#计算机科学#An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.
翻译 - 适用于（🇵🇰）乌尔都语的自然语言处理库。
#计算机科学#UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)
#自然语言处理#Compilation of Manually Tagged Roman Urdu Dataset (Urdu written in Latin/Roman Script), along with other helpful Roman Urdu NLP resources
#Awesome#Repository dedicated to a collection of resources and helping material for Urdu language Processing related tasks
#自然语言处理#Pashto Natural Language Processing Toolkit
#自然语言处理#Fake news detection using Naïve Bayes in Python along with confusion matrix calculated using sklearn.
#自然语言处理#Generating Urdu poetry using SpaCy in Python. Poetry has been generated by using Uni-grams, Bi-grams, Tri-grams and through Bidirectional Bigram Model and Backward Bigram model.
#自然语言处理#This is an Urdu Word Spell Checker using Noisy Channel Model implemented in Python3.
A simple python based Urdu stemmer which tries to find a stem word from a list of affixes.
A Sequence to Sequence Model Implementation of Urdu Natural Language Processing
#计算机科学#High-quality synthetic text data generation for Urdu Text Recognition
A list of most frequently used Roman Urdu words with different spellings and usages to help make Roman Urdu text processing easier.
#网络爬虫#The first Urdu search engine crawler for web.
#计算机科学#UrduFeel: Deep Learning Sentiment Analysis for Emotional Insights
#自然语言处理#List of Most Used or Stop Words of Urdu. Approximately 300 Words
Urdu Spell & Grammar Checker: A Python app for accurate spell-checking and grammar correction in Urdu text.
We have presented a new dataset for question and answering models. Our dataset contains 27 different Urdu paragraphs which are taken from different available resources i.e Urdu Wikipedia, youtube and ...
This project contains Urdu characters and some preprocessing functions
#自然语言处理#This repository contains code for Urdu Text preprocessing natural language data for use in NLP applications.