*The most comprehensive up-to-date student-friendly guide to translation tools and technologies *Translation Tools and Technologies are an essential component of any translator training programme, following European Masters in Translation framework guidelines *Unlike the competition, this textbook offers comprehensive and accessible explanations of how to use current translation tools, illustrated by examples using a wide range of languages, linked to task-oriented, self-study training materials

This book presents a collection of original research articles that showcase the state of the art of research in corpus and computational linguistic approaches to Chinese language teaching, learning and assessment. It offers a comprehensive set of corpus resources and natural language processing tools that are useful for teaching, learning and assessing Chinese as a second or foreign language; methods for implementing such resources and techniques in Chinese pedagogy and assessment; as well as research findings on the effectiveness of using such resources and techniques in various aspects of Chinese pedagogy and assessment.

Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, Inference and Prediction Methods, Random Processes, Bayesian Methods, Machine Learning, Artificial Neural Networks for Natural Language Processing, Information Retrieval, Language Core Tasks, Language Understanding Applications, and more. The synergistic confluence of linguistics, statistics, big data, and high-performance computing is the underlying force for the recent and dramatic advances in analyzing and understanding natural languages, hence making this series all the more important.

The book covers theoretical work, approaches, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language are proliferating. Adequate coverage of natural language processing in artificial intelligence encounters problems on developments of specialized computational approaches and algorithms. Many difficulties are due to ambiguities in natural language and dependency of interpretations on contexts and agents. Classical approaches proceed with relevant updates, and new developments emerge in theories of formal and natural languages, computational models of information and reasoning, and related computerized applications. Its focus is on computational processing of human language and relevant medium languages, which can be theoretically formal, or for programming and specification of computational systems. The goal is to promote intelligent natural language processing, along with models of computation, language, reasoning, and other cognitive processes.

This book collects research contributions concerning quantitative approaches to characterize originality and universality in language. The target audience comprises researchers and experts in the field but the book may also be beneficial for graduate students. Creativity might be considered as a morphogenetic process combining universal features with originality. While quantitative methods applied to text and music reveal universal features of language and music, originality is a highly appreciated feature of authors, composers, and performers. In this framework, the different methods of traditional problems of authorship attribution and document classification provide important insights on how to quantify the unique features of authors, composers, and styles. Such unique features contrast, and are restricted by, universal signatures, such as scaling laws in word-frequency distribution, entropy measures, long-range correlations, among others. This interplay between innovation and universality is also an essential ingredient of methods for automatic text generation. Innovation in language becomes relevant when it is imitated and spread to other speakers and musicians. Modern digital databases provide new opportunities to characterize and model the creation and evolution of linguistic innovations on historical time scales, a particularly important example of the more general problem of spreading of innovations in complex social systems. This multidisciplinary book combines scientists from various different backgrounds interested in quantitative analysis of variations (synchronic and diachronic) in language and music. The aim is to obtain a deeper understanding of how originality emerges, can be quantified, and propagates.

Rapid advances in computing have enabled the integration of corpora into language teaching and learning, yet in China corpus methods have not yet been widely adopted. Corpus Linguistics in Chinese Contexts aims to advance the state of the art in the use of corpora in applied linguistics and contribute to the expertise in corpus use in China.

This book applies formal language and automata theory in the context of Tibetan computational linguistics; further, it constructs a Tibetan-spelling formal grammar system that generates a Tibetan-spelling formal language group, and an automata group that can recognize the language group. In addition, it investigates the application technologies of Tibetan-spelling formal language and automata. Given its creative and original approach, the book offers a valuable reference guide for researchers, teachers and graduate students in the field of computational linguistics.

This book is a description of some of the most recent advances in text classification as part of a concerted effort to achieve computer understanding of human language. In particular, it addresses state-of-the-art developments in the computation of higher-level linguistic features, ranging from etymology to grammar and syntax for the practical task of text classification according to genres, registers and subject domains. Serving as a bridge between computational methods and sophisticated linguistic analysis, this book will be of particular interest to academics and students of computational linguistics as well as professionals in natural language engineering.

This concise volume offers an accessible introduction to state-of-the-art artificial intelligence (AI) language models, providing a platform for their use in textual interpretation across the humanities and social sciences. The book outlines the affordances of new technologies for textual analysis, which has historically employed established approaches within the humanities. Neuman, Danesi, and Vilenchik argue that these different forms of analysis are indeed complementary, demonstrating the ways in which AI-based perspectives echo similar theoretical and methodological currents in traditional approaches while also offering new directions for research. The volume showcases examples from a wide range of texts, including novels, television shows, and films to illustrate the ways in which the latest AI technologies can be used for "dialoguing" with textual characters and examining textual meaning coherence. Illuminating the potential of AI language models to both enhance and extend research on the interpretation of texts, this book will appeal to scholars interested in cognitive approaches to the humanities in such fields as literary studies, discourse analysis, media studies, film studies, psychology, and artificial intelligence.

This book is the first linguistic study that combines CL and CDA to compare the media representations of Macau's gaming industry in English-language newspapers published in Mainland China, Hong Kong, and Macau. An analytical framework based on the notion of the extended units of meaning of a lexical item (Sinclair, 2004) is adopted to examine the ideological stances regarding Macau's gaming industry among three English-language newspapers published in the three Chinese territories mentioned above by comparing the patterns of co-selection of shared and unique words and phraseologies. The book's findings confirm that the news media in these three territories differ in their ideological stances. Moreover, the book offers readers a fresh perspective on Macau by exploring how the region and its gaming industry are represented in three news article corpora. Thus, it provides unique insights into the similarities and differences among these three territories. Further, the research suggests that the methods adopted in this book can be replicated to examine and compare the news and political discourses in a variety of contexts. Accordingly, the book represents a valuable resource not only for students majoring in linguistics, media studies, communication, journalism, etc., but also for researchers in the fields of corpus linguistics, critical discourse analysis, etc.

This book is the first of its kind in creating a snapshot of the state of the art in the use of technology in translating creative texts. The book gives an overview of a wide range of subjects that are developing rapidly and are likely to become substantially more important to both researchers and practitioners over the next few years. It includes work by researchers at all career stages, with strong representation by early and mid-career researchers who are likely to go on to shape the field in the coming years. It addresses active debates in the field (i.e. whether technology can/should be used in the translation of creative texts) from the perspective of data, rather than conjecture. Events and publications in the same field are increasing in number rapidly, along with the number of researchers expressing an interest in the topic. Therefore, this book is well placed to become influential in this development.

This volume showcases original, agenda-setting studies in the field of learner corpus research of both spoken and written production. The studies have important applications for classroom pedagogy. The volume brings readers up-to-date with new written and spoken learner corpora, often looking at previously under-examined variables in learner corpus investigations. It also demonstrates innovative applications of learner corpus findings, addressing issues such as the effect of task, the effect of learner variables and the nature of learner language. The volume is of significant interest to researchers working in corpus linguistics, learner corpus research, second language acquisition and English for Academic and Specific Purposes, as well to practitioners interested in the application of the findings in language teaching and assessment.

Complex systems in nature and society make use of information for the development of their internal organization and the control of their functional mechanisms. Alongside technical aspects of storing, transmitting and processing information, the various semantic aspects of information, such as meaning, sense, reference and function, play a decisive part in the analysis of such systems. With the aim of fostering a better understanding of semantic systems from an evolutionary and multidisciplinary perspective, this volume collects contributions by philosophers and natural scientists, linguists, information and computer scientists. They do not follow a single research paradigm; rather they shed, in a complementary way, new light upon some of the most important aspects of the evolution of semantic systems. Evolution of Semantic Systems is intended for researchers in philosophy, computer science, and the natural sciences who work on the analysis or development of semantic systems, ontologies, or similar complex information structures. In the eleven chapters, they will find a broad discussion of topics ranging from underlying universal principles to representation and processing aspects to paradigmatic examples.

To date, the relation between multilingualism and the Semantic Web has not yet received enough attention in the research community. One major challenge for the Semantic Web community is to develop architectures, frameworks and systems that can help in overcoming national and language barriers, facilitating equal access to information produced in different cultures and languages. As such, this volume aims at documenting the state-of-the-art with regard to the vision of a Multilingual Semantic Web, in which semantic information will be accessible in and across multiple languages. The Multilingual Semantic Web as envisioned in this volume will support the following functionalities: (1) responding to information needs in any language with regard to semantically structured data available on the Semantic Web and Linked Open Data (LOD) cloud, (2) verbalizing and accessing semantically structured data, ontologies or other conceptualizations in multiple languages, (3) harmonizing, integrating, aggregating, comparing and repurposing semantically structured data across languages and (4) aligning and reconciling ontologies or other conceptualizations across languages. The volume is divided into three main sections: Principles, Methods and Applications. The section on "Principles" discusses models, architectures and methodologies that enrich the current Semantic Web architecture with features necessary to handle multiple languages. The section on "Methods" describes algorithms and approaches for solving key issues related to the construction of the Multilingual Semantic Web. The section on "Applications" describes the use of Multilingual Semantic Web based approaches in the context of several application domains. This volume is essential reading for all academic and industrial researchers who want to embark on this new research field at the intersection of various research topics, including the Semantic Web, Linked Data, natural language processing, computational linguistics, terminology and information retrieval. It will also be of great interest to practitioners who are interested in re-examining their existing infrastructure and methodologies for handling multiple languages in Web applications or information retrieval systems.

A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. 60+ transformer architectures covered in a comprehensive manner. A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision. Practical tips and tricks for each architecture and how to use it in the real world. Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.

Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other research areas. In this volume, readers immediately begin working with text, and each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale. Each chapter builds on its predecessor as readers move from small scale "microanalysis" of single texts to large scale "macroanalysis" of text corpora, and each concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book's focus is on making the technical palatable and making the technical useful and immediately gratifying. Text Analysis with R is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological toolkit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that readers simply cannot gather using traditional qualitative methods of close reading and human synthesis. This new edition features two new chapters: one that introduces dplyr and tidyr in the context of parsing and analyzing dramatic texts to extract speaker and receiver data, and one on sentiment analysis using the syuzhet package. It is also filled with updated material in every chapter to integrate new developments in the field, current practices in R style, and the use of more efficient algorithms.

This book contains a selection of articles on new developments in translation and interpreting studies. It offers a wealth of new and innovative approaches to the didactics of translation and interpreting that may well change the way in which translators and interpreters are trained. They include such issues of current debate as assessment methods and criteria, assessment of competences, graduate employability, placements, skills labs, the perceived skills gap between training and profession, the teaching of terminology, and curriculum design. The authors are experts in their fields from renowned universities in Europe, Africa and North-America. The book will be an indispensable help for trainers and researchers, but may also be of interest to translators and interpreters.

Inheritance, which has its origins in the field of artificial intelligence, is a framework focusing on shared properties. When applied to inflectional morphology, it enables useful generalizations within and across paradigms. The inheritance tree format serves as an alternative to traditional paradigms and provides a visual representation of the structure of the language's morphology. This mapping also enables cross-linguistic morphological comparison. In this book, the nominal inflectional morphology of Old High German, Latin, Early New High German, and Koine Greek are analyzed using inheritance trees. Morphological data is drawn from parallel texts in each language; the trees may be used as a translation aid to readers of the source texts as an accompaniment to or substitute for traditional paradigms. The trees shed light on the structural similarities and differences among the four languages.

The Routledge Handbook of Corpus Linguistics 2e provides an updated overview of a dynamic and rapidly growing area with a widely applied methodology. Over a decade on from the first edition of the Handbook, this collection of 47 chapters from experts in key areas offers a comprehensive introduction to both the development and use of corpora as well as their ever-evolving applications to other areas, such as digital humanities, sociolinguistics, stylistics, translation studies, materials design, language teaching and teacher development, media discourse, discourse analysis, forensic linguistics, second language acquisition and testing. The new edition updates all core chapters and includes new chapters on corpus linguistics and statistics, digital humanities, translation, phonetics and phonology, second language acquisition, social media and theoretical perspectives. Chapters provide annotated further reading lists and step-by-step guides as well as detailed overviews across a wide range of themes. The Handbook also includes a wealth of case studies that draw on some of the many new corpora and corpus tools that have emerged in the last decade. Organised across four themes, moving from the basic start-up topics such as corpus building and design to analysis, application and reflection, this second edition remains a crucial point of reference for advanced undergraduates, postgraduates and scholars in applied linguistics.

This book describes effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it. To tackle ambiguities, the authors use selectional preferences (SP), which measure how well two words fit together semantically in a sentence. Today, many disciplines require automatic text analysis based on the syntactic and semantic characteristics of language and as such several techniques for parsing sentences have been proposed. Which is better? In this book the authors begin with simple heuristics before moving on to more complex methods that identify nouns and verbs and then aggregate modifiers, and lastly discuss methods that can handle complex subordinate and relative clauses. During this process, several ambiguities arise. SP are commonly determined on the basis of the association between a pair of words. However, in many cases, SP depend on more words. For example, something (such as grass) may be edible, depending on who is eating it (a cow?). Moreover, things such as popcorn are usually eaten at the movies, and not in a restaurant. The authors deal with these phenomena from different points of view.

This textbook gives a systematized and compact summary, providing the most essential types of modern models for languages and computation together with their properties and applications. Most of these models properly reflect and formalize current computational methods, based on parallelism, distribution and cooperation covered in this book. As a result, it allows the user to develop, study, and improve these methods very effectively. This textbook also represents the first systematic treatment of modern language models for computation. It covers all essential theoretical topics concerning them. From a practical viewpoint, it describes various concepts, methods, algorithms, techniques, and software units based upon these models. Based upon them, it describes several applications in biology, linguistics, and computer science. Advanced-level students studying computer science, mathematics, linguistics and biology will find this textbook a valuable resource. Theoreticians, practitioners and researchers working in today's theory of computation and its applications will also find this book essential as a reference.

The computational approach of this book is aimed at simulating the human ability to understand various kinds of phrases with a novel metaphoric component. That is, interpretations of metaphor as literal paraphrases are based on literal meanings of the metaphorically used words. This method distinguishes itself from statistical approaches, which in general do not account for novel usages, and from efforts directed at metaphor constrained to one type of phrase or to a single topic domain. The more interesting and novel metaphors appear to be based on concepts generally represented as nouns, since such concepts can be understood from a variety of perspectives. The core of the process of interpreting nominal concepts is to represent them in such a way that readers or hearers can infer which aspect(s) of the nominal concept is likely to be intended to be applied to its interpretation. These aspects are defined in terms of verbal and adjectival predicates. A section on the representation and processing of part-sentence verbal metaphor will therefore also serve as preparation for the representation of salient aspects of metaphorically used nouns. As the ability to process metaphorically used verbs and nouns facilitates the interpretation of more complex tropes, computational analysis of two other kinds of metaphorically based expressions are outlined: metaphoric compound nouns, such as "idea factory" and, together with the representation of inferences, modified metaphoric idioms, such as "Put the cat back into the bag".

Language and Politics in Post-Soviet Russia critically examines the uses of language in post-Soviet media and political texts. Drawing on theories from a range of fields, including critical discourse studies, metaphor analysis, media studies, as well as recent developments in corpus linguistics, the book investigates the changing discursive landscape of the political decade between 1998 and 2007. Not yet applied to the linguistic and political situation in post-Soviet Russia, the framework of corpus-assisted discourse analysis offers a rich potential for a systematic and critical interrogation of discursive practices that characterized Russian politics shortly before and during the president Vladimir Putin's first two terms in office. The corpus-based and contextually grounded analyses of loanwords and metaphors allow the author to reveal changes and continuities in the subtle interplay between language and politics in post-Soviet Russia.

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.

Posthumanism and Deconstructing Arguments: Corpora and Digitally-driven Critical Analysis presents a new and practical approach in Critical Discourse Studies. Providing a data-driven and ethically-based method for the examination of arguments in the public sphere, this ground-breaking book: Highlights how the reader can evaluate arguments from points of view other than their own; Demonstrates how digital tools can be used to generate 'ethical subjectivities' from large numbers of dissenting voices on the world-wide-web; Draws on ideas from posthumanist philosophy as well as from Jacques Derrida, Gilles Deleuze and Felix Guattari for theorising these subjectivities; Showcases a critical deconstructive approach, using different corpus linguistic programs such as AntConc, WMatrix and Sketchengine. Posthumanism and Deconstructing Arguments is essential reading for lecturers and researchers with an interest in critical discourse studies, critical thinking, corpus linguistics and digital humanities.