
Localizing content and producing originals to the English content that too in real time were
the challenges here. The idea was to create an API that could translate English content in
real time, followed by internal QA, before the articles got pushed in local languages.
With the rise in the number of people using vernacular languages for news consumption,
loads of information can be stored, translated and transmitted between cultures and
countries. For this case, the most important task in hand was to break through the language
barriers. Outside being multilingual, one of the ways to solve this case was by leveraging
machine translation and related technologies to translate between various regional
languages.
The KPT team was able to leverage machine language translation by using neural networks.
This enhanced the efficiency and quality of translation methods. Multiple articles were
shared with us. The team evaluated the baseline quality, followed by in-depth customization
of baseline engine to specifically suit client’s requirement. Post the machine translation, the
linguist team at KPT edited and proof read all the articles before it went for publishing.
Challenge:
Solution
Source Text
Translation Memory
Machine Translation
Final Translation
Target Text
Output
Post
Editing