Language processing interface: some tools to process different natural languages

Compiler Construction contains three phase 1)Lexical Analyzer 2)Syntax Analyzer 3)Semantic Analyzer

deep learning based sequence labeling tools

Basics of Natural Language Processing

A restaurant management web application in which the system assigns a unique token to each order and notifies the customer when the order is complete.

A small experiment using both Mecab and Tinysegmenter to create a tokenized list of Japanese sentences in JSON, taken from the Tatoeba corpus.

A simple spam classifier using Naive Bayes and Natural Language Processing

Simple Swift Introduction to Natural Language Processing for Educational purposes

Designed a mini-search engine using English language Wikipedia corpus of size 80 GB by creating inverted indices. It gives you top search result related to given query words.

Super-efficient and capable MIDI music AI encoding/tokenization strategy proposal

Implementation of C++ lexical analyzer to demonstrate how it actually works as a part of the compiler.

FPE Tokenization that produces highly unique tokens

Sentiment Analysis for Moroccan Dialect

DApp for digitizing real estate assets

Basic Tokens Vault

Preprocess a sample text by performing word and sentence tokenization, stopword removal, and stemming

Welcome to the Zenith Token Application, where managing your Zenith tokens is a seamless experience. This application empowers you to effortlessly check your token balance and execute secure transactions by sending Zenith tokens to other addresses.

This project utilizes a machine learning model where consumer brand data is employed. Initially, a preliminary model is developed, followed by a refined model using a process called 'fine-tuning' to improve results. Additionally, a comprehensive testing suite has been created to validate accuracy and reliability of the model's predictions.