Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

An implementation of HMM-Viterbi Algorithm 通用的维特比算法实现

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

a QGIS-plugin for matching a trajectory with a network using a Hidden Markov Model and Viterbi algorithm

Markov Chains and Hidden Markov Models in Python

Bayesian hidden Markov models toolkit

Map matching (snapping GPS points to road graph) and routing library in Go

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.)】

A morphosyntactic analyzer for the Arabic language.

An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

Natural Language Processing Nanodegree from Udacity Platform, in which I implement Hidden Markov Model for POS Tagger, Bidirectional LSTM for English-French Machine Translation, and End-to-End LSTM-based Speech Recognition

Implementations of machine learning algorithm by Python 3

一个微型的基于 Python 的 HMM (隐马尔可夫模型) 包 | A micro python package for HMM (Hidden Markov Model)

Compilation of Natural Language Processing (NLP) codes. BONUS: Link to Information Retrieval (IR) codes compilation. (checkout the readme)

Built a system from scratch in Python which can detect spelling and grammatical errors in a word and sentence respectively using N-gram based Smoothed-Language Model, Levenshtein Distance, Hidden Markov Model and Naive Bayes Classifier.

Viterbi part-of-speech tagger, trained on Wall Street Journal (WSJ) data

Generates Text based on trained text. Basically a Digital Shakespeare.

Hopefully a lexer-generator that doesn't fucking suck

A python package for HMM model with fast train and decoding implementation

Simple English part-of-speech tagger : 93% accuracy