The Making and Breaking of Classification Models in Linguistics

The Making and Breaking of Classification Models in Linguistics

Author: Jane Klavan

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2024-06-04

Total Pages: 250

ISBN-13: 3110668467

DOWNLOAD EBOOK

The book provides a methodological blueprint for the study of constructional alternations – using corpus-linguistic methods in combination with different types of experimental data. The book looks at a case study from Estonian. This morphologically rich language is typologically different from Indo-European languages such as English. Corpus-based studies allow us to detect patterns in the data and determine what is typical in the language. Experiments are needed to determine the upper and lower limits of human classification behaviour. They give us an idea of what is possible in a language and show how human classification behaviour is susceptible to more variation than corpus-based models lead us to believe. Corpora and forced choice data tell us that when we produce language, we prefer one construction. Acceptability judgement data tell us that when we comprehend language, we judge both constructions as acceptable. The book makes a theoretical contribution to the what, why, and how of constructional alternations.


Book Synopsis The Making and Breaking of Classification Models in Linguistics by : Jane Klavan

Download or read book The Making and Breaking of Classification Models in Linguistics written by Jane Klavan and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-06-04 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a methodological blueprint for the study of constructional alternations – using corpus-linguistic methods in combination with different types of experimental data. The book looks at a case study from Estonian. This morphologically rich language is typologically different from Indo-European languages such as English. Corpus-based studies allow us to detect patterns in the data and determine what is typical in the language. Experiments are needed to determine the upper and lower limits of human classification behaviour. They give us an idea of what is possible in a language and show how human classification behaviour is susceptible to more variation than corpus-based models lead us to believe. Corpora and forced choice data tell us that when we produce language, we prefer one construction. Acceptability judgement data tell us that when we comprehend language, we judge both constructions as acceptable. The book makes a theoretical contribution to the what, why, and how of constructional alternations.

The Making and Breaking of Classification Models in Linguistics

The Making and Breaking of Classification Models in Linguistics

Author: Jane Klavan

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2024-06-04

Total Pages: 262

ISBN-13: 3110665182

DOWNLOAD EBOOK

The book provides a methodological blueprint for the study of constructional alternations – using corpus-linguistic methods in combination with different types of experimental data. The book looks at a case study from Estonian. This morphologically rich language is typologically different from Indo-European languages such as English. Corpus-based studies allow us to detect patterns in the data and determine what is typical in the language. Experiments are needed to determine the upper and lower limits of human classification behaviour. They give us an idea of what is possible in a language and show how human classification behaviour is susceptible to more variation than corpus-based models lead us to believe. Corpora and forced choice data tell us that when we produce language, we prefer one construction. Acceptability judgement data tell us that when we comprehend language, we judge both constructions as acceptable. The book makes a theoretical contribution to the what, why, and how of constructional alternations.


Book Synopsis The Making and Breaking of Classification Models in Linguistics by : Jane Klavan

Download or read book The Making and Breaking of Classification Models in Linguistics written by Jane Klavan and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-06-04 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a methodological blueprint for the study of constructional alternations – using corpus-linguistic methods in combination with different types of experimental data. The book looks at a case study from Estonian. This morphologically rich language is typologically different from Indo-European languages such as English. Corpus-based studies allow us to detect patterns in the data and determine what is typical in the language. Experiments are needed to determine the upper and lower limits of human classification behaviour. They give us an idea of what is possible in a language and show how human classification behaviour is susceptible to more variation than corpus-based models lead us to believe. Corpora and forced choice data tell us that when we produce language, we prefer one construction. Acceptability judgement data tell us that when we comprehend language, we judge both constructions as acceptable. The book makes a theoretical contribution to the what, why, and how of constructional alternations.

Breaking the Language Barrier: Demystifying Language Models with OpenAI

Breaking the Language Barrier: Demystifying Language Models with OpenAI

Author: Rayan Wali

Publisher: Rayan Wali

Published: 2023-03-08

Total Pages: 301

ISBN-13:

DOWNLOAD EBOOK

Breaking the Language Barrier: Demystifying Language Models with OpenAI is an informative guide that covers practical NLP use cases, from machine translation to vector search, in a clear and accessible manner. In addition to providing insights into the latest technology that powers ChatGPT and other OpenAI language models, including GPT-3 and DALL-E, this book also showcases how to use OpenAI on the cloud, specifically on Microsoft Azure, to create scalable and efficient solutions.


Book Synopsis Breaking the Language Barrier: Demystifying Language Models with OpenAI by : Rayan Wali

Download or read book Breaking the Language Barrier: Demystifying Language Models with OpenAI written by Rayan Wali and published by Rayan Wali. This book was released on 2023-03-08 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breaking the Language Barrier: Demystifying Language Models with OpenAI is an informative guide that covers practical NLP use cases, from machine translation to vector search, in a clear and accessible manner. In addition to providing insights into the latest technology that powers ChatGPT and other OpenAI language models, including GPT-3 and DALL-E, this book also showcases how to use OpenAI on the cloud, specifically on Microsoft Azure, to create scalable and efficient solutions.

Artificial Intelligence

Artificial Intelligence

Author: Sergei M. Kovalev

Publisher: Springer Nature

Published: 2021-10-04

Total Pages: 381

ISBN-13: 3030868559

DOWNLOAD EBOOK

This book constitutes the proceedings of the 19th Russian Conference on Artificial Intelligence, RCAI 2021, held in Moscow, Russia, in October 2021. The 19 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The conference deals with a wide range of topics, categorized into the following topical headings: cognitive research; data mining, machine learning, classification; knowledge engineering; multi-agent systems and robotics; natural language processing; fuzzy models and soft computer; intelligent systems; and tools for designing intelligent systems.


Book Synopsis Artificial Intelligence by : Sergei M. Kovalev

Download or read book Artificial Intelligence written by Sergei M. Kovalev and published by Springer Nature. This book was released on 2021-10-04 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th Russian Conference on Artificial Intelligence, RCAI 2021, held in Moscow, Russia, in October 2021. The 19 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The conference deals with a wide range of topics, categorized into the following topical headings: cognitive research; data mining, machine learning, classification; knowledge engineering; multi-agent systems and robotics; natural language processing; fuzzy models and soft computer; intelligent systems; and tools for designing intelligent systems.

Language Classification by Numbers

Language Classification by Numbers

Author: April McMahon

Publisher: Oxford University Press

Published: 2005-11-24

Total Pages: 284

ISBN-13: 0199279012

DOWNLOAD EBOOK

This book considers how languages have traditionally been divided into families, and asks how they should be classified in the future. It tests current theories and hypotheses, shows how new ideas can be formulated, and offers a series of demonstrations that the new techniques applied to old data can produce convincing results. It will be of great practical interest to all those concerned with the classification and diffusion of languages in fields such as comparative linguistics,archaeology, genetics, and anthropology.


Book Synopsis Language Classification by Numbers by : April McMahon

Download or read book Language Classification by Numbers written by April McMahon and published by Oxford University Press. This book was released on 2005-11-24 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers how languages have traditionally been divided into families, and asks how they should be classified in the future. It tests current theories and hypotheses, shows how new ideas can be formulated, and offers a series of demonstrations that the new techniques applied to old data can produce convincing results. It will be of great practical interest to all those concerned with the classification and diffusion of languages in fields such as comparative linguistics,archaeology, genetics, and anthropology.

Linguistics across Disciplinary Borders

Linguistics across Disciplinary Borders

Author: Steven Coats

Publisher: Bloomsbury Publishing

Published: 2024-01-11

Total Pages: 184

ISBN-13: 135036228X

DOWNLOAD EBOOK

This volume highlights the ways in which recent developments in corpus linguistics and natural language processing can engage with topics across language studies, humanities and social science disciplines. New approaches have emerged in recent years that blur disciplinary boundaries, facilitated by factors such as the application of computational methods, access to large data sets, and the sharing of code, as well as continual advances in technologies related to data storage, retrieval, and processing. The “march of data” denotes an area at the border region of linguistics, humanities, and social science disciplines, but also the inevitable development of the underlying technologies that drive analysis in these subject areas. Organized into 3 sections, the chapters are connected by the underlying thread of linguistic corpora: how they can be created, how they can shed light on varieties or registers, and how their metadata can be utilized to better understand the internal structure of similar resources. While some chapters in the volume make use of well-established existing corpora, others analyze data from platforms such as YouTube, Twitter or Reddit. The volume provides insight into the diversity of methods, approaches, and corpora that inform our understanding of the “border regions” between the realms of data science, language/linguistics, and social or cultural studies.


Book Synopsis Linguistics across Disciplinary Borders by : Steven Coats

Download or read book Linguistics across Disciplinary Borders written by Steven Coats and published by Bloomsbury Publishing. This book was released on 2024-01-11 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume highlights the ways in which recent developments in corpus linguistics and natural language processing can engage with topics across language studies, humanities and social science disciplines. New approaches have emerged in recent years that blur disciplinary boundaries, facilitated by factors such as the application of computational methods, access to large data sets, and the sharing of code, as well as continual advances in technologies related to data storage, retrieval, and processing. The “march of data” denotes an area at the border region of linguistics, humanities, and social science disciplines, but also the inevitable development of the underlying technologies that drive analysis in these subject areas. Organized into 3 sections, the chapters are connected by the underlying thread of linguistic corpora: how they can be created, how they can shed light on varieties or registers, and how their metadata can be utilized to better understand the internal structure of similar resources. While some chapters in the volume make use of well-established existing corpora, others analyze data from platforms such as YouTube, Twitter or Reddit. The volume provides insight into the diversity of methods, approaches, and corpora that inform our understanding of the “border regions” between the realms of data science, language/linguistics, and social or cultural studies.

Natural Language Processing

Natural Language Processing

Author: Yue Zhang

Publisher: Cambridge University Press

Published: 2021-01-07

Total Pages: 487

ISBN-13: 1108349773

DOWNLOAD EBOOK

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.


Book Synopsis Natural Language Processing by : Yue Zhang

Download or read book Natural Language Processing written by Yue Zhang and published by Cambridge University Press. This book was released on 2021-01-07 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.

Handbook of Language Analysis in Psychology

Handbook of Language Analysis in Psychology

Author: Morteza Dehghani

Publisher: Guilford Publications

Published: 2022-03-02

Total Pages: 650

ISBN-13: 1462548431

DOWNLOAD EBOOK

Recent years have seen an explosion of interest in the use of computerized text analysis methods to address basic psychological questions. This comprehensive handbook brings together leading language analysis scholars to present foundational concepts and methods for investigating human thought, feeling, and behavior using language. Contributors work toward integrating psychological science and theory with natural language processing (NLP) and machine learning. Ethical issues in working with natural language data sets are discussed in depth. The volume showcases NLP-driven techniques and applications in areas including interpersonal relationships, personality, morality, deception, social biases, political psychology, psychopathology, and public health.


Book Synopsis Handbook of Language Analysis in Psychology by : Morteza Dehghani

Download or read book Handbook of Language Analysis in Psychology written by Morteza Dehghani and published by Guilford Publications. This book was released on 2022-03-02 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen an explosion of interest in the use of computerized text analysis methods to address basic psychological questions. This comprehensive handbook brings together leading language analysis scholars to present foundational concepts and methods for investigating human thought, feeling, and behavior using language. Contributors work toward integrating psychological science and theory with natural language processing (NLP) and machine learning. Ethical issues in working with natural language data sets are discussed in depth. The volume showcases NLP-driven techniques and applications in areas including interpersonal relationships, personality, morality, deception, social biases, political psychology, psychopathology, and public health.

Computational Linguistics

Computational Linguistics

Author: Le-Minh Nguyen

Publisher: Springer Nature

Published: 2020-07-01

Total Pages: 525

ISBN-13: 9811561680

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, held in Hanoi, Vietnam, in October 2019. The 28 full papers and 14 short papers presented were carefully reviewed and selected from 70 submissions. The papers are organized in topical sections on text summarization; relation and word embedding; machine translation; text classification; web analyzing; question and answering, dialog analyzing; speech and emotion analyzing; parsing and segmentation; information extraction; and grammar error and plagiarism detection.


Book Synopsis Computational Linguistics by : Le-Minh Nguyen

Download or read book Computational Linguistics written by Le-Minh Nguyen and published by Springer Nature. This book was released on 2020-07-01 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, held in Hanoi, Vietnam, in October 2019. The 28 full papers and 14 short papers presented were carefully reviewed and selected from 70 submissions. The papers are organized in topical sections on text summarization; relation and word embedding; machine translation; text classification; web analyzing; question and answering, dialog analyzing; speech and emotion analyzing; parsing and segmentation; information extraction; and grammar error and plagiarism detection.

Nominal Classification

Nominal Classification

Author: Marcin Kilarski

Publisher: John Benjamins Publishing Company

Published: 2013-12-18

Total Pages: 421

ISBN-13: 9027270902

DOWNLOAD EBOOK

This book offers the first comprehensive survey of the study of gender and classifiers throughout the history of Western linguistics. Based on an analysis of over 200 genetically and typologically diverse languages, the author shows that these seemingly arbitrary and redundant categories play in fact a central role in the lexicon, grammar and the organization of discourse. As a result, the often contradictory approaches to their functionality and semantic motivation encapsulate the evolving conceptions of such issues as cognitive and cultural correlates of linguistic structure, the diverse functions of grammatical categories, linguistic complexity, agreement phenomena and the interplay between lexicon and grammar. The combination of a typological and historiographic perspective adopted here allows the reader to appreciate the detail and insight of earlier, supposedly ‘prescientific’ accounts in light of the data now available and to examine contemporary discussions in the context of prevailing conceptions in the study of language at different points in its history since antiquity.


Book Synopsis Nominal Classification by : Marcin Kilarski

Download or read book Nominal Classification written by Marcin Kilarski and published by John Benjamins Publishing Company. This book was released on 2013-12-18 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the first comprehensive survey of the study of gender and classifiers throughout the history of Western linguistics. Based on an analysis of over 200 genetically and typologically diverse languages, the author shows that these seemingly arbitrary and redundant categories play in fact a central role in the lexicon, grammar and the organization of discourse. As a result, the often contradictory approaches to their functionality and semantic motivation encapsulate the evolving conceptions of such issues as cognitive and cultural correlates of linguistic structure, the diverse functions of grammatical categories, linguistic complexity, agreement phenomena and the interplay between lexicon and grammar. The combination of a typological and historiographic perspective adopted here allows the reader to appreciate the detail and insight of earlier, supposedly ‘prescientific’ accounts in light of the data now available and to examine contemporary discussions in the context of prevailing conceptions in the study of language at different points in its history since antiquity.