Computational and corpus linguistics

This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins.

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries.

The success of predictive large language models (PLLMs) like GPT3 and ChatGPT has created both enthusiasts and skeptics of their widespread practical applications, but this book argues that the larger significance of such models is contained in what they suggest about human cognition.

Applying Natural Language Processing (NLP) concepts to help humans in their daily life, this book discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement.

Applying Natural Language Processing (NLP) concepts to help humans in their daily life, this book discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement.

This Element provides a systematic overview of corpus-based studies into second language collocation learning and use.

This Element provides a systematic overview of corpus-based studies into second language collocation learning and use.

An in-depth digital investigation of several 18th-century British corpora, this book identifies shared communities of meaning in the printed British 18th century by highlighting and analysing patterns in the distribution of lexis.

An in-depth digital investigation of several 18th-century British corpora, this book identifies shared communities of meaning in the printed British 18th century by highlighting and analysing patterns in the distribution of lexis.

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The Routledge International Handbook of Automated Essay Evaluation (AEE) is a definitive guide at the intersection of automation, artificial intelligence, and education.

This book discusses key issues of corpus linguistics like the definition of the corpus, primary features of a corpus, and utilization and limitations of corpora.

This handbook provides a comprehensive account of current research on the finite-state morphology of Georgian and enables the reader to enter quickly into Georgian morphosyntax and its computational processing.

This handbook draws together international perspectives on technology and its application to language teaching and learning, written and edited by leading scholars in the field.

Research writing and teaching is a great challenge for novice scholars, especially L2 writers.

This book explores how and in what ways the relationship between language, mind and computation can be conceived of, given that a number of foundational assumptions about this relationship remain unacknowledged in mainstream linguistic theory, yet continue to be the basis of theoretical developments and empirical advances.

Combining corpus linguistics, critical discourse analysis, and a discourse analysis of narratives, this book considers one aspect of the Brexit process: the language that journalists, politicians and individuals used to write and talk about what it means to be British and European around the time of Brexit.

From using machine learning to shave seconds off translations, to using natural language processing for accurate real-time translation services, this book covers all the aspects.

Latin paradigms are almost proverbially known, and they have often been used as a test case for different theoretical approaches to morphological complexity.

This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language.

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 advances the growing area of language policy and planning (LPP) by examining the epistemological and theoretical foundations that engendered and sustain the field, drawing on insights and approaches from anthropology, linguistics, economics, political science, and education to create an accessible and inter-disciplinary overview of LPP as a coherent discipline.

This book presents the latest developments in translation and interpreting (T&I), which has been at the forefront to face the challenges brought by COVID-19.

This book presents recent advances in NLP and speech technology, a topic attracting increasing interest in a variety of fields through its myriad applications, such as the demand for speech guided touchless technology during the Covid-19 pandemic.

Taking a multi-theoretical approach, this book offers the first in-depth study of the function and development of evaluative of-binomials.

In recent years, online social networking has revolutionized interpersonal communication.

This book describes interdisciplinary exploration of matters related to the translation and interpreting of legal texts.

This book assesses the place of logic, mathematics, and computer science in present day, interdisciplinary areas of computational linguistics.

This handbook draws together international perspectives on technology and its application to language teaching and learning, written and edited by leading scholars in the field.

This book enables readers to interrogate the technical, rhetorical, theoretical, and socio-ethical challenges and opportunities involved in the development and adoption of augmentation technologies and artificial intelligence.

This book enables readers to interrogate the technical, rhetorical, theoretical, and socio-ethical challenges and opportunities involved in the development and adoption of augmentation technologies and artificial intelligence.

In this Element, the authors introduce and apply a framework for the linguistic analysis of fake news.

Specialists in quantitative linguistics the world over have recourse to a solid and universal methodology.

Contrastive Linguistics is an expanding field, as witnessed by the publication in recent years of an increasing number of monographs, collected volumes and journal articles.

The correct interpretation of Multiword Units (MWUs) is crucial to many applications in Natural Language Processing but is a challenging and complex task.