#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 is a grapheme-to-phoneme (G2P) converter for Urdu language. It can generate lexicons for Urdu words using a deep learning model.
This project contains Urdu characters and some preprocessing functions