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IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages
For the scope of this task, we have built multilingual systems for 20 translation directions namely English-Indic (one-to- many) and Indic-English (many-to-one).
Efficient Multilingual Text Classification for Indian Languages
Can a classification model trained on one Indian language be reused for other Indian languages?
Multilingual Multi-Domain NMT for Indian Languages
India is known as the land of many tongues and dialects.
Geometry Depth Consistency in RGBD Relative Pose Estimation
Relative pose estimation for RGBD cameras is crucial in a number of applications.
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling
However, in healthcare where the number of contributing institutions are likely not of a colossal scale, computing exact SVs is still exorbitantly expensive, but not impossible.
How do different factors Impact the Inter-language Similarity? A Case Study on Indian languages
India is one of the most linguistically diverse nations of the world and is culturally very rich.
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages
Since the condition of large parallel corpora is not met for Indian-English language pairs, we present our efforts towards building efficient NMT systems between Indian languages (specifically Indo-Aryan languages) and English via efficiently exploiting parallel data from the related languages.
