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Morphological Analysis of Telugu Language Using Apertium


Affiliations
1 Department of Computer Science and Engineering, KMIT, Hyderabad, Telangana, India
2 KMIT, Hyderabad, Telangana, India
3 KMIT, Hyderabad, India
 

In Natural Language Processing a concept called Machine Translation which is used to perform translation between Natural Languages. As we know that Dravidian Languages are mostly spoken in India, hence our research contribution mainly focuses on one of the Dravidian Languages (i.e. Telugu language) using the concept built on a long term use and understanding of a Rule-based open source Machine Translator called Apertium. Our work is carried out till second module within the eight modules of Apertium Machine Translator i.e. De-formatter and Morphological Analysers module. The text input is given to first module and generated output which will be used as an input to the second module and so on till the last module to get the expected translation of the language, using Apertium in reference with Telugu language, which is well spoken in the two southern states of India i.e. Telangana and Andhra Pradesh.
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  • Morphological Analysis of Telugu Language Using Apertium

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Authors

Siddhartha Ghosh
Department of Computer Science and Engineering, KMIT, Hyderabad, Telangana, India
U. R. S. Kalyani
KMIT, Hyderabad, Telangana, India
Sujata M. Thamke
KMIT, Hyderabad, India

Abstract


In Natural Language Processing a concept called Machine Translation which is used to perform translation between Natural Languages. As we know that Dravidian Languages are mostly spoken in India, hence our research contribution mainly focuses on one of the Dravidian Languages (i.e. Telugu language) using the concept built on a long term use and understanding of a Rule-based open source Machine Translator called Apertium. Our work is carried out till second module within the eight modules of Apertium Machine Translator i.e. De-formatter and Morphological Analysers module. The text input is given to first module and generated output which will be used as an input to the second module and so on till the last module to get the expected translation of the language, using Apertium in reference with Telugu language, which is well spoken in the two southern states of India i.e. Telangana and Andhra Pradesh.