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Machine Translation And Transliteration Involving Related Low Resource Languages
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Book Synopsis Machine Translation and Transliteration Involving Related and Low-resource Languages by : Anoop Kunchukuttan
Download or read book Machine Translation and Transliteration Involving Related and Low-resource Languages written by Anoop Kunchukuttan and published by Chapman & Hall/CRC. This book was released on 2021-08-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Translation and Transliteration involving Related, Low-resource Languages by : Anoop Kunchukuttan
Download or read book Machine Translation and Transliteration involving Related, Low-resource Languages written by Anoop Kunchukuttan and published by CRC Press. This book was released on 2021-09-08 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Challenges for Arabic Machine Translation by : Abdelhadi Soudi
Download or read book Challenges for Arabic Machine Translation written by Abdelhadi Soudi and published by John Benjamins Publishing. This book was released on 2012-08-01 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first volume that focuses on the specific challenges of machine translation with Arabic either as source or target language. It nicely fills a gap in the literature by covering approaches that belong to the three major paradigms of machine translation: Example-based, statistical and knowledge-based. It provides broad but rigorous coverage of the methods for incorporating linguistic knowledge into empirical MT. The book brings together original and extended contributions from a group of distinguished researchers from both academia and industry. It is a welcome and much-needed repository of important aspects in Arabic Machine Translation such as morphological analysis and syntactic reordering, both central to reducing the distance between Arabic and other languages. Most of the proposed techniques are also applicable to machine translation of Semitic languages other than Arabic, as well as translation of other languages with a complex morphology.
Book Synopsis Addressing Issues of Learner Diversity in English Language Education by : Tran, Thao Quoc
Download or read book Addressing Issues of Learner Diversity in English Language Education written by Tran, Thao Quoc and published by IGI Global. This book was released on 2024-04-22 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Hybrid Machine Translation for Low-Resource Languages by : George Joe
Download or read book Hybrid Machine Translation for Low-Resource Languages written by George Joe and published by . This book was released on 2023-11-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book "Hybrid Machine Translation for Low-Resource Languages" authored by George Joe provides a comprehensive overview of the development and evaluation of hybrid machine translation systems for English to Indian languages under low-resource conditions. The book discusses the challenges faced in developing machine translation systems for low-resource languages and how hybrid approaches can be used to overcome these challenges. The author presents a detailed analysis of various hybrid machine translation techniques such as rule-based, statistical, and neural machine translation, and how these techniques can be integrated to improve translation quality and efficiency. The book also covers the use of machine learning techniques such as transfer learning and active learning to improve the performance of machine translation systems. The book provides numerous case studies and practical examples of the development and evaluation of hybrid machine translation systems for low-resource languages. The author also discusses the importance of creating parallel corpora for low-resource languages and the challenges involved in creating such corpora. This book is a valuable resource for researchers and practitioners working in the field of natural language processing, machine learning, and machine translation. It provides a comprehensive understanding of the challenges involved in developing machine translation systems for low-resource languages and the ways in which hybrid approaches can be used to overcome these challenges. It also highlights the importance of creating parallel corpora for low-resource languages to improve the performance of machine translation systems.
Book Synopsis Machine Translation Summit by : Makoto Nagao
Download or read book Machine Translation Summit written by Makoto Nagao and published by IOS Press. This book was released on 1989 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Translation: From Real Users to Research by : Robert E. Frederking
Download or read book Machine Translation: From Real Users to Research written by Robert E. Frederking and published by Springer Science & Business Media. This book was released on 2004-09-21 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: The previous conference in this series (AMTA 2002) took up the theme “From Research to Real Users”, and sought to explore why recent research on data-driven machine translation didn’t seem to be moving to the marketplace. As it turned out, the ?rst commercial products of the data-driven research movement were just over the horizon, andintheinterveningtwoyearstheyhavebeguntoappearinthemarketplace. Atthesame time,rule-basedmachinetranslationsystemsareintroducingdata-driventechniquesinto the mix in their products. Machine translation as a software application has a 50-year history. There are an increasing number of exciting deployments of MT, many of which will be exhibited and discussed at the conference. But the scale of commercial use has never approached the estimates of the latent demand. In light of this, we reversed the question from AMTA 2002, to look at the next step in the path to commercial success for MT. We took user needs as our theme, and explored how or whether market requirements are feeding into research programs. The transition of research discoveries to practical use involves te- nicalquestionsthatarenotassexyasthosethathavedriventheresearchcommunityand research funding. Important product issues such as system customizability, computing resource requirements, and usability and ?tness for particular tasks need to engage the creativeenergiesofallpartsofourcommunity,especiallyresearch,aswemovemachine translation from a niche application to a more pervasive language conversion process. Thesetopicswereaddressedattheconferencethroughthepaperscontainedinthesep- ceedings, and even more speci?cally through several invited presentations and panels.
Book Synopsis Empowering Low-Resource Languages With NLP Solutions by : Pakray, Partha
Download or read book Empowering Low-Resource Languages With NLP Solutions written by Pakray, Partha and published by IGI Global. This book was released on 2024-02-27 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 readersacademics, researchers, practitioners, and policymakerswith the tools, strategies, and ethical considerations needed to address the crisis facing low-resource languages.
Book Synopsis MacHine Translation Among Closely Related Languages by : Gurpreet Josan
Download or read book MacHine Translation Among Closely Related Languages written by Gurpreet Josan and published by LAP Lambert Academic Publishing. This book was released on 2010-09 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Translation has always been a challenging problem among the researchers. Work for the development of machine translation systems for Indian languages is still in infancy. Being a multi- lingual country, India needs such system for breaking the language barrier among Indian masses. Machine translation is not a trivial task by nature of translation process itself. But machine translation of closely related languages eases the task. Research in the field of machine translation of closely related languages faces major problems mainly related to the source text normalization, word sense disambiguation, transliteration, named entity recognition and transfer rules. The objective of this book is to addresses the problems in the various stages of the development of a direct machine translation system, keeping in view the language pair Punjabi and Hindi, and discusses potential solutions. This book should be especially useful to professionals and researchers who are doing research in Machine translation among closely related langauges.
Book Synopsis Computational Intelligence in Communications and Business Analytics by : Somnath Mukhopadhyay
Download or read book Computational Intelligence in Communications and Business Analytics written by Somnath Mukhopadhyay and published by Springer Nature. This book was released on 2022-07-21 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Translation by : Pushpak Bhattacharyya
Download or read book Machine Translation written by Pushpak Bhattacharyya and published by CRC Press. This book was released on 2015-02-04 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compares and contrasts the principles and practices of rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). Presenting numerous examples, the text introduces language divergence as the fundamental challenge to machine translation, emphasizes and works out word alignment, explores IBM models of machine translation, covers the mathematics of phrase-based SMT, provides complete walk-throughs of the working of interlingua-based and transfer-based RBMT, and analyzes EBMT, showing how translation parts can be extracted and recombined to automatically translate a new input.
Book Synopsis Computational Linguistics and Intelligent Text Processing by : Alexander Gelbukh
Download or read book Computational Linguistics and Intelligent Text Processing written by Alexander Gelbukh and published by Springer. This book was released on 2018-03-20 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Translation and Global Research by : Lynne Bowker
Download or read book Machine Translation and Global Research written by Lynne Bowker and published by Emerald Group Publishing. This book was released on 2019-05-01 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for scholars and librarians in the digital age. This book is a must-read for researchers and information professionals eager to maximize the global reach and impact of any form of scholarly work.
Book Synopsis The Fundamentals of Human and Machine Translations by : Isaak Iosifovich Revzin
Download or read book The Fundamentals of Human and Machine Translations written by Isaak Iosifovich Revzin and published by . This book was released on 1966 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis IAENG Transactions on Engineering Sciences by : Sio-Iong Ao
Download or read book IAENG Transactions on Engineering Sciences written by Sio-Iong Ao and published by World Scientific. This book was released on 2016-08-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Two large international conferences on Advances in Engineering Sciences were held in Hong Kong, March 18–20, 2015, under the International MultiConference of Engineers and Computer Scientists (IMECS 2015), and in London, UK, 1–3 July, 2015, under the World Congress on Engineering (WCE 2015) respectively. This volume contains 35 revised and extended research articles written by prominent researchers participating in the conferences. Topics covered include engineering mathematics, computer science, electrical engineering, manufacturing engineering, industrial engineering, and industrial applications. The book offers state-of-the-art advances in engineering sciences and also serves as an excellent reference work for researchers and graduate students working with/on engineering sciences.
Book Synopsis Machine Translation by : Thierry Poibeau
Download or read book Machine Translation written by Thierry Poibeau and published by MIT Press. This book was released on 2017-09-15 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and major players in the industry. The dream of a universal translation device goes back many decades, long before Douglas Adams's fictional Babel fish provided this service in The Hitchhiker's Guide to the Galaxy. Since the advent of computers, research has focused on the design of digital machine translation tools—computer programs capable of automatically translating a text from a source language to a target language. This has become one of the most fundamental tasks of artificial intelligence. This volume in the MIT Press Essential Knowledge series offers a concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and market potential. The main approaches are presented from a largely historical perspective and in an intuitive manner, allowing the reader to understand the main principles without knowing the mathematical details. The book begins by discussing problems that must be solved during the development of a machine translation system and offering a brief overview of the evolution of the field. It then takes up the history of machine translation in more detail, describing its pre-digital beginnings, rule-based approaches, the 1966 ALPAC (Automatic Language Processing Advisory Committee) report and its consequences, the advent of parallel corpora, the example-based paradigm, the statistical paradigm, the segment-based approach, the introduction of more linguistic knowledge into the systems, and the latest approaches based on deep learning. Finally, it considers evaluation challenges and the commercial status of the field, including activities by such major players as Google and Systran.
Book Synopsis Neural Machine Translation by : Philipp Koehn
Download or read book Neural Machine Translation written by Philipp Koehn and published by Cambridge University Press. This book was released on 2020-06-18 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
