HunTag
Tagging system
An NLP tool that uses Maximum Entropy Learning and Hidden Markov Models to perform sequential tagging
a sequential tagger for NLP using Maximum Entropy Learning and Hidden Markov Models
22 stars
9 watching
10 forks
Language: Python
last commit: about 9 years ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
| A tool for sequential sentence tagging using Maximum Entropy Learning and Hidden Markov Models. | 8 |
| An NLTK-based parser that provides morphological annotation for languages using KR-style annotations. | 4 |
| Reproduces results from a 2012 EMNLP paper on type-supervised hidden Markov models for part-of-speech tagging with incomplete tag dictionaries. | 1 |
| A toolkit for part-of-speech tagging and morphological analysis | 141 |
| Generates random text based on a statistical model of input text | 95 |
| A Python library for Bayesian inference and multinomial mixture modeling | 108 |
| A suite of scripts that perform NLP processing steps tailored to analyze social media text | 5 |
| A Rails gem for managing tags with PostgreSQL array columns in a flexible and efficient way | 53 |
| An integrated Hungarian verb conjugation dictionary repository combining multiple sources and datasets. | 4 |
| A deep learning implementation of a recurrent variational autoencoder for generating sequential data. | 357 |
| Tools for normalizing and deriving sentiment from Arabic text | 26 |
| A utility for processing input lines with pattern matching support | 504 |
| A script that automates tagging of new posts from specific communities to improve discoverability in microblogging services. | 13 |
| A Python package for robust inference via generative classifiers for handling noisy labels in machine learning. | 33 |
| Generates text based on patterns found in input data | 228 |