Machine Translation And Transliteration Involving Related Low Resource Languages

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Machine Translation And Transliteration Involving Related Low Resource Languages

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Author : Anoop Kunchukuttan
language : en
Publisher: CRC Press
Release Date : 2021-08-12

Machine Translation And Transliteration Involving Related Low Resource Languages written by Anoop Kunchukuttan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-12 with Computers categories.

Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting. This is a very relevant real-world scenario for people living in neighbouring states/provinces/countries who speak similar languages and need to communicate with each other, but training data to build supporting MT systems is limited. The book discusses different characteristics of related languages with rich examples and draws connections between two problems: translation for related languages and transliteration. It shows how linguistic similarities can be utilized to learn MT systems for related languages with limited data. It comprehensively discusses the use of subword-level models and multilinguality to utilize these linguistic similarities. The second part of the book explores methods for machine transliteration involving related languages based on multilingual and unsupervised approaches. Through extensive experiments over a wide variety of languages, the efficacy of these methods is established. Features Novel methods for machine translation and transliteration between related languages, supported with experiments on a wide variety of languages. An overview of past literature on machine translation for related languages. A case study about machine translation for related languages between 10 major languages from India, which is one of the most linguistically diverse country in the world. The book presents important concepts and methods for machine translation involving related languages. In general, it serves as a good reference to NLP for related languages. It is intended for students, researchers and professionals interested in Machine Translation, Translation Studies, Multilingual Computing Machine and Natural Language Processing. It can be used as reference reading for courses in NLP and machine translation. Anoop Kunchukuttan is a Senior Applied Researcher at Microsoft India. His research spans various areas on multilingual and low-resource NLP. Pushpak Bhattacharyya is a Professor at the Department of Computer Science, IIT Bombay. His research areas are Natural Language Processing, Machine Learning and AI (NLP-ML-AI). Prof. Bhattacharyya has published more than 350 research papers in various areas of NLP.

Machine Translation And Transliteration Involving Related And Low Resource Languages

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Author : Anoop Kunchukuttan
language : en
Publisher: Chapman & Hall/CRC
Release Date : 2021-08-12

Machine Translation And Transliteration Involving Related And Low Resource Languages written by Anoop Kunchukuttan and has been published by Chapman & Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-12 with Computers categories.

Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting. This is a very relevant real-world scenario for people living in neighbouring states/provinces/countries who speak similar languages and need to communicate with each other, but training data to build supporting MT systems is limited. The book discusses different characteristics of related languages with rich examples and draws connections between two problems: translation for related languages and transliteration. It shows how linguistic similarities can be utilized to learn MT systems for related languages with limited data. It comprehensively discusses the use of subword-level models and multilinguality to utilize these linguistic similarities. The second part of the book explores methods for machine transliteration involving related languages based on multilingual and unsupervised approaches. Through extensive experiments over a wide variety of languages, the efficacy of these methods is established. Features Novel methods for machine translation and transliteration between related languages, supported with experiments on a wide variety of languages. An overview of past literature on machine translation for related languages. A case study about machine translation for related languages between 10 major languages from India, which is one of the most linguistically diverse country in the world. The book presents important concepts and methods for machine translation involving related languages. In general, it serves as a good reference to NLP for related languages. It is intended for students, researchers and professionals interested in Machine Translation, Translation Studies, Multilingual Computing Machine and Natural Language Processing. It can be used as reference reading for courses in NLP and machine translation. Anoop Kunchukuttan is a Senior Applied Researcher at Microsoft India. His research spans various areas on multilingual and low-resource NLP. Pushpak Bhattacharyya is a Professor at the Department of Computer Science, IIT Bombay. His research areas are Natural Language Processing, Machine Learning and AI (NLP-ML-AI). Prof. Bhattacharyya has published more than 350 research papers in various areas of NLP.

Addressing Issues Of Learner Diversity In English Language Education

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Author : Tran, Thao Quoc
language : en
Publisher: IGI Global
Release Date : 2024-04-22

Addressing Issues Of Learner Diversity In English Language Education written by Tran, Thao Quoc and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Language Arts & Disciplines categories.

In the dynamic context of English language education, learners bring many differences in identity, motivation, engagement, ability, and more. Addressing Issues of Learner Diversity in English Language Education recognizes that traditional, one-size-fits-all approaches to language education are insufficient in meeting the needs of a varied and global learner population. It grapples with effectively teaching English to individuals with diverse linguistic backgrounds, learning styles, and cultural contexts. The challenges range from learner autonomy and motivation issues to navigating mixed-level classes and integrating technology into language teaching. Drawing on current research trends and cutting-edge methodologies, this book captures the diverse voices of contributors from various ESL/EFL settings, offering context-specific solutions to the myriad challenges faced in language education. The book illuminates the nuanced phenomena within English language education; it showcases innovative theoretical frameworks and up-to-date research findings. By addressing learners as singular individuals and collectives, the publication guides educators in enhancing individual competencies and maximizing the potential of each learner.

The Routledge Handbook Of Translation Technology And Society

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Author : Stefan Baumgarten
language : en
Publisher: Taylor & Francis
Release Date : 2025-08-27

The Routledge Handbook Of Translation Technology And Society written by Stefan Baumgarten and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-27 with Language Arts & Disciplines categories.

The Routledge Handbook of Translation Technology and Society offers the first comprehensive and critical exploration of translation technologies in the context of globalised multilingual societies within an increasingly AI-dominated world. This handbook calls for a fundamental rethinking of traditional approaches to translation, examining the ethical, ideological, socioeconomic, and environmental implications of digital tools and practices, such as professional AI-driven translation, ‘everyday’ machine translation, crowdsourcing translation, or platform-based translation work. It provides deep insights into pressing issues such as the commodification of language, inclusivity in so called low-resource languages, data colonialism, and labour exploitation. By questioning conventional science narratives and advocating for sustainable, inclusive, and equitable applications of translation technologies, this handbook empowers readers to engage critically with current trends and challenges in the digital age. Readers will benefit from an interdisciplinary approach that combines novel theoretical foundations with empirical research and practical case studies. It serves as a foundational reference and a springboard for (critical) future research in an evolving – sociotechnical – translation ecosystem where the blurring boundaries between human and machinic agents foster new modes of translator-machine interaction. This handbook is an essential resource for academics, researchers, and professionals in translation studies, digital humanities, science and technology studies, or (digital) discourse studies.

Empowering Low Resource Languages With Nlp Solutions

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Author : Pakray, Partha
language : en
Publisher: IGI Global
Release Date : 2024-02-27

Empowering Low Resource Languages With Nlp Solutions written by Pakray, Partha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Computers categories.

In our increasingly interconnected world, low-resource languages face the threat of oblivion. These linguistic gems, often spoken by marginalized communities, are at risk of fading away due to limited data and resources. The neglect of these languages not only erodes cultural diversity but also hinders effective communication, education, and social inclusion. Academics, practitioners, and policymakers grapple with the urgent need for a comprehensive solution to preserve and empower these vulnerable languages. Empowering Low-Resource Languages With NLP Solutions is a pioneering book that stands as the definitive answer to the pressing problem at hand. It tackles head-on the challenges that low-resource languages face in the realm of Natural Language Processing (NLP). Through real-world case studies, expert insights, and a comprehensive array of topics, this book equips its readers—academics, researchers, practitioners, and policymakers—with the tools, strategies, and ethical considerations needed to address the crisis facing low-resource languages.

Computational Intelligence In Communications And Business Analytics

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Author : Somnath Mukhopadhyay
language : en
Publisher: Springer Nature
Release Date : 2022-07-21

Computational Intelligence In Communications And Business Analytics written by Somnath Mukhopadhyay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-21 with Computers categories.

This book constitutes the refereed proceedings of the 4th International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2022, held in Silchar, India, in January 2022. The 21 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 107 submissions. The papers are organized in topical sections on computational intelligence; computational intelligence in communication; and computational intelligence in analytics.

Language Intelligence

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Author : Akshi Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-15

Language Intelligence written by Akshi Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Computers categories.

Thorough review of foundational concepts and advanced techniques in natural language processing (NLP) and its impact across sectors Supported by examples and case studies throughout, Language Intelligence provides an in-depth exploration of the latest advancements in natural language processing (NLP), offering a unique blend of insight on theoretical foundations, practical applications, and future directions in the field. Comprised of 10 chapters, this book provides a thorough understanding of both foundational concepts and advanced techniques, starting with an overview of the historical development of NLP and essential mechanisms of Natural Language Understanding (NLU) and Natural Language Generation (NLG). It delves into the data landscape crucial for NLP, emphasizing ethical considerations, and equips readers with fundamental text processing techniques. The book also discusses linguistic features central to NLP and explores computational and cognitive approaches that enrich the field’s advancement. Practical applications and advanced processing techniques across various sectors like healthcare, legal, finance, and education are showcased, along with a critical examination of NLP metrics and methods for evaluation. The appendices offer detailed explorations of text representation methods, advanced applications, and Python’s NLP capabilities, aiming to inform, inspire, and ignite a passion for NLP in the ever-expanding digital universe. Written by a highly qualified academic with significant research experience in the field, Language Intelligence covers topics including: Fundamental text processing, covering text cleaning, sentence splitting, tokenization, lemmatization and stemming, stop-word removal, part-of-speech tagging, and parsing and syntactic analysis Computational and cognitive approaches, covering human-like reasoning, transfer learning, and learning with minimal examples Affective, psychological, and content analysis, covering sentiment analysis, emotion recognition, irony, humour, and sarcasm detection, and indicators of distress Multilingual natural language processing, covering translation and transliteration, cross-lingual models and embeddings, low-resource language processing, and cultural nuance and idiom recognition Language Intelligence is an ideal reference for professionals across sectors and graduate students in related programs of study who have a foundational understanding of computer science, linguistics, and artificial intelligence looking to delve deeper into the intricacies of NLP.

Computational Linguistics And Intelligent Text Processing

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Author : Alexander Gelbukh
language : en
Publisher: Springer
Release Date : 2018-03-20

Computational Linguistics And Intelligent Text Processing written by Alexander Gelbukh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-20 with Computers categories.

The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff’s Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications.

Language Studies In India

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Author : Rajesh Kumar
language : en
Publisher: Springer Nature
Release Date : 2023-04-24

Language Studies In India written by Rajesh Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-24 with Philosophy categories.

This book addresses a wide range of aspects of the study of language in a variety of domains such as cognition, change, acquisition, structure, philosophy, politics, and education. It offers a renewed discussion on normative understanding of these concepts and opens up avenues for a fresh look at these concepts. Each contribution in this book captures a wide range of perspectives and underlines the vigorous role of language, which happens to be central to the arguments contained therein. The uniqueness of this book lies in the fact that it presents simplified perspective on various complex aspects of language. It addresses a wide range of audiences, who do not necessarily need to have a technical background in linguistics. It focuses on complex relations between language and cognition, politics, education to name a few with reference to cognition, change, and acquisition. This book is for researchers with an interest in the field of language studies, applied linguistics, and socio-linguistics.

Machine Intelligence And Data Science Applications

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Author : Amar Ramdane-Cherif
language : en
Publisher: Springer Nature
Release Date : 2023-09-01

Machine Intelligence And Data Science Applications written by Amar Ramdane-Cherif and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-01 with Technology & Engineering categories.

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles—Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.