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2018 | OriginalPaper | Chapter

Neural Machine Translation System for Indic Languages Using Deep Neural Architecture

Authors : Parth Shah, Vishvajit Bakarola, Supriya Pati

Published in: Smart and Innovative Trends in Next Generation Computing Technologies

Publisher: Springer Singapore

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Abstract

Translating into an Indic language is a challenging task. Indic languages are based on Sanskrit and have rich and diverse grammar. Due to its vast grammar, it requires very large number of complex rules for creating traditional rule based machine translation system. In this work, we have created an Indic machine translation system that utilize recent advancement in the area of machine translation using deep neural architectures. Results presented in this article shows that using neural machine translation we can achieve more natural translation for indic languages such as Hindi that was previously not efficiently possible with rule based or phrase based translation systems.

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previous chapter Deep Convolutional Neural Network for Handwritten Tamil Character Recognition Using Principal Component Analysis

Sheridan, P.: Research in language translation on the IBM type 701. IBM Tech. Newslett. 9, 5–24 (1955)

Lawson, V. (ed.): Practical Experience of Machine Translation. North-Holland Publishing Company, Amsterdam (1982)

Durand, J., Bennett, P., Allegranza, V., van Eynde, F., Humphreys, L., Schmidt, P., Steiner, E.: The Eurotra linguistic specifications: an overview. Mach. Transl. 6(2), 103–147 (1991). https://doi.org/10.1007/BF00417680CrossRef

Vauquois, B.: A survey of formal grammars and algorithms for recognition and transformation in mechanical translation. In: IFIP Congress (2), pp. 1114–1122 (1968). http://dblp.uni-trier.de/db/conf/ifip/ifip1968-2.html

Naskar, S., Bandyopadhyay, S.: Use of machine translation in India: current status. In: Proceedings of MT SUMMIT X, Phuket, Thailand, pp. 13–15 (2005)

Wu, Y., Schuster, M., Chen, Z., Le, Q.V., Norouzi, M., Macherey, W., Krikun, M., Cao, Y., Gao, Q., Macherey, K., Klingner, J., Shah, A., Johnson, M., Liu, X., Kaiser, L., Gouws, S., Kato, Y., Kudo, T., Kazawa, H., Stevens, K., Kurian, G., Patil, N., Wang, W., Young, C., Smith, J., Riesa, J., Rudnick, A., Vinyals, O., Corrado, G., Hughes, M., Dean, J.: Google’s neural machine translation system: bridging the gap between human and machine translation. CoRR abs/1609.08144 (2016). http://arxiv.org/abs/1609.08144

Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N.D., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 27, pp. 3104–3112. Curran Associates, Inc. (2014). http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf

Bojar, O., Diatka, V., Rychlý, P., Straňák, P., Suchomel, V., Tamchyna, A., Zeman, D.: HindEnCorp-Hindi-English and Hindi-only corpus for machine translation. In: Chair, N.C.C., Choukri, K., Declerck, T., Loftsson, H., Maegaard, B., Mariani, J., Moreno, A., Odijk, J., Piperidis, S. (eds.) Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014). European Language Resources Association (ELRA), Reykjavik (2014)

Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., et al.: TensorFlow: large-scale machine learning on heterogeneous distributed systems. arXiv preprint (2016). arXiv:1603.04467

10.

Chen, S., Beeferman, D., Rosenfeld, R.: Evaluation metrics for language models. In: DARPA Broadcast News Transcription and Understanding Workshop, pp. 275–280 (1998)

Title: Neural Machine Translation System for Indic Languages Using Deep Neural Architecture
Authors: Parth Shah
Vishvajit Bakarola
Supriya Pati
Publisher: Springer Singapore
Book: Smart and Innovative Trends in Next Generation Computing Technologies
Print ISBN: 978-981-10-8656-4

Electronic ISBN: 978-981-10-8657-1

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-981-10-8657-1_62

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