The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which this work illuminates our understanding of the way in which humans acquire and represent linguistic knowledge. Key Features: combines an introduction to deep learning in AI and NLP with current research on Deep Neural Networks in computational linguistics. is self-contained and suitable for teaching in computer science, AI, and cognitive science courses; it does not assume extensive technical training in these areas. provides a compact guide to work on state of the art systems that are producing a revolution across a range of difficult natural language tasks.

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

In today's unsafe and increasingly wired world cryptology plays a vital role in protecting communication channels, databases, and software from unwanted intruders. This revised and extended third edition of the classic reference work on cryptology now contains many new technical and biographical details. The first part treats secret codes and their uses - cryptography. The second part deals with the process of covertly decrypting a secret code - cryptanalysis, where particular advice on assessing methods is given. The book presupposes only elementary mathematical knowledge. Spiced with a wealth of exciting, amusing, and sometimes personal stories from the history of cryptology, it will also interest general readers.

Cultures in Contact deals with the complex cultural relations surrounding the translation and reception of Alessandro Manzoni's novel I promessi sposi (1827) in nineteenth-century England and a few years later in America. The critical and methodological perspective of this study rests on the most recent developments and final convergence of Translation Studies and Cultural Studies, and considers translation as a privileged locus of exchange and negotiation of values and ideologies. The book analyses the situation of the target and source literatures and cultures at the time of the early translations, focusing on the systemic factors determining the selection of texts for translation. Particular attention has been devoted to the receiving context, considering how and why in England and in America the impact of Manzoni's work was less significant than in France and Germany. A notable intra- and inter-linguistic interdependency of the English and French translations of I promessi sposi developed, and, in this perspective, the influence that the early French and English versions exercised on the definitive edition of I promessi sposi appears today critically relevant.

The growth experienced by Corpus Linguistics over the last two decades has complicated the definition of the discipline. There is at present no consensus as to what corpus linguistics exactly is. Is it a methodology, a theoretical framework, a research paradigm? The goal of this book is multi-purpose. It provides material for a discussion of the notion of "corpus linguistics", an overt discussion of the limits of this discipline and a comparison of some of the main approaches. And at the same time it offers a collection of selected papers representative of a range of approaches and applications associated with corpus research.

This dictionary provides a full and authoritative guide to the meanings of the terms, concepts, and theories employed in pragmatics, the study of language in use.
Pragmatics is a central subject in linguistics and philosophy and an increasingly important topic in fields such as cognitive science, informatics, artificial intelligence, neuroscience, and pathology. Its rapid development has produced new theories, methods, approaches, and schools of thought. These in turn have resulted in a vast vocabulary of new terms and in modified meanings for existing terms. Such terms help advance research and facilitate discussion, but they can also cause confusion and act as barriers to understanding and communication. Yan Huang defines and explains them all, from the most traditional to the most recent. Covering every branch of research and all theoretical approaches and with the needs of students and researchers firmly in mind he writes each entry in the simplest possible terms for the subject in question, gives references to relevant seminal and recent work, provides numerous cross-references to related entries, and shows how each term and concept is applied and used in different contexts.
Written by one of the leading experts in the field, Professor Huang's dictionary, the first of its kind ever published, will be a much valued resource for students and researchers in every aspect of the field.

Information and communication technology (ICT) has dramatically altered the world's social and economic landscape and is now gaining momentum in the realm of language studies. Corpora and ICT in Language Studies attempts to signal and document this phenomenon by bringing together twenty-nine contributions authored by both seasoned researchers and newcomers to the field. The contributions range from more traditional corpus-based or corpus-driven studies to those incorporating ICT as an integral part of their methodology. The volume includes a selection of conference papers given at PALC 2005, the fifth conference in the biennial cycle of meetings organized by the Department of English Language at Lodź University, as well as a number of invited papers. The papers are grouped in three parts: corpora in empirical language studies, cognitive linguistics and e-learning.

This book investigates various aspects of Computer Assisted Language Learning (CALL) that address the challenges arising due to increasing learner and teacher mobility. The chapters deal with two broad areas, i.e. mobile technology for teacher and translator education and technology for mobile language learning. The authors allow for insights into how mobile learning activities can be used in educational settings by providing research on classroom practice. This book aims at helping readers gain a better understanding of the function and implementation of mobile technologies in local classroom contexts to support mobility, professional development, and language and culture learning.

Language, Cognition, and Human Nature collects together for the first time Steven Pinker's most influential scholarly work on language and cognition. Pinker is a highly eminent cognitive scientist, and his research emphasizes the importance of language and its connections to cognition, social relationships, child development, human evolution, and theories of human nature. The thirteen essays in this eclectic collection span Pinker's thirty-year career, ranging over topics such as language acquisitions, visual cognition, the meaning and syntax of verbs, regular and irregular phenomena in language and their implications for the mechanisms of cognition, and the social psychology of direct and indirect speech. Each outlines a major theory - such as evolution, or nature vs. nurture - or takes up an argument with other prominent scholars such as Stephen Jay Gould, Noam Chomsky, or Richard Dawkins. Featuring a new introduction by Pinker that discusses his books and scholarly work, this book represents a major contribution to the field of cognitive science, by one of the field's leading thinkers.

Corpus linguistics is one of the most exciting approaches tostudies in applied linguistics today. From its quantitative beginnings it hasgrown to become an essential aspect of research methodology in a range offields, often combining with text analysis, CDA, pragmatics and organizationalstudies to reveal important new insights about how language works. This important new book of specially commissioned chapters byacademics from across the applied linguistics spectrum demonstrates the range andrigour of corpus research in applied linguistics. The volume captures some ofthe most stimulating and significant developments in the field, includingchapters on language teaching, institutional and professional discourse, English as an International Language, translation, forensics and media studies. As a result it goes beyond traditional, limited presentations of corpuswork and shows how corpora inform a diverse and growing number of appliedlinguistic domains.

The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks, cloud-based systems (e.g., Salesforce), databases (e.g., Oracle), AWS machine learning (e.g., Amazon Lex), and creating infrastructure that has the ability to adapt in real-time to changes and learn what to anticipate in the future. It is an area of technology that is coming faster and penetrating more areas of business than any other in our history. AI will be used from the C-suite to the distribution warehouse floor. Replete with case studies, this book provides a working knowledge of AI's current and future capabilities and the impact it will have on every business. It covers everything from healthcare to warehousing, banking, finance and education. It is essential reading for anyone involved in industry.

"Empirical Methods in Language Studies" presents 22 papers employing a broad range of empirical methods in the analysis of various aspects of language and communication. The individual texts offer contributions to the description of conceptual strategies, syntax, semantics, non-verbal communication, language learning, discourse, and literature.

The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult for nonspecialists to keep up to date in the field. Providing a broad, accessible treatment of the theory as well as linguistic applications, Semisupervised Learning for Computational Linguistics offers self-contained coverage of semisupervised methods that includes background material on supervised and unsupervised learning. The book presents a brief history of semisupervised learning and its place in the spectrum of learning methods before moving on to discuss well-known natural language processing methods, such as self-training and co-training. It then centers on machine learning techniques, including the boundary-oriented methods of perceptrons, boosting, support vector machines (SVMs), and the null-category noise model. In addition, the book covers clustering, the expectation-maximization (EM) algorithm, related generative methods, and agreement methods. It concludes with the graph-based method of label propagation as well as a detailed discussion of spectral methods. Taking an intuitive approach to the material, this lucid book facilitates the application of semisupervised learning methods to natural language processing and provides the framework and motivation for a more systematic study of machine learning.

Peer reviewed articles from the Natural Language Processing and Cognitive Science (NLPCS) 2014 meeting in October 2014 workshop. The meeting fosters interactions among researchers and practitioners in NLP by taking a Cognitive Science perspective. Articles cover topics such as artificial intelligence, computational linguistics, psycholinguistics, cognitive psychology and language learning.

What led Shakespeare to write his most cryptic poem, 'The Phoenix and Turtle'? Could the Phoenix represent Queen Elizabeth, on the verge of death as Shakespeare wrote? Is the Earl of Essex, recently executed for treason, the Turtledove lover of the Phoenix? Questions such as these dominate scholarship of both Shakespeare's poem and the book in which it first appeared: Robert Chester's enigmatic collection of verse, Love's Martyr (1601), where Shakespeare's allegory sits next to erotic love lyrics by Ben Jonson, George Chapman and John Marston, as well as work by the much lesser-known Chester. Don Rodrigues critiques and revises traditional computational attribution studies by integrating the insights of queer theory to a study of Love's Martyr. A book deeply engaged in current debates in computational literary studies, it is particularly attuned to questions of non-normativity, deviation and departures from style when assessing stylistic patterns. Gathering insights from decades of computational and traditional analyses, it presents, most radically, data that supports the once-outlandish theory that Shakespeare may have had a significant hand in editing works signed by Chester. At the same time, this book insists on the fundamentally collaborative nature of production in Love's Martyr. Developing a compelling account of how collaborative textual production could work among early modern writers, Shakespeare's Queer Analytics is a much-needed methodological intervention in computational attribution studies. It articulates what Rodrigues describes as 'queer analytics': an approach to literary analysis that joins the non-normative close reading of queer theory to the distant attention of computational literary studies - highlighting patterns that traditional readings often overlook or ignore.

This volume unpacks an intriguing challenge for the field of media research: combining media research with the study of complex networks. Bringing together research on the small-world idea and digital culture it questions the assumption that we are separated from any other person on the planet by just a few steps, and that this distance decreases within digital social networks. The book argues that the role of languages is decisive to understand how people connect, and it looks at the consequences this has on the ways knowledge spreads digitally. This volume offers a first conceptual venue to analyse emerging phenomena at the innovative intersection of media and complex network research.

The volume contains 15 papers by linguists from seven different European countries. The papers offer insights into the research results of a number of recent studies conducted in the field of applied linguistics covering topics such as specialized communication, foreign language teaching, terminology problems and the like. Dieser Band enthalt 15 Beitrage von 24 Sprachwissenschaftlern aus sieben europaischen Landern. In den Beitragen werden die neueren Forschungsergebnisse auf dem Gebiet der Angewandten Linguistik veroeffentlicht, in denen es unter anderem um die Themen Fachkommunikation, Fremdsprachenlernen und Terminologiefragen geht.

This book serves as a starting point for Semantic Web (SW) students and researchers interested in discovering what Natural Language Processing (NLP) has to offer. NLP can effectively help uncover the large portions of data held as unstructured text in natural language, thus augmenting the real content of the Semantic Web in a significant and lasting way. The book covers the basics of NLP, with a focus on Natural Language Understanding (NLU), referring to semantic processing, information extraction and knowledge acquisition, which are seen as the key links between the SW and NLP communities. Major emphasis is placed on mining sentences in search of entities and relations. In the course of this "quest", challenges will be encountered for various text analysis tasks, including part-of-speech tagging, parsing, semantic disambiguation, named entity recognition and relation extraction. Standard algorithms associated with these tasks are presented to provide an understanding of the fundamental concepts. Furthermore, the importance of experimental design and result analysis is emphasized, and accordingly, most chapters include small experiments on corpus data with quantitative and qualitative analysis of the results. This book is divided into four parts. Part I "Searching for Entities in Text" is dedicated to the search for entities in textual data. Next, Part II "Working with Corpora" investigates corpora as valuable resources for NLP work. In turn, Part III "Semantic Grounding and Relatedness" focuses on the process of linking surface forms found in text to entities in resources. Finally, Part IV "Knowledge Acquisition" delves into the world of relations and relation extraction. The book also includes three appendices: "A Look into the Semantic Web" gives a brief overview of the Semantic Web and is intended to bring readers less familiar with the Semantic Web up to speed, so that they too can fully benefit from the material of this book. "NLP Tools and Platforms" provides information about NLP platforms and tools, while "Relation Lists" gathers lists of relations under different categories, showing how relations can be varied and serve different purposes. And finally, the book includes a glossary of over 200 terms commonly used in NLP. The book offers a valuable resource for graduate students specializing in SW technologies and professionals looking for new tools to improve the applicability of SW techniques in everyday life - or, in short, everyone looking to learn about NLP in order to expand his or her horizons. It provides a wealth of information for readers new to both fields, helping them understand the underlying principles and the challenges they may encounter.

The papers compiled in the present volume reflect the key theme of the most recent Duo Colloquium sessions – contextuality. The psychological notion of context has been central to translation research for decades, and it has evolved along with the development of translational thought, translation types and tools. The theme of contextuality can be understood at any level, from the geopolitical to the textual, and embraced by both academic and professional considerations of translational and interpreting phenomena. It is centred on context, contexts and/or decontextualisation in translation and interpreting theory and practice from a variety of disciplinary, interdisciplinary and transdisciplinary perspectives. Discussing the above-mentioned notions is the subject of the present volume.

This readable introductory textbook presents a concise survey of corpus linguistics. The first section of the book introduces the key concepts in corpus linguistics and provides a brief history of the discipline. The second section expands the study of language and shows how corpus linguistics can advance our study of words and meaning, the benefits of studying the corpora, and how meaning can best be conceptualised. Explaining corpus linguistics in easy to understand terms, and including a glossary and suggestions for further reading, this book will be useful to students trying to get a grasp on this subject.

The book will appeal to scholars and advanced students of morphology, syntax, computational linguistics and natural language processing (NLP). It provides a critical and practical guide to computational techniques for handling morphological and syntactic phenomena, showing how these techniques have been used and modified in practice.
The authors discuss the nature and uses of syntactic parsers and examine the problems and opportunities of parsing algorithms for finite-state, context-free and various context-sensitive grammars. They relate approaches for describing syntax and morphology to formal mechanisms and algorithms, and present well-motivated approaches for augmenting grammars with weights or probabilities.

This book delineates a range of linguistic features that characterise the reading texts used at the B2 (Independent User) and C1 (Proficient User) levels of the Greek State Certificate of English Language Proficiency exams in order to help define text difficulty per level of competence. In addition, it examines whether specific reader variables influence test takers' perceptions of reading comprehension difficulty. The end product is a Text Classification Profile per level of competence and a formula for automatically estimating text difficulty and assigning levels to texts consistently and reliably in accordance with the purposes of the exam and its candidature-specific characteristics.

This volume contains papers which reflect current discussions in the study of speech actions. The collection was inspired by the papers presented at Meaning, Context and Cognition, the first international conference integrating cognitive linguistics and pragmatics initiated by the Department of English Language and Applied Linguistics of the University of Lodz (Poland) in 2011 and held annually. The necessarily heterogeneous field of research into speech actions is approached by the contributors from various perspectives and with focus on different types of data. The papers have been grouped into four sections which subsequently emphasise theoretical linguistics issues, lexical pragmatics, speech act-theoretic problems, and cognitive processes.

This groundbreaking book offers a new and compelling perspective on the structure of human language. The fundamental issue it addresses is the proper balance between syntax and semantics, between structure and derivation, and between rule systems and lexicon. It argues that the balance struck by mainstream generative grammar is wrong. It puts forward a new basis for syntactic theory, drawing on a wide range of frameworks, and charts new directions for research. In the past four decades, theories of syntactic structure have become more abstract, and syntactic derivations have become ever more complex. Peter Culicover and Ray Jackendoff trace this development through the history of contemporary syntactic theory, showing how much it has been driven by theory-internal rather than empirical considerations. They develop an alternative that is responsive to linguistic, cognitive, computational, and biological concerns. Simpler Syntax is addressed to linguists of all persuasions. It will also be of central interest to those concerned with language in psychology, human biology, evolution, computational science, and artificial intelligence.

The volume discusses a multitude of ways in which CALL can serve to develop and support broadly conceived issues-of background in language education. The individual chapters explore a number of areas in which CALL techniques and tools enhance language instruction. The issues reported on comprise working with mature language learners, developing civic education, ICT affordances for ESP, professional training for translators, interpreters and crowdsourcing opportunities. Other contributions center around CALL-related resources, CAPT metacompetence and blended-learning paradigms as well as exploring cultural and linguistic issues in online exchanges.