Datalingvistik

La gran extensión geográfica del español ha producido numerosas obras lexicográficas que se enfrentan al reto de dar respuesta a problemas derivados de la internacionalización lograda por esta lengua. Por una parte, los diccionarios bilingües aportan una perspectiva diferente para reflexionar sobre nuestro léxico y sobre cómo representarlo de forma eficaz en los diccionarios; por otra parte, dentro de los países hispanohablantes, el colorido mosaico de variedades regionales, nacionales y supranacionales suscita debates sobre la manera de tratar tamaña diversidad para conseguir una representación ecuánime para todos. En este volumen, especialistas de diferentes orígenes contrastan problemas, métodos y soluciones lexicográficas para abordar esta dimensión internacional.

This book explores the evolution of sentiment in economic terms in the press during financial crises applying a combination of sentiment analysis techniques and usage fluctuation analysis on a diachronic corpus derived from editorials in quality newspapers during the Great Recession. The book uncovers two key findings: first, certain economic terms become event words during times of crisis due to their increased use in the press and the general public, revealing rapid semantic changes in economic terms caused by major socio-economic events. Second, sentiment-laden collocations are found to be influenced by culture, highlighting language¿s adaptability to financial upheavals. This work proposes an innovative methodology that combines lexicon-based Sentiment Analysis, Corpus Linguistics, and qualitative Discourse Analysis to shed light on how language shapes economic discourse, making it a valuable resource for scholars exploring the relationship between language and historic events.

This book provides an analysis of acoustic features of polysemous strings and an implementation of a speech disambiguation program based on the phonetic information. Throughout the book, the term ¿polysemous string¿ refers to idioms with plausible literal interpretations, restrictive and non¿restrictive relative clauses, and the same expressions used as quotations and appearing in a non¿quotational context. The author explains how, typically, context is sufficient to determine the intended meaning. But there is enough evidence in psycholinguistic and phonetic literature to suspect that these superficially identical strings exhibit different acoustic features. In the experiment presented in the book, the participants were asked to read short excerpts containing corresponding elements of polysemous strings placed in the same intonational position. The acoustic analyses of ditropic pairs and subsequent statistical tests revealed that there is almost no difference in the duration, pitch, or intensity in literal and figurative interpretations. However, the analysis of relative clauses and quotations demonstrated that speakers are more likely to use acoustic cues to differentiate between the two possible readings. The book argues that the acoustic analysis of polysemous phrases could be successfully implemented in designing automatic speech recognition systems in order to improve their performance in disambiguating polysemous phrases.Analyzes acoustic features of polysemous strings and an implementation of a speech disambiguation programIncludes evidence that superficially identical strings exhibit different acoustic featuresArgues that acoustic analysis of polysemous phrases can be successfully implemented in automatic speech recognition

This book provides readers with a brief account of the history of Language Identification (LI) research and a survey of the features and methods most used in LI literature. LI is the problem of determining the language in which a document is written and is a crucial part of many text processing pipelines. The authors use a unified notation to clarify the relationships between common LI methods. The book introduces LI performance evaluation methods and takes a detailed look at LI-related shared tasks. The authors identify open issues and discuss the applications of LI and related tasks and proposes future directions for research in LI.

This book is a convergence of heterogeneous insights (from languages and literature, history, music, media and communications, computer science and information studies) which previously went their separate ways; now unified under a single framework for the purpose of preserving a unique heritage, the language. In a growing society like ours, description and documentation of human and scientific evidence/resources are improving. However, these resources have enjoyed cost-effective solutions for Western languages but are yet to flourish for African tone languages. By situating discussions around a universe of discourse, sufficient to engender cross-border interactions within the African context, this book shall break a dichotomy of challenges on adaptive processes required to unify resources to assist the development of modern solutions for the African domain. 

The book investigates how machine translation (MT) provides opportunities and increases the willingness to communicate in a foreign language. It is informed by a mixed methods methodological approach that analyzes quantitative and qualitative data of questionnaires and real-time instant messages (IM). The book is unique because it contains tables, figures, and screenshots of actual real-time IM exchanges. It is innovative in discussing IM translation, a novel form of MT, and demonstrates how the technology offers English foreign language learners, in this case, Chinese college students, communication opportunities while increasing their willingness to communicate. The study provides an interesting insight into IM user profiles, clients, and usages. Smartphone screenshots are the locale of the study whose findings have far-reaching implications for students, language and translation instructors, and curriculum designers.

This book presents a new approach to computational musicology in which music becomes a computational entity based on human cognition, allowing us to calculate music like numbers. Does music have semantics? Can the meaning of music be revealed using symbols and described using language? The authors seek to answer these questions in order to reveal the essence of music. Chapter 1 addresses a very fundamental point, the meaning of music, while referring to semiotics, gestalt, Schenkerian analysis and cognitive reality. Chapter 2 considers why the 12-tone equal temperament came to be prevalent. This chapter serves as an introduction to the mathematical definition of harmony, which concerns the ratios of frequency in tonic waves. Chapter 3, "e;Music and Language,"e; explains the fundamentals of grammar theory and the compositionality principle, which states that the semantics of a sentence can be composed in parallel to its syntactic structure. In turn, Chapter 4 explains the most prevalent score notation - the Berklee method, which originated at the Berklee School of Music in Boston - from a different point of view, namely, symbolic computation based on music theory. Chapters 5 and 6 introduce readers to two important theories, the implication-realization model and generative theory of tonal music (GTTM), and explain the essence of these theories, also from a computational standpoint. The authors seek to reinterpret these theories, aiming at their formalization and implementation on a computer. Chapter 7 presents the outcomes of this attempt, describing the framework that the authors have developed, in which music is formalized and becomes computable. Chapters 8 and 9 are devoted to GTTM analyzers and the applications of GTTM. Lastly, Chapter 10 discusses the future of music in connection with computation and artificial intelligence.This book is intended both for general readers who are interested in music, and scientists whose research focuses on music information processing. In order to make the content as accessible as possible, each chapter is self-contained.

This book will show how generative technology works and the drivers. It will also look at the applications - showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. During the past decade, companies have spent billions on AI.  But the focus has been on applying the technology to predictions - which is known as analytical AI.  It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI.  The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie - at very little cost. This is all part of generative AI. It's still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos. The potential for this technology is enormous.  It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation. What You Will Learn The importance of understanding generative AI The fundamentals of the technology, like the foundation and diffusion models How generative AI apps work How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation. The risks, downsides and challenges. Who This Book is For Professionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions.

Successful interaction between humans and artificial systems allows for combining the advantages of all actors in solving problems. However, interaction is often demanding for people, as it builds on artificial concepts, such as strict protocols.This book presents the new paradigm of 'phenotropic' interaction, which aims to improve the naturalness of the interaction thanks to bio-inspired approaches. These include methods for understanding and reasoning with human perceptions expressed as natural language, fundamental to support the artificial system to better understand people's real desires and needs. Methods for improving the theories of computing with words and perceptions are developed in this book and applied to concrete use cases in prototypes enhancing the exchange of information with virtual assistants and smart city ecosystems. The presented use cases serve not only as examples of the application of the phenotropic interaction principles but also to verify their effective impact on communication.

This book explores the cognitive plausibility of computational language models and why it¿s an important factor in their development and evaluation. The authors present the idea that more can be learned about cognitive plausibility of computational language models by linking signals of cognitive processing load in humans to interpretability methods that allow for exploration of the hidden mechanisms of neural models. The book identifies limitations when applying the existing methodology for representational analyses to contextualized settings and critiques the current emphasis on form over more grounded approaches to modeling language. The authors discuss how novel techniques for transfer and curriculum learning could lead to cognitively more plausible generalization capabilities in models. The book also highlights the importance of instance-level evaluation and includes thorough discussion of the ethical considerations that may arise throughout the various stages of cognitive plausibility research.

This book draws from graph theory and a semiotic comparison between language and distributed ledger technologies (also known as Blockchains) to motivate three experiments on language and network structure. The work explores the importance of this concept in different areas of linguistic research and establishes elements of a tentative linguistics of networks. Its empirical investigation is based on data from threads posted to the imageboard Hispachan, which often displays radicalized language and hate speech. The experiments (based on topic modeling and sentiment analysis) reveal an impact of the network structure of interaction on the interaction itself as well as the use of ingroup signalling and emotionally charged vocabulary to expand the network of interaction..

Technology for teachers in Tamil, The book is part of the International Educational Conference 2022, which was conducted in Wisdom City, Dindigul. Tamil Nadu India.

Contemporary data analytics involves extracting insights from large volumes of data and translating these insights into action to enhance knowledge and practice. Combining tutorial-style chapters and empirical studies, this collection of papers explains the distinction between data analytics and statistics as typically conceived, and shows how data analytic approaches can inform different areas of cognitive linguistic research and application.

This edited book covers a range of topics related to the use of corpora in translation education, including their standing in corpus-based translation studies, their relationship with machine learning and post-editing, recent advances in learner corpora development and the integration of corpora into translation pedagogy.The book draws the reader into the latest debate on the potential benefits and challenges of using corpora in translation education, as well as serving as practical guidance on how to incorporate corpora into their teaching practice.The book is of particular interest to translation educators, researchers, and postgraduate students who are interested in exploring theoretical underpinnings as well as new ways of teaching and learning translation.

This book presents a systematic literary comparison of the retranslations by adopting a mixed-method and bottom-up (inductive) approach by developing an empirical corpus approach. This corpus is specifically tailored to identify and study linguistic and non-linguistic modernist features throughout the texts, such as stream of consciousness-indirect interior monologue and free indirect speech. All occurrences are analysed quantitatively in the computations of inferential and comparative statistics, such as tests of time trends, lexical variety, and lexical frequency. The target texts are digitised, and the resulting text files are then analysed using a bespoke, novel computer program capable of the functions not provided by commercially available software such as WordSmith Tools and WMatrix. This methodology enables in-depth explorations of micro- and macro-textual features and allows a mixed-method approach combining close-reading qualitative analysis with systematic quantitative comparisons. The empirical study of the digital corpus of eleven Italian (re)translations of Virginia Woolf¿s To the Lighthouse identifies a progressive source-text orientation only in a relatively few aspects of a few target texts. The translators¿ presence affects all the examined target texts in terms of register and style under the influence of the Italian translation norms usually attributed to the translation of literary classics. Its intended readership comprises students of the mentioned fields and the general public of readers, editors, and publishers.

Computational Methods for Communication Science showcases the use of innovative computational methods in the study of communication.

This book provides a comprehensive overview of methods to build comparable corpora and of their applications, including machine translation, cross-lingual transfer, and various kinds of multilingual natural language processing. The authors begin with a brief history on the topic followed by a comparison to parallel resources and an explanation of why comparable corpora have become more widely used. In particular, they provide the basis for the multilingual capabilities of pre-trained models, such as BERT or GPT. The book then focuses on building comparable corpora, aligning their sentences to create a database of suitable translations, and using these sentence translations to produce dictionaries and term banks. Then, it is explained how comparable corpora can be used to build machine translation engines and to develop a wide variety of multilingual applications.

This book sheds new light on chunk in business correspondence in order to promote the advancement of machine translation. By presenting a bilingual chunk table for correspondence and providing basic theoretical and empirical data on the construction of an MT-based English-Chinese chunk bank for business correspondence, it seeks to improve the accuracy of machine translation systems in a new way. It mainly addresses two questions: (1) How can business English correspondence chunks be defined in machine translation? (2) What are the correspondences between English-Chinese business letter chunks for machine translation? With the aid of a parallel corpus, qualitative and quantitative research methods, and the construction grammar theory, the book puts forward a theoretical model of chunk composition analysis. Further, the findings presented here can be used for the machine translation of English-Chinese business letters, helping to break down communication barriers and promote international business and exchanges.

Didactique du lexique, terminologie et linguistique de corpus sont les axes autour desquels s¿articule cette étude. Nous nous penchons, en particulier, sur l¿enseignement explicite et structuré du lexique spécialisé pour le français L2, en relation avec le développement non seulement de la compétence strictement terminologique, mais aussi avec la compétence « méta », relevant de la maîtrise du fonctionnement des termes. Après l¿identifi cation d¿un noyau de notions métaterminologiques, notre objectif principal est de proposer des pistes méthodologiques pour leur enseignement basé sur l¿exploitation des corpus spécialisés, dans la conviction qüune synergie effi cace peut s¿instaurer entre la compétence métaterminologique et l¿exploitation d¿une ressource numérique pour des fi ns didactiques. Des applications possibles sont proposées relativement au domaine du commerce.

This book brings together selected revised papers representing a multidisciplinary approach to language and literature. The collection presents studies performed using the methods of computational linguistics in accordance with the traditions of Russian linguistic and literary studies, primarily in line with the Leningrad (Petersburg) philological school. The book comprises the papers allocated into 2 sections discussing the study of corpora in language, translation, and literary studies and the use of computing in language teaching and translation and in emotional text processing. A unique feature of the presented collection is that the papers, compiled in one volume, allow readers to get an understanding of a wide range of research conducted in Saint Petersburg State University and other Russian leading scientific institutions. Both the classical tradition of Saint Petersburg philology and the results obtained with the help of new computer technologies as a sample of the symbiosisof technologies and traditions, which bring research to a qualitatively new level, arouse interest.

Computers are essential for the functioning of our society. Despite the incredible power of existing computers, computing technology is progressing beyond today's conventional models. Quantum Computing (QC) is surfacing as a promising disruptive technology. QC is built on the principles of quantum mechanics. QC can run algorithms that are not trivial to run on digital computers. QC systems are being developed for the discovery of new materials and drugs and improved methods for encoding information for secure communication over the Internet. Unprecedented new uses for this technology are bound to emerge from ongoing research.The development of conventional digital computing technology for the arts and humanities has been progressing in tandem with the evolution of computers since the 1950s. Today, computers are absolutely essential for the arts and humanities. Therefore, future developments in QC are most likely to impact on the way in which artists will create and perform, and how research in the humanities will be conducted.This book presents a comprehensive collection of chapters by pioneers of emerging interdisciplinary research at the crossroads of quantum computing, and the arts and humanities, from philosophy and social sciences to visual arts and music.Prof. Eduardo Reck Miranda is a composer and a professor in Computer Music at Plymouth University, UK, where he is a director of the Interdisciplinary Centre for Computer Music Research (ICCMR). His previous publications include the Springer titles Handbook of Artificial Intelligence for Music, Guide to Unconventional Computing for Music, Guide to Brain-Computer Music Interfacing and Guide to Computing for Expressive Music Performance.