Machine learning, in numpy

Python implementation of Gale and Sampson's (1995/2001) "Simple Good Turing" algorithm.

Ngrams with Basic Smoothings

Ngrams with Basic Smoothings

Ngrams with Basic Smoothings

Ngrams with Basic Smoothings

Course Repository for ELL881 (Special Topics:Modern Natural Language Processing), 6th Semester, 2023, IITD

Statistical language model of Turkish utilizing ngrams of Turkish syllables with Good Turing smoothing implementation.

Code for Evaluating the Unseen Capabilities: How Many Theorems Do LLMs Know?

Assigmnents of CL

Ngrams with basic smoothing.

Ngrams with Basic Smoothings

Text Prediction algorithm and app built for the Capstone Project of the Coursera: John Hopkins Data Science Certification. Utilizes a quadri-gram model with Kneser-Ney smoothing and Good Turning Frequency Estimation.

Implementation of classical n-gram language models with Good-Turing and Kneser–Ney smoothing for NLP.

An implementation of n-gram language models with various smoothing techniques for natural text generation and analysis with tokenization and perplexity calculations

📖 N-Gram language model for Turkish

Implemented a tokenizer class , some language models techniques and based on those models generating next words.

Assignment for Computational Linguistics' course - Tilburg University

A coursework-style project from my MSc Machine Learning on Big Data (University of East London), using PySpark to compute word frequency distributions on a large English corpus (~9.5 million words) and to compare frequency estimates from small samples against the full dataset.

N-gram Language Model