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Found 8 papers, 0 papers with code
NIT Rourkela Machine Translation(MT) System Submission to WAT 2022 for MultiIndicMT: An Indic Language Multilingual Shared Task
Previous studies on multilingual translation reveal that multilingual training is effective for languages with limited corpus.
An approach for mistranslation removal from popular dataset for Indic MT Task
A baseline NMT system is built for these two ILs, and the effect of different dataset sizes is also investigated.
Multilingual Neural Machine Translation System for Indic to Indic Languages
To achieve this, English- Indic (EN-IL) models are also developed, with and without the usage of related languages.
Statistical Machine Translation for Indic Languages
Among various NLP methods, Statistical Machine Translation(SMT).
Improving Multilingual Neural Machine Translation System for Indic Languages
In this paper, we propose a MNMT system to address the issues related to low-resource language translation.
Deep learning based Hand gesture recognition system and design of a Human-Machine Interface
In our work, five pre-trained CNN (VGG16, VGG19, ResNet50, ResNet101, and Inception-V1) models and ViT have been employed to classify hand gesture images.
Part-of-Speech Tagging of Odia Language Using statistical and Deep Learning-Based Approaches
The deep learning-based model includes Bi-LSTM network, CNN network, CRF layer, character sequence information, and pre-trained word vector.
A Novel Hand Gesture Detection and Recognition system based on ensemble-based Convolutional Neural Network
In the last part, the output scores of CNN models are averaged to construct an optimal ensemble model for the final prediction.
