Details

Autor(en) / Beteiligte

• Ahmad, Rashid
• Gupta, Priyank
• Vuppala, Nagaraju
• Pathak, Sanket Kumar
• Kumar, Ashutosh
• Soni, Gagan
• Kumar, Sravan
• Shrivastava, Manish
• Singh, Avinash K
• Gangwar, Arbind K
• Kumar, Pawan
• Sinha, Mukul K

Titel

Transzaar: Empowers Human Translators

Ist Teil von

• 2018 18th International Conference on Computational Science and Applications (ICCSA), 2018, p.1-8

Ort / Verlag

IEEE

Erscheinungsjahr

2018

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Xplore

Beschreibungen/Notizen

• In this paper, we describe Transzaar - an AI powered tool that offers computer aided translation (CAT) functionality: pre-translation analysis, post-editing machine translated content, translation prediction, text aligning, extensive logging and integration with several machine translation (MT) systems. Transzaar aids a human translator to perform various language processing tasks, viz., Translation, Transliteration, Localization, and other kinds of Text Analysis tasks. Using Transzaar, human translators can post-edit the machine translated content, to improve fluency and accuracy of the translated content to match the naturalness of human translation while delivering with better turn-around time.Transzaar aids the process of post-editing, thereby increasing the productivity of human translators by 2-3 folds within couple of months of usage for certain language pairs. It collects feedback continuously, which helps the MT system to further learn and improve periodically, with the additional new generated data-set.