Search Results for author: Kazi Samin

Found 3 papers, 3 papers with code

XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages

1 code implementation25 Jun 2021 Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam, Kazi Samin, Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman, Rifat Shahriyar

XL-Sum induces competitive results compared to the ones obtained using similar monolingual datasets: we show higher than 11 ROUGE-2 scores on 10 languages we benchmark on, with some of them exceeding 15, as obtained by multilingual training.

Abstractive Text Summarization

BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding

1 code implementation1 Jan 2021 Abhik Bhattacharjee, Tahmid Hasan, Kazi Samin, Md Saiful Islam, M. Sohel Rahman, Anindya Iqbal, Rifat Shahriyar

As a bi-product of the standard NLU benchmarks, we introduce a new downstream dataset on natural language inference (NLI) and show that BanglaBERT outperforms previous state-of-the-art results on all tasks by up to 3. 5%.

Document Classification Language Modelling +3

Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation

1 code implementation EMNLP 2020 Tahmid Hasan, Abhik Bhattacharjee, Kazi Samin, Masum Hasan, Madhusudan Basak, M. Sohel Rahman, Rifat Shahriyar

With the segmenter and the two methods combined, we compile a high-quality Bengali-English parallel corpus comprising of 2. 75 million sentence pairs, more than 2 million of which were not available before.

Machine Translation Sentence segmentation

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