Abstract
Part-of-Speech (POS) tagging is the process of assigning a POS label to each of a sequence of words. It is also a lowest level of syntactic analysis and useful for many natural language processing (NLP) tasks such as subsequent syntactic parsing and word sense disambiguation. We developed an annotated corpus and POS tagger for Myanmar language based on back-propagation neural network (BPNN) model. In our experiments, BPNN model is trained with 3gram, 4gram and 5gram. The results show that the BPNN model with 4 g is able to achieve considerable higher F-scores on the POS tagging task than 3 g and 5 g models for both close and open test sets. Moreover, BPNN POS tagging approach performed better than proposed HMM with rule based.
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References
Zin, K.K.: Hidden markov model with rule based approach for part-of-speech tagging of Myanmar language. In: Proceedings of the 3rd International Conference on Communications and Information Technology, Vouliagmeni, Athens, Greece, pp. 123–128 (2009)
Myint, P.H., Htwe, T.M., Thein, N.L.: Bigram part-of-speech tagger for Myanmar language. In: Proceedings of 2011 International Conference on Information Communication and Management, Singapore, pp. 147–152 (2011)
Thu, Y.K., Tamura, A., Finch, A., Sumita, E., Sagisaka, Y.: Unsupervised POS tagging of low resource language for machine translation. In: Proceedings NLP2014, Hokkaido, Sapporo, Japan, pp. 590–593 (2014)
Tamura, A., Watanabe, T., Sumita, E.: Part-of-speech induction in dependency trees for statistical machine translation. In: Proceedings of ACL 2013, Sofia, Bulgaria, pp. 841–851 (2014)
Pa, W.P., Thu, Y.K., Finch, A., Sumita, E., Genetic, E.C.: Proceedings of the Ninth International Conference on Genetic and Evolutionary Computing, ICGEC2015, Yangon, Myanmar, 26–28 August 2015, vol. II, pp. 447–456 (2015)
Thadda, M.: Myanmar Language Commission. Ministry of Education, Myanmar (2005)
Thu, Y.K., Pa, W.P., Utiyama, M., Finch, A., Sumita, E.: Introducing the Asian Language Treebank (ALT). In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pp. 1574–1578, May 2016
Seppo, L.: The representation of the cumulative rounding error of an algorithm as a Taylor expansion of the local rounding errors. Master thesis, University of Helsinki (1970)
Seppo, L.: Taylor expansion of the accumulated rounding error. BIT Numer. Math. 16(2), 146–160. Kluwer Academic Publishers (1976)
Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. In: Neurocomputing: Foundations of Research, pp. 696–699. MIT Press (1988)
Rojas, R., Networks, N.: A Systematic Introduction. Springer, New York (1996)
The commerce journal (),http://www.commercejournal.com.mm
The wikipedia Myanmar. http://my.m.wikipedia.org
Burmese classic. http://www.burmeseclassic.com/
Online Burmar/Myanmar library. http://www.burmalibrary.org/show.php?cat=1449&lo=&sl=
The unicode standard 9.0 of Myanmar. http://www.unicode.org/charts/PDF/U1000.pdf
Yu, U.T.: September 2012
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Hnin, H.M., Pa, W.P., Thu, Y.K. (2017). Back-Propagation Neural Network Approach to Myanmar Part-of-Speech Tagging. In: Pan, JS., Lin, JW., Wang, CH., Jiang, X. (eds) Genetic and Evolutionary Computing. ICGEC 2016. Advances in Intelligent Systems and Computing, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-319-48490-7_25
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DOI: https://doi.org/10.1007/978-3-319-48490-7_25
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