Hybrid Machine Translation For Low Resource Languages

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Hybrid Machine Translation for Low-Resource Languages

George Joe
Hybrid Machine Translation for Low Resource Languages Book PDF

Author : George Joe
Publisher : Unknown
Page : 0 pages
File Size : 43,5 Mb
Release : 2023-11-02
Category : Art
ISBN : 9798868983412

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Hybrid Machine Translation for Low-Resource Languages by George Joe Pdf

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.

Hybrid Approaches to Machine Translation

Marta R. Costa-jussà,Reinhard Rapp,Patrik Lambert,Kurt Eberle,Rafael E. Banchs,Bogdan Babych
Hybrid Approaches to Machine Translation Book PDF

Author : Marta R. Costa-jussà,Reinhard Rapp,Patrik Lambert,Kurt Eberle,Rafael E. Banchs,Bogdan Babych
Publisher : Springer
Page : 205 pages
File Size : 48,5 Mb
Release : 2016-07-12
Category : Computers
ISBN : 9783319213118

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Hybrid Approaches to Machine Translation by Marta R. Costa-jussà,Reinhard Rapp,Patrik Lambert,Kurt Eberle,Rafael E. Banchs,Bogdan Babych Pdf

This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also – in the wider fields of Computational Linguistics, Machine Learning and Data Mining – to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.

Machine Translation and Transliteration Involving Related and Low-resource Languages

Anoop Kunchukuttan,Pushpak Bhattacharyya
Machine Translation and Transliteration Involving Related and Low resource Languages Book PDF

Author : Anoop Kunchukuttan,Pushpak Bhattacharyya
Publisher : Chapman & Hall/CRC
Page : 0 pages
File Size : 54,7 Mb
Release : 2021-08-12
Category : Computers
ISBN : 1003096778

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Machine Translation and Transliteration Involving Related and Low-resource Languages by Anoop Kunchukuttan,Pushpak Bhattacharyya Pdf

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, Low-resource Languages

Anoop Kunchukuttan,Pushpak Bhattacharyya
Machine Translation and Transliteration involving Related Low resource Languages Book PDF

Author : Anoop Kunchukuttan,Pushpak Bhattacharyya
Publisher : CRC Press
Page : 215 pages
File Size : 46,9 Mb
Release : 2021-09-08
Category : Computers
ISBN : 9781000422412

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Machine Translation and Transliteration involving Related, Low-resource Languages by Anoop Kunchukuttan,Pushpak Bhattacharyya Pdf

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.

Automatic Speech Recognition and Translation for Low Resource Languages

L. Ashok Kumar,D. Karthika Renuka,Bharathi Raja Chakravarthi,Thomas Mandl
Automatic Speech Recognition and Translation for Low Resource Languages Book PDF

Author : L. Ashok Kumar,D. Karthika Renuka,Bharathi Raja Chakravarthi,Thomas Mandl
Publisher : John Wiley & Sons
Page : 428 pages
File Size : 49,6 Mb
Release : 2024-03-28
Category : Computers
ISBN : 9781394214174

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Automatic Speech Recognition and Translation for Low Resource Languages by L. Ashok Kumar,D. Karthika Renuka,Bharathi Raja Chakravarthi,Thomas Mandl Pdf

AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity.

Automatic Speech Recognition and Translation for Low Resource Languages

L. Ashok Kumar,D. Karthika Renuka,Bharathi Raja Chakravarthi,Thomas Mandl
Automatic Speech Recognition and Translation for Low Resource Languages Book PDF

Author : L. Ashok Kumar,D. Karthika Renuka,Bharathi Raja Chakravarthi,Thomas Mandl
Publisher : John Wiley & Sons
Page : 500 pages
File Size : 43,7 Mb
Release : 2024-05-07
Category : Computers
ISBN : 9781394213580

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Automatic Speech Recognition and Translation for Low Resource Languages by L. Ashok Kumar,D. Karthika Renuka,Bharathi Raja Chakravarthi,Thomas Mandl Pdf

AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity.

Machine Learning and Data Mining in Pattern Recognition

Petra Perner
Machine Learning and Data Mining in Pattern Recognition Book PDF

Author : Petra Perner
Publisher : Springer
Page : 499 pages
File Size : 46,7 Mb
Release : 2018-07-09
Category : Computers
ISBN : 9783319961330

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

Computational Linguistics and Intelligent Text Processing

Alexander Gelbukh
Computational Linguistics and Intelligent Text Processing Book PDF

Author : Alexander Gelbukh
Publisher : Springer Science & Business Media
Page : 662 pages
File Size : 44,8 Mb
Release : 2007-02-07
Category : Computers
ISBN : 9783540709381

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Computational Linguistics and Intelligent Text Processing by Alexander Gelbukh Pdf

This book constitutes the refereed proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2007, held in Mexico City, Mexico in February 2007. The 53 revised full papers presented together with 3 invited papers cover all current issues in computational linguistics research and present intelligent text processing applications.

Machine Learning and Data Mining in Pattern Recognition

Petra Perner
Machine Learning and Data Mining in Pattern Recognition Book PDF

Author : Petra Perner
Publisher : Springer
Page : 0 pages
File Size : 47,9 Mb
Release : 2018-07-08
Category : Computers
ISBN : 3319961322

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Machine Learning and Data Mining in Pattern Recognition by Petra Perner Pdf

This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

Design Studies and Intelligence Engineering

L.C. Jain,V.E. Balas,Q. Wu
Design Studies and Intelligence Engineering Book PDF

Author : L.C. Jain,V.E. Balas,Q. Wu
Publisher : IOS Press
Page : 1126 pages
File Size : 53,9 Mb
Release : 2024-02-27
Category : Computers
ISBN : 9781643684895

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Design Studies and Intelligence Engineering by L.C. Jain,V.E. Balas,Q. Wu Pdf

The discipline of design studies applies various technologies, from basic theory to application systems, while intelligence engineering encompasses computer-aided industrial design, human-factor design, and greenhouse design, and plays a major part within design science. Intelligence engineering technologies also include topics from theory and application, such as computational technologies, sensing technologies, and video detection. This book presents the proceedings of DSIE2023, the 2023 International Symposium on Design Studies and Intelligence Engineering, held on 28 & 29 October 2023 in Hangzhou, China. The conference provides a platform for professionals and researchers from industry and academia to present and discuss recent advances in the fields of design studies and intelligence engineering. It also fosters cooperation among the organizations and researchers involved in these overlapping fields, and invites internationally renowned professors to further explore these topics in some depth, providing the opportunity for them to discuss the technical presentations with conference participants. In all, 275 submissions were received for the conference, 105 of which were accepted after thorough review by 3 or 4 referees for presentation at the conference and inclusion here. Providing a valuable overview of the latest developments, the book will be of interest to all those working in the fields of design studies and intelligence engineering.

Evaluation of Translation Technology

Walter Daelemans,Véronique Hoste
Evaluation of Translation Technology Book PDF

Author : Walter Daelemans,Véronique Hoste
Publisher : ASP / VUBPRESS / UPA
Page : 263 pages
File Size : 43,8 Mb
Release : 2010
Category : Computers
ISBN : 9789054876823

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Evaluation of Translation Technology by Walter Daelemans,Véronique Hoste Pdf

This collection of scholarly articles asks the question How useful is translation technology? Pointing to the need for a widely used and reliable way to test the efficiency of language translation programs, the presenters show that commercial tools such as translation memories and translation workbenches are popular, and their developers find them useful in terms of productivity, consistency, or quality. However, these claims are rarely proven using objective comparative studies, and this group describes several new statistical approaches to more rigorous evaluation methods. -- Product Description.

Machine Translation with Minimal Reliance on Parallel Resources

George Tambouratzis,Marina Vassiliou,Sokratis Sofianopoulos
Machine Translation with Minimal Reliance on Parallel Resources Book PDF

Author : George Tambouratzis,Marina Vassiliou,Sokratis Sofianopoulos
Publisher : Springer
Page : 88 pages
File Size : 50,8 Mb
Release : 2017-08-09
Category : Computers
ISBN : 9783319631073

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Machine Translation with Minimal Reliance on Parallel Resources by George Tambouratzis,Marina Vassiliou,Sokratis Sofianopoulos Pdf

This book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Statistical Machine Translation (SMT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER. Additionally, a free-to-use code is available, that allows the creation of new MT systems. The volume is addressed to both language professionals and researchers. Prerequisites for the readers are very limited and include a basic understanding of the machine translation as well as of the basic tools of natural language processing.​

Machine Translation: From Research to Real Users

Stephen D. Richardson
Machine Translation From Research to Real Users Book PDF

Author : Stephen D. Richardson
Publisher : Springer
Page : 258 pages
File Size : 46,7 Mb
Release : 2003-06-30
Category : Computers
ISBN : 9783540458203

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Machine Translation: From Research to Real Users by Stephen D. Richardson Pdf

AMTA 2002: From Research to Real Users Ever since the showdown between Empiricists and Rationalists a decade ago at TMI 92, MT researchers have hotly pursued promising paradigms for MT, including da- driven approaches (e.g., statistical, example-based) and hybrids that integrate these with more traditional rule-based components. During the same period, commercial MT systems with standard transfer archit- tures have evolved along a parallel and almost unrelated track, increasing their cov- age (primarily through manual update of their lexicons, we assume) and achieving much broader acceptance and usage, principally through the medium of the Internet. Webpage translators have become commonplace; a number of online translation s- vices have appeared, including in their offerings both raw and postedited MT; and large corporations have been turning increasingly to MT to address the exigencies of global communication. Still, the output of the transfer-based systems employed in this expansion represents but a small drop in the ever-growing translation marketplace bucket.

Language Engineering for Lesser-studied Languages

Sergei Nirenburg
Language Engineering for Lesser studied Languages Book PDF

Author : Sergei Nirenburg
Publisher : IOS Press
Page : 344 pages
File Size : 52,8 Mb
Release : 2009
Category : Computers
ISBN : 9781586039547

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Language Engineering for Lesser-studied Languages by Sergei Nirenburg Pdf

"Technologies enabling computers to process specific languages facilitate economic and political progress of societies where these languages are spoken. Development of methods and systems for language processing is therefore a worthy goal for national governments as well as for business entities and scientific and educational institutions in every country in the world. As work on systems and resources for the 'lower-density' languages becomes more widespread, an important question is how to leverage the results and experience accumulated by the field of computational linguistics for the major languages in the development of resources and systems for lower-density languages. This issue has been at the core of the NATO Advanced Studies Institute on language technologies for middle- and low-density languages held in Georgia in October 2007. This publication is a collection - of publication-oriented versions - of the lectures presented there and is a useful source of knowledge about many core facets of modern computational-linguistic work. By the same token, it can serve as a reference source for people interested in learning about strategies that are best suited for developing computational-linguistic capabilities for lesser-studied languages - either 'from scratch' or using components developed for other languages. The book should also be quite useful in teaching practical system- and resource-building topics in computational linguistics."--Site Web de l'éditeur.

Analysing English-Arabic Machine Translation

Zakaryia Almahasees
Analysing English Arabic Machine Translation Book PDF

Author : Zakaryia Almahasees
Publisher : Routledge
Page : 184 pages
File Size : 50,9 Mb
Release : 2021-11-30
Category : Language Arts & Disciplines
ISBN : 9781000472790

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Analysing English-Arabic Machine Translation by Zakaryia Almahasees Pdf

Machine Translation (MT) has become widely used throughout the world as a medium of communication between those who live in different countries and speak different languages. However, translation between distant languages constitutes a challenge for machines. Therefore, translation evaluation is poised to play a significant role in the process of designing and developing effective MT systems. This book evaluates three prominent MT systems, including Google Translate, Microsoft Translator, and Sakhr, each of which provides translation between English and Arabic. In the book Almahasees scrutinizes the capacity of the three systems in dealing with translation between English and Arabic in a large corpus taken from various domains, including the United Nation (UN), the World Health Organization (WHO), the Arab League, Petra News Agency reports, and two literary texts: The Old Man and the Sea and The Prophet. The evaluation covers holistic analysis to assess the output of the three systems in terms of Translation Automation User Society (TAUS) adequacy and fluency scales. The text also looks at error analysis to evaluate the systems’ output in terms of orthography, lexis, grammar, and semantics at the entire-text level and in terms of lexis, grammar, and semantics at the collocation level. The research findings contained within this volume provide important feedback about the capabilities of the three MT systems with respect to EnglishArabic translation and paves the way for further research on such an important topic. This book will be of interest to scholars and students of translation studies and translation technology.