AllenNLP version

Tokenization is a way of separating a piece of text into smaller units called tokens. Here, tokens can be either words, characters, or subwords. Hence, tokenization can be broadly classified into 3 types – word, character, and subword (n-gram characters) tokenization.

Make a slug value (a part of a URL) from a regular sentence.

this console program generates a markov chain of words

Data augmentation for NLP, presented at EMNLP 2019

A simple way to remove stretches in strings

Assignment titled "Experiments on Natural Language Processing and Prediction of Sentiment Labelled Sentences" for Knowledge Discovery course at Ryerson University

Return an English translated sentence of the passed binary string. The binary string will be space separated.

This program asks for a text to be entered and will display the number of words and sentences that are there in the text

A simple but extensible Python module for sentences

This repository contains the implementation of a fine-tuned Llama2 chatbot using QLoRA, tailored to provide detailed information and recommendations about movies. The model is fine-tuned on the IMDB dataset, enabling it to generate informed and contextually relevant responses.

Language identification with as few characters as possible

This package hosts an array of frequently used regex validations and regex expression evaluation functionalities. In general, String check encompasses last word check, middle word check, first word check, sentence validation, phone number validation, name validation with or without honorific, password with both default parameter settings and cus…

Showing the use of keyword "with" with the help of a simple sentence generator

Malayalam version for Lorem Ipsum [Mirrored from GitLab]

A webapp made in HTML, CSS, and Javascript that figures out how many WPM you are able to type.

Magic Mirror : display sentences built with randomed words

Prudence - My first attempt at a 'learning' algorithm

Oracle

📝 Convert text or sentence with various possible options (Bases, Morse code, Types of text).