Four word embedding models implemented in Python. Supporting arbitrary context features

A Lite Bert For Self-Supervised Learning Language Representations

datagrand 2019 information extraction competition rank9

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

利用传统方法（N-gram，HMM等）、神经网络方法（CNN，LSTM等）和预训练方法（Bert等）的中文分词任务实现【The word segmentation task is realized by using traditional methods (n-gram, HMM, etc.), neural network methods (CNN, LSTM, etc.) and pre training methods (Bert, etc.)】

Create n-grams of wordlists based on words, characters, or charsets to use in offline password attacks and data analysis

multiprocess unsupervised chinese_detect_words ngram_combination

Ngrams with Basic Smoothings

A project of N-gram model comparing FMM/BMM

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.

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

ngram graphs library

A fast, compact trigram library for Icelandic

Coding mistake locator

A web service that exposes semantic similarity search via a web GUI and a RESTful API.

JS/Python3 Lib for text-decomposition, text-transformation, string-transformation, string-decomposition, ngram, other-gram and neighborhood-representation

基于N-gram的工控流量安全分析模型

Assignment code for CS3245 Information Retrieval, NUS AY16/17

PAN 2019, Bots and Gender Profiling Task

Python scripts updated in 2020 for retrieving CSV data from the Google Ngram Viewer and plotting it in XKCD style. The Python script for retrieving ngram data was originally modified from the script at www.culturomics.org.