Abstract
This paper is based on the Evaluation of English-to-Urdu Machine Translation. Evaluation measures the quality characteristic of the Machine Translation output and is based on two approaches: Human Evaluation and Automatic Evaluation. In this paper, we are mainly concentrating over Human Evaluation. Machine Translation is an emerging research area in which human beings play a very crucial role. Since language is so vast and because of its diverse nature, the accuracy is not maintained. To maintain this accuracy, Human Evaluation is taken as a base. Human Evaluation can be used with different parameters to judge the quality of sentences.
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Gupta, V., Joshi, N., Mathur, I. (2014). Evaluation of English-to-Urdu Machine Translation. In: Mohapatra, D.P., Patnaik, S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, vol 243. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1665-0_33
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DOI: https://doi.org/10.1007/978-81-322-1665-0_33
Publisher Name: Springer, New Delhi
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