Urdu is a less developed language as compared to English. That's why it lacks resources of research and development for natural language processing, speech recognition, and other AI and ML related problems. It took me so long to build a dataset and enhance it for NLP tasks because the datasets which are available are not enough to do ML. Most of the dataset is proprietary which restricts the researchers and developers. Fortunately, I've made POS and NER dataset publicly available on Github for research and development. This article is related to building the NER model using the UNER dataset using Python. Install the necessary packages for training. pip3 install numpy keras matplotlib scikit-learn then import the packages. import ast import codecs import json import matplotlib.pyplot as plt import numpy as np from keras.layers import Dense, InputLayer, Embedding, Activation, LSTM from keras.models import Sequential from keras.optimizers import Adam from...