Machine Translation ( MT) is the task of automatically converting one natural language to another, preserving the meaning of the input text, and producing fluent text in the output language. I have tried to collect and curate some publications form Arxiv that related to the multi-lingual machine translation for low resource language, and the results were listed here. Please enjoy it!
Visual Question Answering (VQA) is a recent topic in computer vision and natural language processing that has attracted a great deal of attention from deep learning, computer vision and natural language processing communities.. I have tried to collect and curate some publications form Arxiv that related to the visual question answering, and the results were listed here. Please enjoy it!
Sentiment analysis is the area which deals with judgments, responses as well as feelings, which is generated from texts, being extensively used in fields like data mining, web mining, and social media analytics because sentiments are the most essential characteristics to judge the human behavior. I have tried to collect and curate some publications form Arxiv that related to the sentiment analysis using neural networks, and the results were listed here. Please enjoy it!
I have tried to collect and curate some Python-based Github repository linked to the machine translation task, and the results were listed here. Please enjoy it to support your research about developing machine translation model using Python!
Question Answering (QA) Systems is an automated approach to retrieve correct responses to the questions asked by human in natural language. I have tried to collect and curate some publications form Arxiv that related to question answering dataset, and the results were listed here. Please enjoy it!