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Note: After Apertium's migration to GitHub, this tool is read-only on the SourceForge repository and does not exist on GitHub. If you are interested in migrating this tool to GitHub, see Migrating tools to GitHub. is located in /trunk/apertium-tools/scraper/ It was written by Daniel Huang. The purpose is to make NLTK's Punkt sentence tokenizer work on Python 3.
You can call in your Python 3 code like:

py2output = subprocess.check_output(['python', '', tosplit, lang])
  • tosplit is the text that will be tokenized into sentences
  • lang is the 3-letter or 2-letter language code. Currently, it supports English, Russian, and Armenian.

The sentences will be printed to the variable py2output. (in the same directory) uses