Pushpak Bhattacharyya: Machine translation [Rezension]
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Machine Translation by Pushpak Bhattacharyya is a textbook for students who have a prior knowledge of core concepts of natural language processing and machine translation and are familiar with Indian languages. The book’s focus lies on illustrating the three main paradigms of MT, namely rule-based machine translation (RBMT), example-based machine translation (EBMT) and statistical machine translation (SMT), discussing them in the light of the properties of Indian languages, in particular Hindi, Sanskrit, Marathi, Bengali, Tamil and Manipuri, among others. The book is the first of its kind focusing on MT between Indian languages and those that are more widely discussed, e.g. English or German, and is therefore a highly laudable undertaking in working and teaching on the lesser-resourced languages in NLP. The book has seven chapters, each of which features a section on further reading, and is available in hard-copy and as ebook.
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HAUTLI-JANISZ, Annette, 2015. Pushpak Bhattacharyya: Machine translation. In: Machine Translation. 2015, 29(3), pp. 285-289. ISSN 0922-6567. eISSN 1573-0573. Available under: doi: 10.1007/s10590-015-9170-7BibTex
@article{HautliJanisz2015Pushp-43814, year={2015}, doi={10.1007/s10590-015-9170-7}, title={Pushpak Bhattacharyya: Machine translation}, number={3}, volume={29}, issn={0922-6567}, journal={Machine Translation}, pages={285--289}, author={Hautli-Janisz, Annette}, note={Is Review} }
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