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We should improve our prediction engine across multiple languages
Although we should look to use #252 - we currently have our own lookup engine. But we don't have many languages supported.
This tool https://github.com/LuminosoInsight/wordfreq - may help us to generate a top_n_list - which would help a lot..
from wordfreq import top_n_list >>> top_n_list('en', 10)
The text was updated successfully, but these errors were encountered:
For the Hebrew frequency list I threw together this horrible sight:
from wordfreq import top_n_list i = 1002 for item in top_n_list('he', 1000, wordlist='best'): print(" {") print(' "v": "'+item+'",') print(' "w": "'+str(i)+'",') print(" },") i = i-1
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We should improve our prediction engine across multiple languages
General thoughts
Although we should look to use #252 - we currently have our own lookup engine. But we don't have many languages supported.
This tool https://github.com/LuminosoInsight/wordfreq - may help us to generate a top_n_list - which would help a lot..
from wordfreq import top_n_list >>> top_n_list('en', 10)
The text was updated successfully, but these errors were encountered: