4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2021★ 4 cited
Detecting over/under-translation errors for determining adequacy in human translations
Prabhakar Gupta, Ridha Juneja, Anil Nelakanti +1
We present a novel approach to detecting over and under translations (OT/UT) as part of adequacy error checks in translation evaluation. We do not restrict ourselves to machine tra…
cs.CL2020★ 1 cited
DeepSubQE: Quality estimation for subtitle translations
Prabhakar Gupta, Anil Nelakanti
Quality estimation (QE) for tasks involving language data is hard owing to numerous aspects of natural language like variations in paraphrasing, style, grammar, etc. There can be m…
cs.CV2017★ 3 cited
Object-Level Context Modeling For Scene Classification with Context-CNN
Syed Ashar Javed, Anil Kumar Nelakanti
Convolutional Neural Networks (CNNs) have been used extensively for computer vision tasks and produce rich feature representation for objects or parts of an image. But reasoning ab…