene and curtail the global 'infodemic' of fake news; Presents how AI can sift, sort, and shuffle digital content, to reduce the amount of content needed to be reviewed by humans.

Potentiality, Entanglement and Passion-at-a-Distance is a book for theoretical physicists and philosophers of modern physics. It treats a puzzling and provocative aspect of recent quantum physics: the apparent interaction of certain physical events that cannot share any causal connection. These are said to be entangled' in some way, but an explanation remains elusive. Abner Shimony - to whom the book is dedicated - and others suggest the need to revive the category of what may be seen as a metaphysical potentiality. Abner has described these events without actions to link them as passion at a distance': not active, but passive. The discussions gathered here are written by a truly remarkable cast of scientists and philosophers and shed new light on the most profound puzzles of our times.

The Information Management Systems group at the University of Padua has been a major contributor to information retrieval (IR) and digital libraries. The papers in this book include coverage of automated text categorizations, web link analysis algorithms, retrieval in multimedia digital libraries, and multilingual information retrieval. The text will appeal to institutions and companies working on search engines and information retrieval algorithms.

Wikis sind webbasierte Anwendungen, die es allen Nutzern ermAglichen, Seiten nicht nur zu betrachten, sondern auch zu Andern. Angeregt durch die Internet-EnzyklopAdie Wikipedia entdecken immer mehr private Nutzer und Kleinorganisationen, aber auch Unternehmen die vielfAltigen AnwendungsmAglichkeiten von Wikis. Durch einfachen Aufbau und unkomplizierte Bedienung stellen sie eine ernstzunehmende Alternative zu teuren Content-Management-Systemen dar und bilden die Grundlage fA1/4r eine FA1/4lle von Anwendungen im Bereich der kooperativen Arbeit.

Das Buch beschreibt den praktischen Einsatz von Wikis zur DurchfA1/4hrung von Projekten sowohl fA1/4r Anwender als auch fA1/4r Betreiber. Dies umfasst eine schrittweise EinfA1/4hrung in die Philosophie und Funktionsweise, einen Aoeberblick A1/4ber Bedienelemente und Komponenten sowie die Installation und Konfiguration der Wiki-Klone MediaWiki, TWiki und Confluence-Wiki. Am Beispiel einer Konferenzplanung werden die EinsatzmAglichkeiten der Software als Projekttool dargestellt.

This book investigates the nature of generalization in language and examines how language is known by adults and acquired by children. It looks at how and why constructions are learned, the relation between their forms and functions, and how cross-linguistic and language-internal generalizations about them can be explained.
Constructions at Work is divided into three parts: in the first Professor Goldberg provides an overview of constructionist approaches, including the constructionist approach to argument structure, and argues for a usage-based model of grammar. In Part II she addresses issues concerning how generalizations are constrained and constructional generalizations are learned. In Part III the author shows that a combination of function and processing accounts for a wide range of language-internal and cross-linguistic generalizations. She then considers the degree to which the function of constructions explains their distribution and examines cross-linguistic tendencies in argument realization. She demonstrates that pragmatic and cognitive processes account for the data without appeal to stipulations that are language-specific.
This book is an important contribution to the study of how language operates in the mind and in the world and how these operations relate. It is of central interest for scholars and graduate-level students in all branches of theoretical linguistics and psycholinguistics. It will also appeal to cognitive scientists and philosophers concerned with language and its acquisition.

Create your own natural language training corpus for machine learning. Whether you're working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle--the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don't need any programming or linguistics experience to get started.

Using detailed examples at every step, you'll learn how the "MATTER Annotation Development Process" helps you Model, Annotate, Train, Test, Evaluate, and Revise your training corpus. You also get a complete walkthrough of a real-world annotation project.Define a clear annotation goal before collecting your dataset (corpus)Learn tools for analyzing the linguistic content of your corpusBuild a model and specification for your annotation projectExamine the different annotation formats, from basic XML to the Linguistic Annotation FrameworkCreate a gold standard corpus that can be used to train and test ML algorithmsSelect the ML algorithms that will process your annotated dataEvaluate the test results and revise your annotation taskLearn how to use lightweight software for annotating texts and adjudicating the annotations

This book is a perfect companion to O'Reilly's "Natural Language Processing with Python."

This white paper is part of a series that promotes knowledge about language technology and its potential. It addresses educators, journalists, politicians, language communities and others. The availability and use of language technology in Europe varies between languages. Consequently, the actions that are required to further support research and development of language technologies also differ for each language. The required actions depend on many factors, such as the complexity of a given language and the size of its community. META-NET, a Network of Excellence funded by the European Commission, has conducted an analysis of current language resources and technologies. This analysis focused on the 23 official European languages as well as other important national and regional languages in Europe. The results of this analysis suggest that there are many significant research gaps for each language. A more detailed expert analysis and assessment of the current situation will help maximise the impact of additional research and minimize any risks. META-NET consists of 54 research centres from 33 countries that are working with stakeholders from commercial businesses, government agencies, industry, research organisations, software companies, technology providers and European universities. Together, they are creating a common technology vision while developing a strategic research agenda that shows how language technology applications can address any research gaps by 2020.

This publication explores how natural language processing (NLP) techniques can be applied to social media text data to map public sentiment and inform development research and policy making. The publication introduces the foundations of natural language analyses and showcases studies that have applied NLP techniques to make progress on the Sustainable Development Goals. It also reviews specific NLP techniques and concepts, supported by two case studies. The first case study analyzes public sentiments on the coronavirus disease (COVID-19) in the Philippines while the second case study explores the public debate on climate change in Australia.

This white paper is part of a series that promotes knowledge about language technology and its potential. It addresses educators, journalists, politicians, language communities and others. The availability and use of language technology in Europe varies between languages. Consequently, the actions that are required to further support research and development of language technologies also differ for each language. The required actions depend on many factors, such as the complexity of a given language and the size of its community. META-NET, a Network of Excellence funded by the European Commission, has conducted an analysis of current language resources and technologies. This analysis focused on the 23 official European languages as well as other important national and regional languages in Europe. The results of this analysis suggest that there are many significant research gaps for each language. A more detailed expert analysis and assessment of the current situation will help maximise the impact of additional research and minimize any risks. META-NET consists of 54 research centres from 33 countries that are working with stakeholders from commercial businesses, government agencies, industry, research organisations, software companies, technology providers and European universities. Together, they are creating a common technology vision while developing a strategic research agenda that shows how language technology applications can address any research gaps by 2020.

This white paper is part of a series that promotes knowledge about language technology and its potential. It addresses educators, journalists, politicians, language communities and others. The availability and use of language technology in Europe varies between languages. Consequently, the actions that are required to further support research and development of language technologies also differ for each language. The required actions depend on many factors, such as the complexity of a given language and the size of its community. META-NET, a Network of Excellence funded by the European Commission, has conducted an analysis of current language resources and technologies. This analysis focused on the 23 official European languages as well as other important national and regional languages in Europe. The results of this analysis suggest that there are many significant research gaps for each language. A more detailed expert analysis and assessment of the current situation will help maximise the impact of additional research and minimize any risks. META-NET consists of 54 research centres from 33 countries that are working with stakeholders from commercial businesses, government agencies, industry, research organisations, software companies, technology providers and European universities. Together, they are creating a common technology vision while developing a strategic research agenda that shows how language technology applications can address any research gaps by 2020.

Learn how to solve practical NLP problems with the Flair Python framework, train sequence labeling models, work with text classifiers and word embeddings, and much more through hands-on practical exercises Key Features Backed by the community and written by an NLP expert Get an understanding of basic NLP problems and terminology Solve real-world NLP problems with Flair with the help of practical hands-on exercises Book DescriptionFlair is an easy-to-understand natural language processing (NLP) framework designed to facilitate training and distribution of state-of-the-art NLP models for named entity recognition, part-of-speech tagging, and text classification. Flair is also a text embedding library for combining different types of embeddings, such as document embeddings, Transformer embeddings, and the proposed Flair embeddings. Natural Language Processing with Flair takes a hands-on approach to explaining and solving real-world NLP problems. You'll begin by installing Flair and learning about the basic NLP concepts and terminology. You will explore Flair's extensive features, such as sequence tagging, text classification, and word embeddings, through practical exercises. As you advance, you will train your own sequence labeling and text classification models and learn how to use hyperparameter tuning in order to choose the right training parameters. You will learn about the idea behind one-shot and few-shot learning through a novel text classification technique TARS. Finally, you will solve several real-world NLP problems through hands-on exercises, as well as learn how to deploy Flair models to production. By the end of this Flair book, you'll have developed a thorough understanding of typical NLP problems and you'll be able to solve them with Flair. What you will learn Gain an understanding of core NLP terminology and concepts Get to grips with the capabilities of the Flair NLP framework Find out how to use Flair's state-of-the-art pre-built models Build custom sequence labeling models, embeddings, and classifiers Learn about a novel text classification technique called TARS Discover how to build applications with Flair and how to deploy them to production Who this book is forThis Flair NLP book is for anyone who wants to learn about NLP through one of the most beginner-friendly, yet powerful Python NLP libraries out there. Software engineering students, developers, data scientists, and anyone who is transitioning into NLP and is interested in learning about practical approaches to solving problems with Flair will find this book useful. The book, however, is not recommended for readers aiming to get an in-depth theoretical understanding of the mathematics behind NLP. Beginner-level knowledge of Python programming is required to get the most out of this book.

Lernen mit elektronischen Dokumenten wird immer wichtiger. Der entscheidende Vorteil des Mediums Computer ist die MAglichkeit, dynamische Dokumente zu erzeugen. Diese Dynamik kann zum einen in den einzelnen Inhalten liegen (Animationen, Simulationen) oder in der Erstellung der Dokumente (adaptive Anpassung an die einzelnen Benutzer/innen). Die Lerndokumente liegen dafA1/4r in Modulen, nicht als ein groAes Dokument vor. Um diese Vorteile nutzen zu kAnnen, mA1/4ssen die Module beschrieben sein. Das Buch bietet ein Beschreibungsschema, mit dem aus einer Wissensbasis von unzusammenhAngenden Modulen ein gut lesbares und auf die BedA1/4rfnisse der einzelnen Leser/innen angepasstes webbasiertes Dokument erstellt werden kann.

Social media platforms are one of the main generators of textual data where people around the world share their daily life experiences and information with online society. The social, personal, and professional lives of people on these social networking sites generate not only a huge amount of data but also open doors for researchers and academicians with numerous research opportunities. This ample amount of data needs advanced machine learning, deep learning, and intelligent tools and techniques to receive, process, and interpret the information to resolve real-life challenges and improve the online social lives of people. Advanced Applications of NLP and Deep Learning in Social Media Data bridges the gap between natural language processing (NLP), advanced machine learning, deep learning, and online social media. It hopes to build a better and safer social media space by making human language available on different social media platforms intelligible for machines with the blessings of AI. Covering topics such as machine learning-based prediction, emotion recognition, and high-dimensional text clustering, this premier reference source is an essential resource for OSN service providers, psychiatrists, psychologists, clinicians, sociologists, students and educators of higher education, librarians, researchers, and academicians.

Die zentrale Aufgabe einer zukunftsorientierten Computerlinguistik ist die Entwicklung kognitiver Maschinen, mit denen Menschen in ihrer jeweiligen Sprache frei reden kAnnen. Langfristig umfaAt diese Zielsetzung eine funktional ausgerichtete Theoriebildung, eine objektive Verifikationsmethode und eine FA1/4lle praktischer Anwendungen.
FA1/4r die natA1/4rlichsprachliche Kommunikation wird nicht nur Sprachverarbeitung, sondern auch nichtsprachliche Wahrnehmung und Handlung benAtigt. Deshalb ist der Inhalt dieses Lehrbuchs als Sprachtheorie fA1/4r die Konstruktion sprechender Roboter organisiert. Sein zentrales Thema ist die Kommunikationsmechanik natA1/4rlicher Sprachen - beim Sprecher und beim HArer. Der Inhalt ist in folgende vier Teile mit je sechs Kapiteln gegliedert: Sprachtheorie; Formale Grammatik; Morphologie und Syntax; Semantik und Pragmatik. Insgesamt 772 Aoebungsaufgaben dienen der VerstAndniskontrolle und -vertiefung.

Das aktuelle Wissen der Welt im Spiegel einer Weltausstellung: Wie stellt man das dar und wie macht man es Interessierten zugAnglich - in der Ausstellung, in Publikationen, im Funk und A1/4ber das Internet? Was man alles auf einer Weltausstellung an der Schwelle zum dritten Jahrtausend sehen und erfahren kann, sprengt in FA1/4lle und Vielfalt jeden individuell faAbaren Rahmen. Schmitz-Esser zeigt in seinem Buch, wie der Besucher wahlweise in vier Sprachen die Weltausstellung erleben und die Quintessenz davon mitnehmen kann. ErmAglicht wird dies durch das Konzept des virtuellen "Wissens in der Kapsel," das so aufbereitet ist, daA es in allen gAngigen medialen Formen und fA1/4r unterschiedlichste Wege der Aneignung eingesetzt werden kann. Die LAsung ist nicht nur eine Sache der Informatik und Informationstechnologie, sondern vielmehr auch eine Herausforderung an Informationswissenschaft und Computerlinguistik. Das Buch stellt Ziel, Ansatz, Komponenten und Voraussetzungen dafA1/4r dar.

Das Buch bietet eine kompakte Einfuhrung in die Grundlagen und Techniken des UEbersetzerbaus. UEbersetzer transformieren Texte einer Quellsprache, deren Struktur durch eine formale Grammatik beschrieben ist, in eine Zielsprache. Die UEbersetzung imperativer Programmiersprachen in Maschinensprache ist dabei nur ein Spezialfall. Dieses Lehrbuch betont die vielseitige Verwendbarkeit von UEbersetzerbau-Techniken. Insbesondere kann man mit Methoden der Syntaxanalyse Strukturen in Texten, Dateien oder Byte-Stroemen identifizieren. Ein weiterer Schwerpunkt liegt in der Verbindung von Theorie und Praxis und der Einubung der Benutzung von Werkzeugen wie Lex und Yacc. So wird u.a. die vollstandige Implementierung eines UEbersetzers einer einfachen Dokument-Beschreibungssprache nach LaTeX vorgefuhrt. Angemessen berucksichtigt wird auch die Implementierung imperativer und funktionaler Sprachen. Das didaktisch ansprechende Buch enthalt UEbungsaufgaben mit Loesungen und ist auch zum Selbststudium geeignet.

Empirical translation studies is a rapidly evolving research area. This volume, written by world-leading researchers, demonstrates the integration of two new research paradigms: socially-oriented and data driven approaches to empirical translation studies. These two models expand current translation studies and stimulate reader debates around how development of quantitative research methods and integration with advances in translation technologies would significantly increase the research capacities of translation studies. Highly engaging, the volume pioneers the development of socially-oriented innovative research methods to enhance the current research capacities of theoretical (descriptive) translation studies in order to tackle real-life research issues, such as environmental protection and multicultural health promotion. Illustrative case studies are used, bringing insight into advanced research methodologies of designing, developing and analysing large scale digital databases for multilingual and/or translation research.

Wer professionelle Multimedia-Anwendungen entwickelt, muss vielfaltige organisatorische, gestalterische, technische und juristische Aspekte berucksichtigen. Der Leitfaden liefert Ihnen Schritt fur Schritt das notwendige Know-how von der Konzeption bis zur Realisierung. Praktische Tips, Checklisten, Tabellen, Kalkulationshilfen und Produktionsablaufplane unterstutzen Sie beim effizienten Projektmanagement.