Python implementation of an N-gram language model with Laplace smoothing and sentence generation.

Ngrams with Basic Smoothings

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 general emoji-text translator which translates emoji-text to chinese

Programming for NLP Project - Implement a basic n-gram language model and generate sentence using beam search

It's a python based n-gram langauage model which calculates bigrams, probability and smooth probability (laplace) of a sentence using bi-gram and perplexity of the model.

Language identification toolkit for identifying what language a document is writen in

N-Gram language model that learns n-gram probabilities from a given corpus and generates new sentences from it based on the conditional probabilities from the generated words and phrases.

NLP-persian-poet-identification

Add n-gram and LLM language model support to HF Transformers Whisper models.

Language identifier with using ngram language model

Part of a semester project this grammarchecker uses a n-gram language model to detect grammatical errors and a bert model is used to generate suggestions.

Prediction using a Ngram language model the probability that a given text is the work of a certain author. Also generates a text similar to the work of a given author

Simulated Audio Situation Frame Evaluation (SASFE) for Lorelei

Generating text using N-gram models that were trained on shakespeare.txt and warpeace.txt. n-gram models are widely used in statistical natural language processing. In speech recognition, phonemes and sequences of phonemes are modeled using a n-gram distribution.

Jetbrains Internsip | An implementation of the paper "Learning to Format Coq Code Using Language Models"

Fit an n-gram Markov-Model to WhatsApp chat history

Language Detection using N-Grams