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Found 8 papers, 1 papers with code
Towards Offensive Language Identification for Dravidian Languages
Offensive speech identification in countries like India poses several challenges due to the usage of code-mixed and romanized variants of multiple languages by the users in their posts on social media.
Sentiment Analysis of Dravidian Code Mixed Data
With datasets of code-mixed Tamil and Malayalam available, three methods are proposed - a sub-word level model, a word embedding based model and a machine learning based architecture.
NLPHut’s Participation at WAT2021
Our submission tops in English→Malayalam Multimodal translation task (text-only translation, and Malayalam caption), and ranks second-best in English→Hindi Multimodal translation task (text-only translation, and Hindi caption).
Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution)
This paper describes the team (“Tamalli”)’s submission to AmericasNLP2021 shared task on Open Machine Translation for low resource South American languages.
Rhetorical Role Labeling of Legal Documents using Transformers and Graph Neural Networks
A legal document is usually long and dense requiring human effort to parse it.
BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers
Code-Mixed text data consists of sentences having words or phrases from more than one language.
Fake News Detection: Experiments and Approaches beyond Linguistic Features
Easier access to the internet and social media has made disseminating information through online sources very easy.
Character aware models with similarity learning for metaphor detection
We participate in the Second Shared Task on Metaphor Detection on both the VUA and TOFEL datasets with the above models.
