A library & tools to evaluate predictive language models.

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.

Language modeling based on ngrams models and smoothing techniques

The NLTK Model Submodule.

基于N-gram的工控流量安全分析模型

Train an n-gram model given a corpus of words.

2-gram中文分词

A Python library that automatically corrects English text by re-ranking corrections with an ngram model.

All NLP related courses on DataCamp

a tfidf tool that can calculate tf-idf value and extract key words

A simple next-word prediction, word completion and word correction engine.

English Word Suggestion Based on POS-Ngram

java code naturalness calculation via n-gram language models.