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MacHine Translation Among Closely Related Languages

MacHine Translation Among Closely Related Languages
Author: Gurpreet Josan
Publisher: LAP Lambert Academic Publishing
Total Pages: 192
Release: 2010-09
Genre:
ISBN: 9783843350211

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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.


Machine Translation and Transliteration involving Related, Low-resource Languages

Machine Translation and Transliteration involving Related, Low-resource Languages
Author: Anoop Kunchukuttan
Publisher: CRC Press
Total Pages: 215
Release: 2021-09-08
Genre: Computers
ISBN: 1000422410

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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.


International Symposium on Computer and Information Sciences

International Symposium on Computer and Information Sciences
Author: Erol Gelenbe
Publisher: CRC Press
Total Pages: 439
Release: 2022-09-16
Genre: Computers
ISBN: 100065768X

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Papers from an October 2002 symposium describe research in areas including algorithms, artificial intelligence, computer graphics, computer networks, databases, evolutionary computation, graph theory, image processing, multimedia technology, software engineering, and software performance engineering


Machine Translation and Transliteration Involving Related and Low-resource Languages

Machine Translation and Transliteration Involving Related and Low-resource Languages
Author: Anoop Kunchukuttan
Publisher: Chapman & Hall/CRC
Total Pages: 0
Release: 2021-08-12
Genre: Computers
ISBN: 9781003096771

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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.


Similar Languages, Varieties, and Dialects

Similar Languages, Varieties, and Dialects
Author: Marcos Zampieri
Publisher: Cambridge University Press
Total Pages: 345
Release: 2021-04-30
Genre: Computers
ISBN: 1108584756

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Routledge Encyclopedia of Translation Technology

Routledge Encyclopedia of Translation Technology
Author: Chan Sin-wai
Publisher: Routledge
Total Pages: 958
Release: 2014-11-13
Genre: Foreign Language Study
ISBN: 1317608143

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The Routledge Encyclopedia of Translation Technology provides a state-of-the art survey of the field of computer-assisted translation. It is the first definitive reference to provide a comprehensive overview of the general, regional and topical aspects of this increasingly significant area of study. The Encyclopedia is divided into three parts: Part One presents general issues in translation technology, such as its history and development, translator training and various aspects of machine translation, including a valuable case study of its teaching at a major university; Part Two discusses national and regional developments in translation technology, offering contributions covering the crucial territories of China, Canada, France, Hong Kong, Japan, South Africa, Taiwan, the Netherlands and Belgium, the United Kingdom and the United States Part Three evaluates specific matters in translation technology, with entries focused on subjects such as alignment, bitext, computational lexicography, corpus, editing, online translation, subtitling and technology and translation management systems. The Routledge Encyclopedia of Translation Technology draws on the expertise of over fifty contributors from around the world and an international panel of consultant editors to provide a selection of articles on the most pertinent topics in the discipline. All the articles are self-contained, extensively cross-referenced, and include useful and up-to-date references and information for further reading. It will be an invaluable reference work for anyone with a professional or academic interest in the subject.


Chinese Computational Linguistics

Chinese Computational Linguistics
Author: Maosong Sun
Publisher: Springer Nature
Total Pages: 720
Release: 2019-10-14
Genre: Computers
ISBN: 3030323811

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This book constitutes the proceedings of the 18th China National Conference on Computational Linguistics, CCL 2019, held in Kunming, China, in October 2019. The 56 full papers presented in this volume were carefully reviewed and selected from 134 submissions. They were organized in topical sections named: linguistics and cognitive science, fundamental theory and methods of computational linguistics, information retrieval and question answering, text classification and summarization, knowledge graph and information extraction, machine translation and multilingual information processing, minority language processing, language resource and evaluation, social computing and sentiment analysis, NLP applications.


The Possibility of Language

The Possibility of Language
Author: Alan K. Melby
Publisher: John Benjamins Publishing
Total Pages: 301
Release: 1995
Genre: Language Arts & Disciplines
ISBN: 9027216142

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This book is about the limits of machine translation. It is widely recognized that machine translation systems do much better on domain-specific controlled-language texts (domain texts for short) than on dynamic general-language texts (general texts for short). The authors explore this general domain distinction and come to some uncommon conclusions about the nature of language. Domain language is claimed to be made possible by general language, while general language is claimed to be made possible by the ethical dimensions of relationships. Domain language is unharmed by the constraints of objectivism, while general language is suffocated by those constraints. Along the way to these conclusions, visits are made to Descartes and Saussure, to Chomsky and Lakoff, to Wittgenstein and Levinas. From these conclusions, consequences are drawn for machine translation and translator tools, for linguistic theory and translation theory. The title of the book does not question whether language is possible; it asks, with wonder and awe, why communication through language is possible.


Recharting Territories

Recharting Territories
Author: Gisele Dionísio da Silva
Publisher: Leuven University Press
Total Pages: 256
Release: 2022-09-15
Genre: Language Arts & Disciplines
ISBN: 9462703418

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Since the inception of Translation Studies in the 1970s, its researchers have held regular metareflections. Largely based on the assessment of translation and interpreting as two distinct but related modes of language mediation, each with its own research culture, these intradisciplinary debates have sought to take stock of the state of research within an ever-expanding discipline in search of (institutional) identity and autonomy. Recharting Territories proposes a more widespread and systematic intradisciplinary approach to researching translational phenomena, one which can be applied at various analytical levels – theoretical, conceptual, methodological, pragmatic – and emphasize both similarities and differences between subdisciplines. Such an approach, rather than consolidating a territorial attitude on the part of scholars, aims to raise awareness of the ever-shifting terrain on which Translation Studies stands.


Data Science

Data Science
Author: Xiaohui Cheng
Publisher: Springer Nature
Total Pages: 703
Release: 2019-09-13
Genre: Computers
ISBN: 9811501181

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This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application.