Addresses a central problem in cognitive science, concerning the learning procedures through which humans acquire and represent natural language. Brings together world leading scholars from a range of disciplines, includingcomputational linguistics, psychology, behavioural science, and mathematical linguistics. Will appeal to researchers in computational and mathematical linguistics, psychology and behavioral science, AI and NLP. Represents a wide spectrum of perspectives

This volume reflects the results of a workshop on the investigation of specialized discourse in a diachronic perspective, held within the 15th European Symposium on Language for Special Purposes ('New Trends in Specialized Discourse', Bergamo 2005). The articles deal with developments from the late medieval period to the present day, and the book encompasses studies in which the long-established tradition of domain-specific English is highlighted. The fields of contributions range from scientific to legal to political and business discourse. Special attention is given to argumentation, in an attempt to assess the time-depth of typical rhetorical strategies. Some methodological innovations are introduced in corpus linguistics. Numerous contributions bring new materials to scholarly discussion, as recently released or in-progress 'second-generation' corpora are used as data. Recent changes in present-day legal and scientific writing are also discussed as they witness fast adaptation to new requirements, due to the advent and growing familiarity of new technologies, international law and changes in academia.

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.

As natural language processing spans many different disciplines, it is sometimes difficult to understand the contributions and the challenges that each of them presents. This book explores the special relationship between natural language processing and cognitive science, and the contribution of computer science to these two fields. It is based on the recent research papers submitted at the international workshops of Natural Language and Cognitive Science (NLPCS) which was launched in 2004 in an effort to bring together natural language researchers, computer scientists, and cognitive and linguistic scientists to collaborate together and advance research in natural language processing. The chapters cover areas related to language understanding, language generation, word association, word sense disambiguation, word predictability, text production and authorship attribution. This book will be relevant to students and researchers interested in the interdisciplinary nature of language processing.

This book encompasses a collection of topics covering recent advances that are important to the Arabic language in areas of natural language processing, speech and image analysis. This book presents state-of-the-art reviews and fundamentals as well as applications and recent innovations.The book chapters by top researchers present basic concepts and challenges for the Arabic language in linguistic processing, handwritten recognition, document analysis, text classification and speech processing. In addition, it reports on selected applications in sentiment analysis, annotation, text summarization, speech and font analysis, word recognition and spotting and question answering.Moreover, it highlights and introduces some novel applications in vital areas for the Arabic language. The book is therefore a useful resource for young researchers who are interested in the Arabic language and are still developing their fundamentals and skills in this area. It is also interesting for scientists who wish to keep track of the most recent research directions and advances in this area.

Contemporary corpus linguists use a wide variety of methods to study discourse patterns. This volume provides a systematic comparison of various methodological approaches in corpus linguistics through a series of parallel empirical studies that use a single corpus dataset to answer the same overarching research question. Ten contributing experts each use a different method to address the same broadly framed research question: In what ways does language use in online Q+A forum responses differ across four world English varieties (India, Philippines, United Kingdom, and United States)? Contributions will be based on analysis of the same 400,000 word corpus from online Q+A forums, and contributors employ methodologies including corpus-based discourse analysis, audience perceptions, Multi-Dimensional analysis, pragmatic analysis, and keyword analysis. In their introductory and concluding chapters, the volume editors compare and contrast the findings from each method and assess the degree to which 'triangulating' multiple approaches may provide a more nuanced understanding of a research question, with the aim of identifying a set of complementary approaches which could arguably take into account analytical blind spots. Baker and Egbert also consider the importance of issues such as researcher subjectivity, type of annotation, the limitations and affordances of different corpus tools, the relative strengths of qualitative and quantitative approaches, and the value of considering data or information beyond the corpus. Rather than attempting to find the 'best' approach, the focus of the volume is on how different corpus linguistic methodologies may complement one another, and raises suggestions for further methodological studies which use triangulation to enrich corpus-related research.

The book presents a wide range of recent research results about parsing schemata, introducing formal frameworks and theoretical results while keeping a constant focus on applicability to practical parsing problems. The first part includes a general introduction to the parsing schemata formalism that contains the basic notions needed to understand the rest of the parts. Thus, this compendium can be used as an introduction to natural language parsing, allowing postgraduate students not only to get a solid grasp of the fundamental concepts underlying parsing algorithms, but also an understanding of the latest developments and challenges in the field. Researchers in computational linguistics will find novel results where parsing schemata are applied to current problems that are being actively researched in the computational linguistics community (like dependency parsing, robust parsing, or the treatment of non-projective linguistics phenomena). This book not only explains these results in a more detailed, comprehensive and self-contained way, and highlights the relations between them, but also includes new contributions that have not been presented. Readership: Researchers, academics, professionals, postgraduate and advanced undergraduate students in computational linguistics, theoretical computer science and artificial intelligence.

Users of natural languages have many word orders with which to encode the same truth-conditional meaning. They choose contextually appropriate strings from these many ways with little conscious effort and with effective communicative results. Previous computational models of when English speakers produce non-canonical word orders, like topicalization, left-dislocation and clefts, fail. The primary goal of this book is to present a better model of when speakers choose to produce certain non-canonical word orders by incorporating the effects of discourse context and speaker goals on syntactic choice. This book makes extensive use of previously unexamined naturally occurring corpus data of non-canonical word order in English, both to illustrate the points of the theoretical model and to train the statistical model.

Innovative examination of augmentation technologies in terms of technical, social, and ethical considerations Usable as a supplemental text for a variety of courses, and also of interest to researchers and professionals in fields including: technical communication, digital communication, UX design, information technology, informatics, human factors, artificial intelligence, ethics, philosophy of technology, and sociology of technology First major work to combine technological, ethical, social, and rhetorical perspectives on human augmentation Additional cases and research material available at the authors' Fabric of Digital Life research database at https://fabricofdigitallife.com/

Grammatical relatedness of Slavic languages could effectively be exploited in multilingual grammar engineering in order to achieve theoretically sound modularity that would also incorporate important insights from Slavic linguistics. In line with increasing interest in finegrained modular linguistic representations, this book investigates the plausibility of designing linguistically motivated shared grammatical resources for an interesting set of related languages in a grammar formalism that appears to be suited for this endeavour. Grammar is viewed as a repository of knowledge encoded in rich ontologies. Selected topics of Slavic morphosyntax illustrate the range of shared grammatical knowledge to be modelled.

This book presents a richly illustrated, hands-on discussion of one of the fastest growing fields in linguistics today. The authors address key methodological issues in corpus linguistics, such as collocations, keywords and the categorization of concordance lines. They show how these topics can be explored step-by-step with BNCweb, a user-friendly web-based tool that supports sophisticated analyses of the 100-million-word British National Corpus. Indeed, the BNC and BNCweb have been described by Geoffrey Leech as «an un-paralleled combination of facilities for finding out about the English language of the present day (Foreword). The book contains tasks and exercises, and is suitable for undergraduates, postgraduates and experienced corpus users alike.

This volume explores intercultural communication in specialist fields and its realisations in language for specific purposes. Special attention is given to legal, commercial, political and institutional discourse used in particular workplaces, analysed from an intercultural perspective. The contributions explore to what extent intercultural pressure leads to particular discourse patternings and lexico-grammatical/phonological realisations, and also the extent to which textual re-encoding and recontextualisation alter the pragmatic value of the texts taken into consideration.

This book gathers, and makes available in English, with new introductions, previously out of print or otherwise difficult to access articles by Fr Roberto Busa S.J. (1913 - 2011). Also included is a comprehensive bibliography of Busa, an oral history interview with Busa's translator, and a substantial new chapter that evaluates Busa's contributions and intellectual legacies. The result is a groundbreaking book that is of interest to digital humanists and computational linguists as well as historians of science, technology and the humanities. As the application of computing to cultural heritage becomes ever more ubiquitous, new possibilities for transmitting, shaping, understanding, questioning and even imagining the human record are opening up. Busa is considered by many to be among the pioneers in this field, and his research on projects like the Index Thomisticus is one of the earliest known examples of a humanities project that incorporated automation; it continues to be widely cited and used today. Busa published more than 350 academic articles and shorter pieces in numerous languages, but despite the unquestionable importance of his early work for understanding the history and development of fields like humanities computing and computational linguistics, a large part of his canon and thinking remained inaccessible or difficult to access until this book.

The articles collected in this volume present different aspects of the use of typed feature structures in theoretical and computational linguistics. It covers a wide range of linguistics theories (CCG, Construction Grammar, HPSG, LTAG), a wide range of linguistic phenomena (aspect, concord, idioms, passive), and a wide range of applications (parsing, question answering, semantic composition).

This collection examines the promise and limitations for computer-assisted language learning of emerging speech technologies: speech recognition, text-to-speech synthesis, and acoustic visualization. Using pioneering research from contributors based in the US and Europe, this volume illustrates the uses of each technology for learning languages, the problems entailed in their use, and the solutions evolving in both technology and instructional design. To illuminate where these technologies stand on the path from research toward practice, the book chapters are organized to reflect five stages in the maturation of learning technologies: basic research, analysis of learners' needs, adaptation of technologies to meet needs, development of prototypes to incorporate adapted technologies, and evaluation of prototypes. The volume demonstrates the progress in employing each class of speech technology while pointing up the effort that remains for effective, reliable application to language learning.

Routledge Introductions to Applied Linguistics consists of introductory level textbooks covering the core topics in Applied Linguistics, designed for those entering postgraduate studies and language professionals returning to academic study. The books take an innovative "practice to theory" approach, with a ?back to front? structure which takes the reader from real life problems and issues in the field, then enters into a discussion of intervention and how to engage with these concerns. The final section concludes by tying the practical issues to theoretical foundations. Additional features include tasks with commentaries, a glossary of key terms, and an annotated further reading section.

Corpus linguistics is a key area of applied linguistics and one of the most rapidly developing. Winnie Cheng's practical approach guides readers in acquiring the relevant knowledge and theories to enable the analysis, explanation and interpretation of language using corpus methods.

Throughout the book practical classroom examples, concordance based analyses and tasks such as designing and conducting mini-projects are used to connect and explain the conceptual and practical aspects of corpus linguistics.

Exploring Corpus Linguistics is an essential textbook for post-graduate/graduate students new to the field and for advanced undergraduates studying English Language and Applied Linguistics.

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

This volume investigates identity traits in academic discourse. Its main purpose is to better understand how and to what extent language forms and functions are adapting to the globalisation of academic discourse. Key factors of verbal behaviour such as the affiliation of actors to one or more cultures have been found to interact, producing transversal identities that are independent of local traits, with a tendency to merge and hybridise in an intercultural sense. The volume consists of three main parts: The first deals with identity traits across languages and cultures, as the use of a given language affects the writing of a scholar, especially when it is not his/her native language. The second comprises investigations of identity features characterising specific disciplinary communities or marking a differentiation from other branches of knowledge. The third part of the volume deals with identity aspects emerging from genre and gender variation.

Corpus-based studies of diachronic English have been thriving over the last three decades to such an extent that the validity of corpora in the enrichment of historical linguistic research is now undeniable. The present book is a collection of papers illustrating the state of the art in corpus-based research on diachronic English, by means of case-study expositions, software presentations, and theoretical discussions on the topic. The majority of these papers were delivered at the

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.

This study analyzes passive sentences in English and Portuguese which result from a post-semantic transformation applied when a nound, which does not play the semantic role of actor, is chosen as syntactic subject. Choice between a passive and its non-passive or active counterpart reflects differences in the distribution of information in the sentence as regards the relative importance of the latter's constituents for communication. Such distribution is analyzed in terms of Praque school theory, especially that involving the notions of communicative dynamism and the distribution of theme and rheme. The book concludes with a contrastive analysis of English and Portuguese passive sentence patterns which serves as the basis for observations on the teaching of Portuguese passives to native speakers of English.

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.

This collection examines the promise and limitations for computer-assisted language learning of emerging speech technologies: speech recognition, text-to-speech synthesis, and acoustic visualization. Using pioneering research from contributors based in the US and Europe, this volume illustrates the uses of each technology for learning languages, the problems entailed in their use, and the solutions evolving in both technology and instructional design. To illuminate where these technologies stand on the path from research toward practice, the book chapters are organized to reflect five stages in the maturation of learning technologies: basic research, analysis of learners' needs, adaptation of technologies to meet needs, development of prototypes to incorporate adapted technologies, and evaluation of prototypes. The volume demonstrates the progress in employing each class of speech technology while pointing up the effort that remains for effective, reliable application to language learning.

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.

This book investigates the language of Polish-English bilingual children raised in the United Kingdom and their Polish monolingual counterparts. It exemplifies the lexico-grammatical knowledge of both groups and uses corpus-based grammatical inference in order to establish the source of the impediment of the minority language of the bilingual group. The author applies the methodology of corpus linguistics and narrative analysis to study the language of young bilinguals. He presupposes the caveat that a child-type competence exists and can be contrasted with an adult-type competence. He uses a variety of corpus frequency measures to compare the specific stylometric features of bilingual child narratives and their monolingual counterparts. The book focuses on how bilingual and monolingual language differs in areas such as the lexicon, morphosyntax, and semantics.