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algorithm-for-bengali-error-dataset-generation

We present a unique algorithm for Bangla that can be used to generate error or misspelled Bangla words, like we often do while writing in Bangla through English keyboard. The purpose of making the error Bangla words or in other words, the Bangla error word dataset, is that, it can be used for evaluating performance of various existing Bangla spell checkers along with paragraph correction in order to improve the quality of suggestions for misspelled words. We propose this algorithm for Bangla, regarding the various complex context-sensitive rules of Bangla. In our work, we made a cluster list and realize the similar pronounced letters in Bangla and replace those letters for making an error word. Our goal is to make the errors in writing as human as possible. We are striving for finding out the mistake patterns of human while writing Bangla, using English keyboard with QWERTY layout and use that subject for our work. We also test various existing Bangla spell checkers with our dataset and found a variety of results. The results are shown a table in the result section.

awesome-bangla

A collection of tools, datasets and resources on Bangla computing

awesome-federated-learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

bangla-sentence-correction

banglaheroku

banglamusicmood

banking-system

bengali-error-dataset-generation

bengalidictionary

A Large Collection of Bengali Words & Translations (বাংলা-শব্দ-bengali-shobdo-bengal-word-list-bangla-translation-spell-check-checker-dictionary-translator-dataset-data-set-english-to-bd-bn-en-e2b-sobdo)

cachetd

Implementation of the tree triplet distance algorithms from our paper "Cache oblivious algorithms for computing the triplet distance between trees", published in ESA 2017

consensustree

dna2vec

doc2vec

Python scripts for training/testing paragraph vectors

drlformkp

A Deep Reinforcement Learning-Based Scheme for Solving Multiple Knapsack Problems

easylife

Proof of concept for student abstract. "Teaching Convolutional Neural Networks to Solve Conway’s Reverse Game of Life"

eeg-gnn-ssl

face-ditection

fact

fact2

federated

A framework for implementing federated learning

fedml

FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).

flower_main

Flower - A Friendly Federated Learning Framework

habibsifat.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

hate

💭🗣️💢Evaluating The Effectiveness of Capsule Neural Network in Toxic Comment Classification using Pre-trained BERT Embeddings

hyperbolics

Hyperbolic Embeddings

image-processing

Image Processing using Convolutional Neural Network with Keras. Here I have used the MobileNet pre-trained model for classification.Convert Video to Image using OpenCV

layout-parser-coco

A Unified Toolkit for Deep Learning Based Document Image Analysis

lstm-char-cnn

LSTM language model with CNN over characters

newsarticleranking

node2vec

Implementation of the node2vec algorithm.