This update addresses the issue of obtaining the most common 10,000 words in 10 different languages using NLTK. A new script, fetch_word_lists.py, has been added to handle this task. The script downloads the necessary NLTK data and saves the word lists in a directory named wordlist. Additionally, the startup sequence in app.py has been modified to run this script. The NLTK library has also been added to requirements.txt.
This update addresses the issue of obtaining the most common 10,000 words in 10 different languages using NLTK. A new script,
fetch_word_lists.py, has been added to handle this task. The script downloads the necessary NLTK data and saves the word lists in a directory namedwordlist. Additionally, the startup sequence inapp.pyhas been modified to run this script. The NLTK library has also been added torequirements.txt.Closes #14