csebuetnlp

xl-sum

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.

banglabert

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 Chapter of the Association for Computational Linguistics: NAACL-2022.

banglanmt

This repository contains the code and data of the paper titled "Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation" published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16 - November 20, 2020.

BanglaNLG

This repository contains the official release of the model "BanglaT5" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaNLG: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla".

CoDesc

A large dataset of 4.2m Java source code and parallel data of their description from code search, and code summarization studies.

CrossSum

This repository contains the code, data, and models of the paper titled "CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs" published in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), July 9-14, 2023.

normalizer

This python module is an easy-to-use port of the text normalization used in the paper "Not low-resource anymore: Aligner ensembling, batch filtering, and new datasets for Bengali-English machine translation". It is intended to be used for normalizing / cleaning Bengali and English text.

banglaparaphrase

This repository contains the code, data, and associated models of the paper titled "BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset", accepted in Proceedings of the Asia-Pacific Chapter of the Association for Computational Linguistics: AACL 2022.

IllusionVQA

This repository contains the data and code of the paper titled "IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models"

csebuetnlp.github.io

TransCoder

Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf