Machine Translation and Transliteration Involving Related, Low-Resource Languages

ISBN-13: 9780367561994 / Angielski / Twarda / 2021 / 200 str.

Anoop Kunchukuttan; Pushpak Bhattacharyya

Opis

This book provides a fresh perspective by focussing on very important class of related languages. It will be relevant to graduate and advanced undergraduate students as well as professionals concerned with Machine Translation, Translation Studies, Natural Language Processing and Multilingual Computing.

Spis treści

Preface. Introduction. Past Work on MT for Related Languages. I Machine Translation. Utilizing Lexical Similarity by using Subword Translation Units. Improving Subword-level. Translation Quality. Subword-level Pivot-based SMT. A Case Study on Indic Language Translation. II Machine Transliteration. Utilizing Orthographic Similarity for Unsupervised Transliteration. Multilingual Neural Transliteration. Conclusion and Future Directions. Appendices. A Extended ITRANS Romanization Scheme. B Software and Data Resources. C Conferences/Workshops for Translation between Related Languages. Bibliography.