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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.
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.
Chatbot Solution for Resource-Poor Languages. Contains code and data for Journal Article 'Focused domain contextual AI chatbot framework for resource poor languages'.
The Kinyarwanda and Kirundi Languages Toolkit (KKLTK) is a Python package for Kinyarwanda and Kirundi languages processing. KKLTK currently provides the sets of stopwords for both languages and other preprocessing tools such as Kinyarwanda and Kirundi tokenizers will be added soon. KKLTK requires Python 3.0, 3.5, 3.6, 3.7, or 3.8.