This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

Improving Word Translation via Two-Stage Contrastive Learning (ACL 2022). Keywords: Bilingual Lexicon Induction, Word Translation, Cross-Lingual Word Embeddings.

An observatory of anglicism usage in the Spanish press

Official Repository for the paper titled "Meta-Learning for Effective Multi-task and Multilingual Modelling" accepted at EACL 2021

[EMNLP 2022] Discovering Language-neutral Sub-networks in Multilingual Language Models.

A Large-scale Multilingual Benchmark Dataset for Automated Translation of Bangla Regional Dialects to Bangla Language

This study introduces MultiBanFakeDetect, a novel multimodal dataset for Bangla fake news detection, combining textual and visual information. It features TextFakeNet for text analysis and MultiFusionFake for integrating multimodal data.

Zero-shot and Translation Experiments on XQuAD, MLQA and TyDiQA

ICEBERT: Interlingual-Clusters Enhanced BERT. A BERT-like model trained on clusters of monolingual subwords.

This research examines Large Language Models in Bengali Natural Language Inference, comparing them with state-of-the-art models using the XNLI dataset.

ZeroShot XNLI

mBERT and XLM-R for encodeing of Scandinavian languages

Deployed model which can summarize Lithuanian language text by leveraging Artificial Neural Networks, Transformers, mBERT.

By using the hypothesis of historical linguistics, we found a way to improve the performance of multilingual transformers with limited amount of data

HASOC2021: Subtask 2 a) Codemix Challenge; Contains baselines and hierarchical approach that extracts the relevant context useful for classification of hostile tweets on English-Hindi code-mix data obtained from twitter.

Multilingual hate speech detection for German, Italian and Spanish Social Media Posts #machine learning #classifier

This is a project proposal to implement Yan et al.'s (2020) mBERT-Unaligned for cross-lingual RDs with Japanese, German and Italian untranslatable terms

This study presents a novel multimodal fusion technique for disaster identification in Bangla, combining text and image data using the "BanglaCalamityMMD" dataset. Employing DisasterTextNet, DisasterImageNet, and DisasterMultFusionNet, the approach addresses a key gap in Bangla disaster research.

Align Parallel Sentence of 104 Languages with the help of mBERT and LaBSE