Project delivered to Google Customer - Research Square
Research Square - ML Model to translate bad english to good-english
Input: English language document consisting of sentences
Output: Generated document with medical paper english
Time period: Model building 2017
Project Context
Research Square (RS) helps researchers publish research papers. The RS team receives approximately 1500 submissions each week. The RS team spend $7-8M annual on the editing steps. They want to use Machine Learning (ML) to translate bad english to good english (editor english). Using ML Model, RS can also build a AI product for english improvement & transform their business in publishing.
Research Square signed engagement with google ML team for building MVP (Minimum viable product) of translation model.
Outcome
Built model
Later deployed model