n-gram language model to predict next word in a sequence of words for auto complete purpose.
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Updated
Jun 20, 2024 - Python
n-gram language model to predict next word in a sequence of words for auto complete purpose.
Sign Language Recognition
Golang metrics for calculating string similarity and other string utility functions
Machine learning based text classification in JavaScript using n-grams and cosine similarity
The project aimed to classify Gutenberg texts accurately. Employing advanced NLP methodologies, it covered collection, preprocessing, feature engineering, and model evaluation for literary work classification. as part of the University of Ottawa's 2023 NLP course.
Topic: Dependency Parsing on Sentences Generated by N-gram Language Model // Summary: Analyzed traits and limitations of the NLP through dependent parsing using a comment dataset from Twitch
This project is an auto-filling text program implemented in Python using N-gram models. The program suggests the next word based on the input given by the user. It utilizes N-gram models, specifically Trigrams and Bigrams, to generate predictions.
A fast classification and tagging tool using byte-level n-gram embeddings. bytesteady is a ServiceNow Research project that was started at Element AI.
This repo demonstrates how to perform topic classification and modeling using Natural Language Processing.
The ngram function is a JavaScript and Node.js function that is part of the DropSuit NLP library. It is designed to generate N-grams from input strings. It's open-source and available under the Apache License 2.0.
Kotlin multiplatform library offering various algorithms to measure string similarity and distance
StrainIQ is an n-gram based method to identify and quantify microbial communities in metagenomics samples.
Modification of Python implementation of an N-gram language model with Laplace smoothing from joshualoehr repository.
Perform sentimental analysis on the Elon-musk tweets and Extract reviews of any product from ecommerce website like amazon, Perform emotion mining.
Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch
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