GitHub - eduardocs21/textReadabilityClassifier: Program to check english texts for readability, grammatical phenomena and vocabulary to support English teachers deciding if a new text fits their class. This is a study project. I put a lot of love and work into it, but I'm still a beginner programmer and not a linguist, so it only works to some extent. Ask me anything if youre interested.

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Program to check english texts for readability, grammatical phenomena and vocabulary to support English teachers deciding if a new text fits their class. This is a study project. I put a lot of love and work into it, but I'm still a beginner programmer and not a linguist, so it only works to some extent. Ask me anything if youre interested.

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Name		Name	Last commit message	Last commit date
Latest commit History 54 Commits
.idea		.idea
__pycache__		__pycache__
venv		venv
.gitattributes		.gitattributes
.gitignore		.gitignore
README.txt		README.txt
grammar_module.py		grammar_module.py
readability_module.py		readability_module.py
svm_evaluation.py		svm_evaluation.py
trcMain.py		trcMain.py
vocabulary_module.py		vocabulary_module.py

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For the Grammar-Module to work, a Stanford Core NLP Server (Java) has to be downloaded and started manually.
(Reason: Usage of POS-Tagger and Dependency Parser)


Tutorial for Windows PowerShell:
1. Open the directory of the classifier in Windows explorer (place of this README-file)
2. Shift + Right-Click on "stanford-corenlp-4.2.0"
3. Click "Open PowerShell Window here"
4. Copy and paste the following command
java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -preload tokenize,ssplit,pos,lemma,ner,parse,depparse -status_port 9000 -port 9000 -timeout 15000
5. Press Enter


Tutorial with alternative way to open PowerShell:
1. Open the directory of the classifier in Windows explorer (place of this README-file)
2. Double-Click on the directory "stanford-corenlp-4.2.0"
3. Type "powershell" in the address bar and press Enter
4. Copy and paste the following command
java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -preload tokenize,ssplit,pos,lemma,ner,parse,depparse -status_port 9000 -port 9000 -timeout 15000
5. Press Enter