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Handling of Infinitives in English to Sanskrit Machine Translation

Handling of Infinitives in English to Sanskrit Machine Translation

Vimal Mishra, R. B. Mishra
Copyright: © 2010 |Volume: 1 |Issue: 3 |Pages: 16
ISSN: 1947-3087|EISSN: 1947-3079|EISBN13: 9781609609535|DOI: 10.4018/jalr.2010070101
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MLA

Mishra, Vimal, and R. B. Mishra. "Handling of Infinitives in English to Sanskrit Machine Translation." IJALR vol.1, no.3 2010: pp.1-16. http://doi.org/10.4018/jalr.2010070101

APA

Mishra, V. & Mishra, R. B. (2010). Handling of Infinitives in English to Sanskrit Machine Translation. International Journal of Artificial Life Research (IJALR), 1(3), 1-16. http://doi.org/10.4018/jalr.2010070101

Chicago

Mishra, Vimal, and R. B. Mishra. "Handling of Infinitives in English to Sanskrit Machine Translation," International Journal of Artificial Life Research (IJALR) 1, no.3: 1-16. http://doi.org/10.4018/jalr.2010070101

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Abstract

The development of Machine Translation (MT) system for ancient language like Sanskrit is a fascinating and challenging task. In this paper, the authors handle the infinitive type of English sentences in the English to Sanskrit machine translation (EST) system. The EST system is an integrated model of a rule-based approach of machine translation with Artificial Neural Network (ANN) model that translates an English sentence (source sentence) into the equivalent Sanskrit sentence (target sentence). The authors use feed forward ANN for the selection of Sanskrit words, such as nouns, verbs, objects, and adjectives, from English to Sanskrit User Data Vector (UDV). Due to morphological richness of Sanskrit, this system uses only morphological markings to identify Subject, Object, Verb, Preposition, Adjective, Adverb, Conjunctive and as well as an infinitive types of sentence. The performance evaluations of our EST system with different methods of MT evaluations are shown using a table.

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