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Found 7 papers, 1 papers with code
PICT@WAT 2022: Neural Machine Translation Systems for Indic Languages
For the respective translations of English to Malayalam, Bengali, and Hindi, we obtained BLEU scores of 19. 50, 32. 90, and 41. 80 for the challenge subset and 30. 60, 39. 80, and 42. 90 on the benchmark evaluation subset data.
Robust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathi
While sentiment analysis research has been extensively conducted in English and other Western languages, there exists a significant gap in research efforts for sentiment analysis in low-resource languages.
L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models
The exploration of sentiment analysis in low-resource languages, such as Marathi, has been limited due to the availability of suitable datasets.
Implementing Deep Learning-Based Approaches for Article Summarization in Indian Languages
The research on text summarization for low-resource Indian languages has been limited due to the availability of relevant datasets.
Hierarchical Neural Network Approaches for Long Document Classification
Along with the hierarchical approaches, this work also provides a comparison of different deep learning algorithms like USE, BERT, HAN, Longformer, and BigBird for long document classification.
Comparative Study of Long Document Classification
We re-iterate that long document classification is a simpler task and even basic algorithms perform competitively with BERT-based approaches on most of the datasets.
Evaluating Deep Learning Approaches for Covid19 Fake News Detection
These platforms have led to an increase in the creation and spread of fake news.
