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Malayalam to English Translation: A Statistical Approach

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Innovations in Bio-Inspired Computing and Applications (IBICA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 939))

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Abstract

The English language is international language and Malayalam is a morphologically rich language. Malayalam sentence consist of root or stem word with extra suffixes. The Malayalam language uses diverse order of word as distinguish to the language English. Due to the morphological richness of Malayalam leads very few approaches for developing translation system. These approaches are divided into rule based approach and corpus based approach. Statistical machine translation model takes large set of bilingual corpus and monolingual corpus for training. The bilingual corpus contains source sentence and corresponding target sentence. The statistical approach contains translation model, language model and decoder. The translation model assign the probability of Malayalam-English sentence pair based on the maximum likelihood estimation. The decoder is the main step of statistical machine translation. It’s find the best target sentence by choosing the highest probability from the product of the translation model and language model.

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References

  1. Nair, L.R., David Peter, S., Ravindran, R.P.: Design and development of Malayalam to English translaor a transfer based approach, vol. 3 (2012)

    Google Scholar 

  2. Anju, E.S., Manoj Kumar, K.V.: Malayalam to English machine translation: an EBMT system, vol. 2, pp. 18–23 (2014)

    Google Scholar 

  3. Aasha, V.C., Ganesh, A.: Machine translation from English to Malayalam using transfer approach. IEEE (2015)

    Google Scholar 

  4. Nair, A.T., Idicula, S.M.: Syntactic based machine translation from English to Malayalam, pp. 198–202. IEEE (2012)

    Google Scholar 

  5. Sebastian, M.P., Sheena Kurian, K., Santhosh Kumar, G.: English to Malayalam translation: a statistical approach. In: Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India, p. 64. ACM (2010)

    Google Scholar 

  6. Haroon, R.P., Shaharban, T.A.: Malayalam machine translation using hybrid approach. In: International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) (2016)

    Google Scholar 

  7. Jayan, J.P., Rajeev, R., Rajendran, S.: Morphological analyser and morphological generator for Malayalam-Tamil machine translation. Int. J. Comput. Appl. (0975 – 8887) 13(8) (2011)

    Google Scholar 

  8. Rajeev, R., Sherly, E.: A suffix Stripping based morph analyser for Malayalam language. In: Proceedings of 20th Kerala Science Congress, pp. 482–484, 28–31 (2008)

    Google Scholar 

  9. Nithya, B., Joseph, S.: A hybrid approach to English to Malayalam machine translation. Int. J. Comput. Appl. (0975 – 8887) 81(8) (2013)

    Google Scholar 

  10. Anisree, P.G., Radhika, K.T.: A hybrid translator: from Malayalam to English. Int. Res. J. Eng. Technol. (IRJET) 03(07) (2016). e-ISSN 2395-0056

    Google Scholar 

  11. Koehn, P.: Moses: open source toolkit for statistical machine translation. In: The Proceedings of the ACL, pp. 177–180, June 2007

    Google Scholar 

  12. George, A.: English to Malayalam statistical machine translation system. Int. J. Eng. Res. Technol. (IJERT) 2(7) (2013)

    Google Scholar 

  13. Sanchez-Cartagena, V.M., Sanchez-Martınez, F., Perez-Ortiz, J.A.: Integrating shallow-transfer rules into phrase-based statistical machine translation. Transducens Research Group Departament de Llenguatges i Sistemes Informatics Universitat d’Alacant, E-03071

    Google Scholar 

  14. Imamura, K., Okuma, H., Watanabe, T., Sumita, E.: Example-based machine translation based on syntactic transfer with statistical models. ATR Spoken Language Translation Research Laboratories 2-2-2 Hikaridai

    Google Scholar 

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Author information

Authors and Affiliations

  1. Computer Science and Engineering, RIT, Kottayam, India

    Blessy B. John & N. V. Sobhana

  2. AU-KBC Research Centre, Anna University, Chennai, India

    L. Sobha

  3. College of Engineering Kallooppara, Pathanamthitta, India

    T. Rajkumar

Authors
  1. Blessy B. John
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  2. N. V. Sobhana
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  3. L. Sobha
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  4. T. Rajkumar
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Corresponding author

Correspondence to Blessy B. John .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

  3. Department of Applied Science and Engineering, Indian Institute of Technology, Roorkee, India

    Millie Pant

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John, B.B., Sobhana, N.V., Sobha, L., Rajkumar, T. (2019). Malayalam to English Translation: A Statistical Approach. In: Abraham, A., Gandhi, N., Pant, M. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2018. Advances in Intelligent Systems and Computing, vol 939. Springer, Cham. https://doi.org/10.1007/978-3-030-16681-6_23

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