Recent decades have seen a fundamental change and transformation in the commercialisation and popularisation of sports and sporting events. Corpus Approaches to the Language of Sports uses corpus resources to offer new perspectives on the language and discourse of this increasingly popular and culturally significant area of research. Bringing together a range of empirical studies from leading scholars, this book bridges the gap between quantitative corpus approaches and more qualitative, multimodal discourse methods. Covering a wide range of sports, including football, cycling and basketball, the linguistic aspects of sports language are analysed across different genres and contexts. Highlighting the importance of studying the language of sports alongside its accompanying audio-visual modes of communication, chapters draw on new digitised collections of language to fully describe and understand the complexities of communication through various channels. In doing so, Corpus Approaches to the Language of Sports not only offers exciting new insights into the language of sports but also extends the scope of corpus linguistics beyond traditional monomodal approaches to put multimodality firmly on the agenda.

Seit dem Entstehen der modernen Textlinguistik in den 1960er Jahren ist eine Vielzahl z.T. hoch spezialisierter Analyseansatze in diesem Bereich entwickelt worden, die auch in diversen Einfuhrungen schon aufbereitet worden sind. Anliegen dieses Arbeitsheftes ist es, Grundlagen linguistischer Textanalyse vorzustellen, wie sie insbesondere Studierende philologischer Facher bei der Analyse literarischer und anspruchsvoller Sachtexte benotigen. Textlinguistik wird dabei nicht als eine Sonderdisziplin der Sprachwissenschaft aufgefasst, die sich nur mit der "obersten" Beschreibungsebene befasst, sondern im Sinne der von Peter Hartmann konzipierten "verwendungsorientierten Sprachwissenschaft." Besonderer Wert wird darauf gelegt, die "neue" Textlinguistik auch in die Tradition fruherer Bemuhungen um den Gegenstand einzuordnen (Rhetorik, Hermeneutik, Literaturwissenschaft, vorstrukturalistische Grammatik). Das Schwergewicht der Darstellung liegt auf der mit vielen Beispielen angereicherten Erlauterung der vier zentralen Beschreibungsdimensionen: situativer Kontext, Funktion, Thema, sprachliche Gestalt. Hier werden nicht nur die den Textzusammenhalt gewahrleistenden Kohasionsmittel besprochen, sondern die Gesamtheit der sprachlichen Mittel, v.a. auf der Ebene von Lexik und Grammatik. Ziel ist es, die Verbindung zwischen Variationslinguistik und Textlinguistik zu verdeutlichen: Zu den Aufgaben der letzteren gehort es, die Soll- und Ist-Normen von Varietaten und Textsorten zu beschreiben."

From tech giants to plucky startups, the world is full of companies boasting that they are on their way to replacing human interpreters, but are they right? Interpreters vs Machines offers a solid introduction to recent theory and research on human and machine interpreting, and then invites the reader to explore the future of interpreting. With a foreword by Dr Henry Liu, the 13th International Federation of Translators (FIT) President, and written by consultant interpreter and researcher Jonathan Downie, this book offers a unique combination of research and practical insight into the field of interpreting. Written in an innovative, accessible style with humorous touches and real-life case studies, this book is structured around the metaphor of playing and winning a computer game. It takes interpreters of all experience levels on a journey to better understand their own work, learn how computers attempt to interpret and explore possible futures for human interpreters. With five levels and split into 14 chapters, Interpreters vs Machines is key reading for all professional interpreters as well as students and researchers of Interpreting and Translation Studies, and those with an interest in machine interpreting.

Event structures are central in Linguistics and Artificial Intelligence research: people can easily refer to changes in the world, identify their participants, distinguish relevant information, and have expectations of what can happen next. Part of this process is based on mechanisms similar to narratives, which are at the heart of information sharing. But it remains difficult to automatically detect events or automatically construct stories from such event representations. This book explores how to handle today's massive news streams and provides multidimensional, multimodal, and distributed approaches, like automated deep learning, to capture events and narrative structures involved in a 'story'. This overview of the current state-of-the-art on event extraction, temporal and casual relations, and storyline extraction aims to establish a new multidisciplinary research community with a common terminology and research agenda. Graduate students and researchers in natural language processing, computational linguistics, and media studies will benefit from this book.

In the not so distant future, we can expect a world where humans and robots coexist and interact with each other. For this to occur, we need to understand human traits, such as seeing, hearing, thinking, speaking, etc., and institute these traits in robots. The most essential feature necessary for robots to achieve is that of integrative multimedia understanding (IMU) which occurs naturally in humans. It allows us to assimilate pieces of information expressed through different modes such as speech, pictures, gestures, etc. The book describes how robots acquire traits like natural language understanding (NLU) as the central part of IMU. Mental image directed semantic theory (MIDST) is its core, and is based on the hypothesis that NLU is essentially the processing of mental image associated with natural language expressions, namely, mental-image based understanding (MBU). MIDST is intended to model omnisensory mental image in human and to afford a knowledge representation system in order for integrative management of knowledge subjective to cognitive mechanisms of intelligent entities such as humans and robots based on a mental image model visualized as 'Loci in Attribute Spaces' and its description language Lmd (mental image description language) to be employed for predicate logic with a systematic scheme for symbol-grounding. This language works as an interlingua among various kinds of information media, and has been applied to several versions of the intelligent system interlingual understanding model aiming at general system (IMAGES). Its latest version, i.e. conversation management system (CMS) simulates MBU and comprehends the user's intention through dialogue to find and solve problems, and finally, provides a response in text or animation. The book is aimed at researchers and students interested in artificial intelligence, robotics, and cognitive science. Based on philosophical considerations, the methodology will also have an appeal in linguistics, psychology, ontology, geography, and cartography. Key Features: Describes the methodology to provide robots with human-like capability of natural language understanding (NLU) as the central part of IMU Uses methodology that also relates to linguistics, psychology, ontology, geography, and cartography Examines current trends in machine translation

Stress and accent are central, organizing features of grammar, but their precise nature continues to be a source of mystery and wonder. These issues come to the forefront in acquisition, where the tension between the abstract mental representations and the concrete physical manifestations of stress and accent is deeply reflected. Understanding the nature of the representations of stress and accent patterns, and understanding how stress and accent patterns are learned, informs all aspects of linguistic theory and language acquisition. These two themes - representation and acquisition - form the organizational backbone of this book. Each is addressed along different dimensions of stress and accent, including the position of an accent or stress within various prosodic domains and the acoustic dimensions along which the pronunciation of stress and accent may vary. The research presented in the book is multidisciplinary, encompassing theoretical linguistics, speech science, and computational and experimental research.

Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.

This book reviews ways to improve statistical machine speech translation between Polish and English. Research has been conducted mostly on dictionary-based, rule-based, and syntax-based, machine translation techniques. Most popular methodologies and tools are not well-suited for the Polish language and therefore require adaptation, and language resources are lacking in parallel and monolingual data. The main objective of this volume to develop an automatic and robust Polish-to-English translation system to meet specific translation requirements and to develop bilingual textual resources by mining comparable corpora.

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 handbook explores multiple facets of the study of word classes, also known as parts of speech or lexical categories. These categories are of fundamental importance to linguistic theory and description, both formal and functional, and for both language-internal analyses and cross-linguistic comparison. The volume consists of five parts that investigate word classes from different angles. Chapters in the first part address a range of fundamental issues including diversity and unity in word classes around the world, categorization at different levels of structure, the distinction between lexical and functional words, and hybrid categories. Part II examines the treatment of word classes across a wide range of contemporary linguistic theories, such as Cognitive Grammar, Minimalist Syntax, and Lexical Functional Grammar, while the focus of Part III is on individual word classes, from major categories such as verb and noun to minor ones such as adpositions and ideophones. Part IV provides a number of cross-linguistic case studies, exploring word classes in families including Afroasiatic, Sinitic, Mayan, Austronesian, and in sign languages. Chapters in the final part of the book discuss word classes from the perspective of various sub-disciplines of linguistics, ranging from first and second language acquisition to computational and corpus linguistics. Together, the contributions showcase the importance of word classes for the whole discipline of linguistics, while also highlighting the many ongoing debates in the areas and outlining fruitful avenues for future research.

This textbook approaches second language acquisition from the perspective of generative linguistics. Roumyana Slabakova reviews and discusses paradigms and findings from the last thirty years of research in the field, focussing in particular on how the second or additional language is represented in the mind and how it is used in communication. The adoption and analysis of a specific model of acquisition, the Bottleneck Hypothesis, provides a unifying perspective. The book assumes some non-technical knowledge of linguistics, but important concepts are clearly introduced and defined throughout, making it a valuable resource not only for undergraduate and graduate students of linguistics, but also for researchers in cognitive science and language teachers.

The Lexicon provides an introduction to the study of words, their main properties, and how we use them to create meaning. It offers a detailed description of the organizing principles of the lexicon, and of the categories used to classify a wide range of lexical phenomena, including polysemy, meaning variation in composition, and the interplay with ontology, syntax, and pragmatics. Elisabetta Jezek uses empirical data from digitalized corpora and speakers' judgements, combined with the formalisms developed in the field of general and theoretical linguistics, to propose representations for each of these phenomena. The key feature of the book is that it merges theoretical accounts with lexicographic approaches and computational insights. Its clear structure and accessible approach make The Lexicon an ideal textbook for all students of linguistics-theoretical, applied, and computational-and a valuable resource for scholars and students of language in the fields of cognitive science and philosophy.

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.

The content of this textbook is organized as a theory of language for the construction of talking robots. The main topic is the mechanism of natural language communication in both the speaker and the hearer. In the third edition the author has modernized the text, leaving the overview of traditional, theoretical, and computational linguistics, analytic philosophy of language, and mathematical complexity theory with their historical backgrounds intact. The format of the empirical analyses of English and German syntax and semantics has been adapted to current practice; and Chaps. 22-24 have been rewritten to focus more sharply on the construction of a talking robot.

In this book John A. Hawkins argues that major patterns of variation across languages are structured by general principles of efficiency in language use and communication. Evidence for these comes from languages permitting structural options from which selections are made in performance, e.g. between competing word orders and between relative clauses with a resumptive pronoun versus a gap. The preferences and patterns of performance within languages are reflected, he shows, in the fixed conventions and variation patterns across grammars, leading to a 'Performance-Grammar Correspondence Hypothesis'. Hawkins extends and updates the general theory that he laid out in Efficiency and Complexity in Grammars (OUP 2004): new areas of grammar and performance are discussed, new research findings are incorporated that test his earlier predictions, and new advances in the contributing fields of language processing, linguistic theory, historical linguistics, and typology are addressed. This efficiency approach to variation has far-reaching theoretical consequences relevant to many current issues in the language sciences. These include the notion of ease of processing and how to measure it, the role of processing in language change, the nature of language universals and their explanation, the theory of complexity, the relative strength of competing and cooperating principles, and the proper definition of fundamental grammatical notions such as 'dependency'. The book also offers a new typology of VO and OV languages and their correlating properties seen from this perspective, and a new typology of the noun phrase and of argument structure.

In this book John A. Hawkins argues that major patterns of variation across languages are structured by general principles of efficiency in language use and communication. Evidence for these comes from languages permitting structural options from which selections are made in performance, e.g. between competing word orders and between relative clauses with a resumptive pronoun versus a gap. The preferences and patterns of performance within languages are reflected, he shows, in the fixed conventions and variation patterns across grammars, leading to a 'Performance-Grammar Correspondence Hypothesis'. Hawkins extends and updates the general theory that he laid out in Efficiency and Complexity in Grammars (OUP 2004): new areas of grammar and performance are discussed, new research findings are incorporated that test his earlier predictions, and new advances in the contributing fields of language processing, linguistic theory, historical linguistics, and typology are addressed. This efficiency approach to variation has far-reaching theoretical consequences relevant to many current issues in the language sciences. These include the notion of ease of processing and how to measure it, the role of processing in language change, the nature of language universals and their explanation, the theory of complexity, the relative strength of competing and cooperating principles, and the proper definition of fundamental grammatical notions such as 'dependency'. The book also offers a new typology of VO and OV languages and their correlating properties seen from this perspective, and a new typology of the noun phrase and of argument structure.

This book adopts a corpus-based critical discourse analysis approach and examines a corpus of newspaper articles from Pakistani and Indian publications to gain comparative insights into the ideological construction of China's Belt and Road Initiative (BRI) and the China-Pakistan Economic Corridor (CPEC) within news discourses. This book contributes to the works on perceptions of BRI in English newspapers of India and Pakistan. A multi-billion-dollar project of BRI or the "One Belt One Road" (OBOR), CPEC symbolizes a vision for regional revival under China's economic leadership and clout. Propelled by the Chinese Premier's dream to revive the Chinese economy as well as to restructure and catalyze infrastructural development in Asia, BRI is aimed at connecting Asia via land and sea routes with Europe, Africa, and the Middle Eastern states.

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography

Introduces the two most common numerical methods for heat transfer and fluid dynamics equations, using clear and accessible language. This unique approach covers all necessary mathematical preliminaries at the beginning of the book for the reader to sail smoothly through the chapters. Students will work step-by-step through the most common benchmark heat transfer and fluid dynamics problems, firmly grounding themselves in how the governing equations are discretized, how boundary conditions are imposed, and how the resulting algebraic equations are solved. Providing a detailed discussion of the discretization steps and time approximations, and clearly presenting concepts of explicit and implicit formulations, this graduate textbook has everything an instructor needs to prepare students for their exams and future careers. Each illustrative example shows students how to draw comparisons between the results obtained using the two numerical methods, and at the end of each chapter they can test and extend their understanding by working through the problems provided. A solutions manual is also available for instructors.

Interpreting Motion presents an integrated perspective on how language structures constrain concepts of motion and how the world shapes the way motion is linguistically expressed. Natural language allows for efficient communication of elaborate descriptions of movement without requiring a precise specification of the motion. Interpreting Motion is the first book to analyze the semantics of motion expressions in terms of the formalisms of qualitative spatial reasoning. It shows how motion descriptions in language are mapped to trajectories of moving entities based on qualitative spatio-temporal relationships. The authors provide an extensive discussion of prior research on spatial prepositions and motion verbs, devoting chapters to the compositional semantics of motion sentences, the formal representations needed for computers to reason qualitatively about time, space, and motion, and the methodology for annotating corpora with linguistic information in order to train computer programs to reproduce the annotation. The applications they illustrate include route navigation, the mapping of travel narratives, question-answering, image and video tagging, and graphical rendering of scenes from textual descriptions. The book is written accessibly for a broad scientific audience of linguists, cognitive scientists, computer scientists, and those working in fields such as artificial intelligence and geographic information systems.

The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 67 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others. The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and Text mining.

The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 67 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others. The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and Text mining.

The breadth and spread of corpus-assisted discourse studies (CADS) indicate its usefulness for exploring language use within a social context. However, its theoretical foundations, limitations, and its epistemological implications must be considered so that we can adjust our research designs accordingly. This Element focuses on important meta-level questions around epistemology, while also offering a compact guide to which corpus linguistic tools are available and how they can contribute to finding out more about discourse. This Element will appeal to researchers both new and experienced, both within the CADS community and beyond.

This book provides a state-of-the-art introduction to categorial grammar, a type of formal grammar which analyzes expressions as functions or according to a function-argument relationship. The book's focus is on linguistic, computational, and psycholinguistic aspects of logical categorial grammar, i.e. enriched Lambek Calculus. Glyn Morrill opens with the history and notation of Lambek Calculus and its application to syntax, semantics, and processing. Successive chapters extend the grammar to a number of significant syntactic and semantic properties of natural language. The final part applies Morrill's account to several current issues in processing and parsing, considered from both a psychological and a computational perspective. The book offers a rigorous and thoughtful study of one of the main lines of research in the formal and mathematical theory of grammar, and will be suitable for students of linguistics and cognitive science from advanced undergraduate level upwards.

This book provides a state-of-the-art introduction to categorial grammar, a type of formal grammar which analyzes expressions as functions or according to a function-argument relationship. The book's focus is on linguistic, computational, and psycholinguistic aspects of logical categorial grammar, i.e. enriched Lambek Calculus. Glyn Morrill opens with the history and notation of Lambek Calculus and its application to syntax, semantics, and processing. Successive chapters extend the grammar to a number of significant syntactic and semantic properties of natural language. The final part applies Morrill's account to several current issues in processing and parsing, considered from both a psychological and a computational perspective. The book offers a rigorous and thoughtful study of one of the main lines of research in the formal and mathematical theory of grammar, and will be suitable for students of linguistics and cognitive science from advanced undergraduate level upwards.