Search Results for author: Alok Singh

Found 13 papers, 3 papers with code

On the Transferability of Massively Multilingual Pretrained Models in the Pretext of the Indo-Aryan and Tibeto-Burman Languages

no code implementations ICON 2021 Salam Michael Singh, Loitongbam Sanayai Meetei, Alok Singh, Thoudam Doren Singh, Sivaji Bandyopadhyay

In recent times, machine translation models can learn to perform implicit bridging between language pairs never seen explicitly during training and showing that transfer learning helps for languages with constrained resources.

Machine Translation Transfer Learning +1

An Experiment on Speech-to-Text Translation Systems for Manipuri to English on Low Resource Setting

no code implementations ICON 2021 Loitongbam Sanayai Meetei, Laishram Rahul, Alok Singh, Salam Michael Singh, Thoudam Doren Singh, Sivaji Bandyopadhyay

Based on this dataset, a benchmark evaluation is reported for the Manipuri-English Speech-to-Text translation using two approaches: 1) a pipeline model consisting of ASR (Automatic Speech Recognition) and Machine translation, and 2) an end-to-end Speech-to-Text translation.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies

no code implementations18 May 2022 Deepak Chaurasiya, Anil Surisetty, Nitish Kumar, Alok Singh, Vikrant Dey, Aakarsh Malhotra, Gaurav Dhama, Ankur Arora

We further create an open-source repository for $14$ embedding-based EA methods and present the analysis for invoking further research motivations in the field of EA.

Benchmarking Entity Alignment +1

A Reinforcement Learning Environment for Mathematical Reasoning via Program Synthesis

1 code implementation15 Jul 2021 Joseph Palermo, Johnny Ye, Alok Singh

We convert the DeepMind Mathematics Dataset into a reinforcement learning environment by interpreting it as a program synthesis problem.

Mathematical Reasoning Program Synthesis +2

An encoder-decoder based framework for hindi image caption generation

no code implementations Multimedia Tools and Applications 2021 Alok Singh, Thoudam Doren Singh, Sivaji Bandyopadhyay

The model is tested over Hindi visual genome dataset to validate the proposed approach’s performance and cross-verification is carried out for English captions with Flickr dataset.

Hindi Image Captioning

A Comprehensive Review on Recent Methods and Challenges of Video Description

no code implementations30 Nov 2020 Alok Singh, Thoudam Doren Singh, Sivaji Bandyopadhyay

In this work, we report a comprehensive survey on the phases of video description approaches, the dataset for video description, evaluation metrics, open competitions for motivating the research on the video description, open challenges in this field, and future research directions.

Machine Translation Video Description +1

NITS-VC System for VATEX Video Captioning Challenge 2020

no code implementations7 Jun 2020 Alok Singh, Thoudam Doren Singh, Sivaji Bandyopadhyay

Video captioning is process of summarising the content, event and action of the video into a short textual form which can be helpful in many research areas such as video guided machine translation, video sentiment analysis and providing aid to needy individual.

Machine Translation Sentiment Analysis +3

A novel automatic shot boundary detection algorithm: robust to illumination and motion effect

1 code implementation Signal, Image and Video Processing volume 2019 Alok Singh, Dalton Meitei Thounaojam & Saptarshi Chakraborty

Many researches have been done on shot boundary detection, but the performance of shot boundary detection approaches is yet to be addressed for the videos having sudden illumination and object/camera motion effects efficiently.

Boundary Detection Camera shot boundary detection

Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows

no code implementations17 Apr 2018 Alok Singh, Eric Stephan, Malachi Schram, Ilkay Altintas

In this vision paper, we outline our approach to leveraging Deep Learning algorithms to discover solutions to unique problems that arise in a system with computational infrastructure that is spread over a wide area.

Anomaly Detection Distributed Computing

Modular Resource Centric Learning for Workflow Performance Prediction

no code implementations15 Nov 2017 Alok Singh, Mai Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas

The central idea of this work is to train resource-centric machine learning agents to capture complex relationships between a set of program instructions and their performance metrics when executed on a specific resource.

BIG-bench Machine Learning Distributed Computing +1

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