Cross-lingual language model (XLM) provides a strong pretraining method for cross-lingual understanding (XLU) tasks. In what follows, we present applications to machine translation (unsupervised and supervised) and cross-lingual classification (XNLI). ...
Compression of Massively Multilingual Translation Modelsfor Offline Operation Assistive Interfaces for Enhancing and Evaluating Data Collection(Coming Soon!) Table of Contents Data Models Transformer-Suite RNN-Suite Data Hindi-Gondi Parallel Corpus
The MMLU benchmark is available in several languages, including Arabic, Bengali, Chinese, French, German, Hindi, Indonesian, Italian, Japanese, Korean, Portuguese, Spanish, Swahili, and Yoruba. MMLU is a benchmark to evaluate whether a model can understand and process human language, or, in ot...
Chitrarth: A multilingual Vision Language Model (VLM) trained primarily on multilingual image-text data and is designed to work across 10 prominent Indian languages, including Hindi, Bengali, Telugu, Tamil, Marathi, Gujarati, Kannada, Malayalam, Odia, and Assamese, as well as English. Dhwani: E...
This project addresses the problem of sentiment analysis on Twitter. The goal of this project was to predict sentiment for the given Twitter post using Python. Sentiment analysis can predict many different emotions attached to the text, but in this repor