This program attempts to assist you in improving your paper before submission.
- find common grammar mistakes (e.g. prepositions)
- find wordy phrases and suggest replacements
- find long, wordy sentences
- find tense inconsistencies
- check visual impression of paper
- check topic sentences
- python
- convert command (ImageMagick): Install with your distribution
- nltk: Install with pip
- nltk data: Install with python -m nltk.downloader all
- detex command (usually comes with LaTeX)
- create PDF from your latex file -> mypaper.pdf
- use detex to create pure text file -> mypaper.txt
- run $ python languagecheck.py mydir/mypaper.txt mydir/mypaper.pdf
- open with a web browser mypaper_index.html to see all reports
Under the following link is an analysis using an early draft of this paper: http://adsabs.harvard.edu/abs/2017MNRAS.465.4348B Program output: https://johannesbuchner.github.io/languagecheck/demo/agnpaper.txt_index.html
Check for common statistics mistakes with this checklist http://astrost.at/istics/minimal-statistics-checklist.html