Sentence checker for Chinese Learners of English (CLE)

This is a python spell-checker-like sentence corrector. Made for English Learners especially whoes mother-tongue is Chinese.

It can correct most none-word errors and some real-word errors and syntax errors usually made by CLE, such as typo (form, from), tense (she was, she were), single/plural (two questions, two question), set phrase (she is very beautiful, she is very beautifully) ...

The core correcting system is based on the LM made from ChinaDaily/Reuters corpus, and the unique CLE confusion set.

Nmgram probalibity checker, Tag probability checker.

Checker framework from modified version of Peter Norvig's spelling corrector """Spelling Corrector.

Copyright 2007 Peter Norvig. Open source code under MIT license: http://www.opensource.org/licenses/mit-license.php """

Usage: Prerequisition: Install Python , NumPy, NLTK, PyYAML, PyEnchant Install NLTK corpora: gazetteers, names, (reuters: Not needed now) Run: run SpellCorrect.py to check the result