1 code implementation • 31 May 2023 • Sheikh Mohammad Jubaer, Nazifa Tabassum, Md. Ataur Rahman, Mohammad Khairul Islam
Handwriting recognition remains challenging for some of the most spoken languages, like Bangla, due to the complexity of line and word segmentation brought by the curvilinear nature of writing and lack of quality datasets.
Ranked #1 on Handwritten Word Segmentation on BanglaWriting
Handwritten Line Segmentation Handwritten Text Recognition +4
1 code implementation • 29 May 2022 • Md. Ataur Rahman, Nazifa Tabassum, Mitu Paul, Riya Pal, Mohammad Khairul Islam
Our line segmentation approach takes care of the variability involved in different writing styles, accurately segmenting complex handwritten text lines of curvilinear nature.
Ranked #2 on Handwritten Line Segmentation on BN-HTRd
Handwritten Line Segmentation Handwritten Text Recognition +2
1 code implementation • 25 Dec 2019 • Rabeya Sadia, Md. Ataur Rahman, Md. Hanif Seddiqui
Our proposed system has enhanced the aforementioned exploration by actualizing one of the stemming algorithms called N-gram stemming.
1 code implementation • 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) 2019 • Yeasmin Ara Akter, Md. Ataur Rahman
This manuscript manifests the results of our work on extracting RDF triples from raw text data.
1 code implementation • 18 Jul 2019 • Md. Ataur Rahman, Md. Hanif Seddiqui
Detecting emotions from text is an extension of simple sentiment polarity detection.
1 code implementation • 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) 2019 • Md. Ataur Rahman, Yeasmin Ara Akter
One of the central motivations behind Natural Language Processing is detecting patterns.
Ranked #1 on Topic Classification on Amazon Product Data