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A Shallow Parser-based Hindi to Odia Machine Translation System

  • Jyotirmayee RautarayEmail author
  • Asutosh Hota
  • Sai Sankar Gochhayat
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 711)

Abstract

This paper describes a Hindi to Odia machine translation system developed using a popular open-source platform called Apertium. With population of over 1.27 billion, 18 officially recognized languages, 30 regional languages, and over 2000 dialects, the multilingual society of India needs well-developed ICT tools for the citizens to exchange and share information and knowledge between them easily. Though Hindi is the national language of India, still a lot of people of Odisha are unable to understand the information written in Hindi. In this scenario, a suitable Hindi to Odia machine translation system will help the people to understand and use Hindi in a more productive way. For development of such a machine translation system, we decided to use the Apertium platform due to several reasons. It is well suited for building machine translation systems between closely related language pairs, such as Hindi and Odia due to its shallow parser level transfer modules. The use of FST in all the modules makes this much faster as compared to other shallow parser-based platforms. Also, it is available in GPL license under free open-source software. In this paper, we have also demonstrated the linguistic and computational challenges in building linguistic resources for both Hindi and Odia languages. Specifically, the use of TAM (Tense, Aspect, and Modality) concept in transfer module is a unique approach for building transfer rules between Hindi and Odia in Apertium platform. This work can be easily extended to develop MT systems for other Indian language pairs easily.

Keywords

Apertium Hindi Odia TAM Anusaaraka Transfer rules Bilingual dictionaries 

Notes

Acknowledgements

The authors would like to thank Prof. Vineet Chaitanya for giving the basic insights to develop the system. We are thankful to Mr. Sriram Chaudhury (Asst. Prof., KIIT University) for his continuous support and guidance. We are also thankful to IIIT-Hyderabad, Hyderabad Central University and the Apertium group for facilitating us with useful tools and linguistic resources for the successful development of this system.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Jyotirmayee Rautaray
    • 1
    Email author
  • Asutosh Hota
    • 1
  • Sai Sankar Gochhayat
    • 1
  1. 1.Department of Computer Science and EngineeringCollege of Engineering and TechnologyBhubaneswarIndia

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