Machine Translation and Transliteration involving Related, Low-resource Languages
Sobre aquest llibre
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.
Sobre l'autor
Dr. Anoop Kunchukuttan is a Senior Applied Researcher in the machine translation team at Microsoft India, Hyderabad. He received his Ph.D from the Indian Institute of Technology Bombay. He is broadly interested in natural language processing and machine learning. His research interests include multilingual learning, language relatedness, machine translation, machine transliteration and distributional semantics. He has also explored problems in information extraction, automated grammar correction, multiword expressions and crowdsourcing for NLP. These works have been published in top-tier Natural Language Processing (NLP) conferences and journals. He is passionate about building software and resources for NLP in Indian languages. He actively develops and maintains the Indic NLP Library and the Indic NLP Catalog, and has contributed to the development of resources like the AI4Bharat Indic NLP Suite and the IIT Bombay parallel corpus. He is a co-organizer of the Workshop on Asian Translation and a co-founder of the AI4Bharat NLP Initiative.
Dr. Pushpak Bhattacharyya is Professor of Computer Science and Engineering Department 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. His textbook ‘Machine Translation’ sheds light on all paradigms of machine translation with abundant examples from Indian Languages. Two recent monographs co-authored by him called 'Investigations in Computational Sarcasm' and 'Cognitively Inspired Natural Language Processing- An Investigation Based on Eye Tracking' describe cutting edge research in NLP and ML. Prof. Bhattacharyya is Fellow of Indian National Academy of Engineering (FNAE) and Abdul Kalam National Fellow. For sustained contribution to technology he received the Manthan Award of the Ministry of IT, P.K. Patwardhan Award of IIT Bombay and VNMM Award of IIT Roorkey. He is also a Distinguished Alumnus of IIT Kharagpur and past President of Association of Computational Linguistics.
