bengali-natural-language-processing
There are 18 repositories under bengali-natural-language-processing topic.
csebuetnlp/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.
tafseer-nayeem/BengaliReadability
[AAAI 2021] - Simple or Complex? Learning to Predict Readability of Bengali Texts.
Rajspeaks/Machine-Learning-approach-to-Bengali-POS-Tagging-using-BNLP
Machine Learning approach to Bengali Corpus POS (Parts of Speech) Tagging using BNLP (Bengali Natural Language Processing) Toolkit. This is the Minor Project Presentation at Heritage Institute of Technology under the mentorship of Prof. Sandipan Ganguly.
eftekhar-hossain/Bengali-Document-Categorization
Bangla News Article Categorization Using Conv-LSTM Net. It is a multi-class classification problem.
Rajspeaks/Deep-Learning-Approach-to-Bengali-Text-Visualization-using-Word2Vec-Model
This repository consists of Bengali Text-Visualization using Word2Vec Model. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
Rajspeaks/Deep-Learning-Approach-to-Bengali-Word-Embedding-using-BengaliWord2Vec-from-BNLP
Bengali word embedding using BengaliWord2Vec from BNLP. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
sagorbrur/Bengali-NLP-Library
Bengali Natural Language Processing Library contains module and libraries for bengali language processing
eftekhar-hossain/Bengali-Book-Reviews
A task of sentiment analysis. Classify the Bengali book reviews into positive and negative sentiment.
Rajspeaks/Machine-Learning-approach-to-Bengali-corpus-Name-Entity-Recognition-testing-using-BNLP
Machine Learning approach to Bengali corpus NER- Named Entity Recognition using BNLP. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K
Rajspeaks/Machine-Learning-approach-to-Bengali-Corpus-Tokenization-Stemming-POS-Tagging-using-BNLTK
Machine Learning approach to Bengali Corpus POS Tagging using BNLTK. This is an experimenting project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
Rajspeaks/Machine-Learning-approach-to-Bengali-POS-Tagging-using-NLTK
Bengali POS Tagging using Indian Corpus through NLTK. A sample testing to apply POS Tagging under the supervision of Prof. Sandipan Ganguly, HIT-K.
smafjal/bengali_tokenizer
Bengali language Tokenizer (SentencePiece)
banglanlp/banglanlp.github.io
Bangla Language Computing Research
eftekhar-hossain/MUTE-AACL22
[AACL'22] A Multimodal Dataset for Bengali Hateful Memes Detection
shahariar-shibli/Bengali-Fake-Reviews-A-Benchmark-Dataset-and-Detection-System
Bengali/Bangla Fake Review Detection Dataset
Mahamudul-Hasan-Rafi/Bengali-News-Headline-Classification
Implementation of a news headline classification model on Bengali News Headline Dataset over PyTorch.
Shohrab-Hossain/Bengali-Numerals-Classification-using-CNN
This research is based on Optical Character Recognition (OCR). In this study, a system will be designed to recognise Bengali numerals. The numerals are handwritten, and the numerical dataset will be collected from a cloud-based repository. Data will be preprocessed first and then randomly split into training and testing data. Here a Convolutional Neural Network (CNN) will be designed. The CNN will be trained using the training dataset of Bengali handwritten numerical. After training, the CNN will be tested using the testing dataset for recognition accuracy.