Development of English-Hindi Interactive Machine Translation
Nidhi Sharma1, Shambhavi Seth2, Meenal Jain3, Mehvish Syed4, Nivedita Bharti5
1Nidhi Sharma*, Department of Computer Science, Banasthali Vidyapith, Rajasthan, India.
2Shambhavi Seth, Department of Computer Science, Banasthali Vidyapith, Rajasthan, India.
3Mehvish Syed, Department of Computer Science, Banasthali Vidyapith, Rajasthan, India.
4Meenal Jain, Department of Computer Science, Banasthali Vidyapith, Rajasthan India.
5Nivedita Bharti, Department of Computer Science, Banasthali Vidyapith, Rajasthan India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 4185-4189 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1532109119/2019©BEIESP | DOI: 10.35940/ijeat.A1532.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Machine Translation systems are still far from being perfect and to improve their performance the concept of Interactive Machine Translation (IMT) was introduced. This paper proposes an IMT system, which uses Statistical Machine Translation and a bilingual corpus on which several algorithms (Word error rate, Position Independent Error Rate, Translation Error Rate, n-grams) are implemented to translate text from English to Indian languages. The proposed system improves both the speed and productivity of the human translators as found through experiments.
Keywords: Machine Translation, Statistical Machine Translation, Computer Aided Translation, Interactive Machine Translation.