Difference between revisions of "Getnltk.py"
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getnltk.py is located in <code>/trunk/apertium-tools/scraper/getnltk.py</code>. It was written by [http://wiki.apertium.org/wiki/User:Dtvrij74 Daniel Huang]. The purpose is to make NLTK's Punkt sentence tokenizer work on Python 3. |
getnltk.py is located in <code>/trunk/apertium-tools/scraper/getnltk.py</code>. It was written by [http://wiki.apertium.org/wiki/User:Dtvrij74 Daniel Huang]. The purpose is to make NLTK's Punkt sentence tokenizer work on Python 3. |
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Latest revision as of 02:32, 10 March 2018
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.
getnltk.py is located in /trunk/apertium-tools/scraper/getnltk.py. It was written by Daniel Huang. The purpose is to make NLTK's Punkt sentence tokenizer work on Python 3.
You can call getnltk.py in your Python 3 code like:
py2output = subprocess.check_output(['python', 'getnltk.py', tosplit, lang])
tosplitis the text that will be tokenized into sentenceslangis the 3-letter or 2-letter language code. Currently, it supports English, Russian, and Armenian.
The sentences will be printed to the variable py2output. xml2txt.py (in the same directory) uses getnltk.py.
