Master Thesis Project - different phases of analyses developed for the LangLearn shared task (EVALITA 2023).

Pytorch based Neural Network Language Modeling (NNLM) Toolkit for easier and faster NNLM research and development. Result of my Master's Thesis work.

This repository Contains all the assignments for a course Natural Language Processing in IIT Patna

Advanced file format fuzzer based-on deep neural language models.

Classification of case.law cases by landmark cases from www.law.cornell.edu

Natural Language Processing Lab Experiments

Implementation of "A Neural Probabilistic Language Model" by Yoshua Bengio et al. - Tensorflow

Basic concepts which are used in NLP such as : Language model, Neural Language model, Word embedding, Text classification, Bert, RNN, LSTM, GRU, Attention, Transformers.

Implementation of a simple neural language model (multi-layer perceptron) from scratch for next word prediction

Towards Comprehensive Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias

Creating a Neural Language Model using LSTMs and calculating perplexity score of the model.

Materials for the MSc Thesis "Interpreting Neural Language Models for Linguistic Complexity Assessment" and related works.

Projects for Data Mining and Analytics

N-gram and neural word-level language models

Language Modeling using Recurrent Neural Networks implemented over Tensorflow 2.0 (Keras) (GRU, LSTM)

Generating High-Quality Query Suggestion Candidates for Task-Based Search - ECIR'18

Generating text sequences using attention-based Bi-LSTM

Improving Language Model Performance through Smart Vocabularies

Pytorch implementation of a simple GRU word-level language model trained on Donald Trump's tweets.

Bengio's Neural Probabilistic Language Model implemented in Matlab which includes t-SNE representations for word embeddings.