Show commonness of words with level of commonness

[Effiti]

Is your feature request related to a problem? Please describe.
The commonness of a word can be described more exactly than with a boolean.

Describe the solution you'd like
The German dictionary website "Duden" shows the commonness of a word on a scale of one to five.

Describe alternatives you've considered
A percentage of use could also be considered, but might lead to more complexity than needed, as words would probably be categorized into more rough categories subconsciously.

[ijemmao]

This is a good point @Effiti ! I can pass this note to our lexicographers

In the mean time, if you want to be apart of these conversations, you can join our meetings and conversations in Slack: https://nkowaokwu.com/volunteer

[Effiti]

@ijemmao
oh, right, i forgot about that, posted something on a possible UI implementation there now.

[ijemmao]

@Effiti great! but I might have missed it~ hopefully you have the chance to send the message in the #software-engineers channel! would love to have you there 😊

[ijemmao]

@Effiti would you like to work on this ticket with our community translators? You would be able to update the code so that it handles a scale of frequency rather than a binary yes or no approach to determining word frequency

[Effiti]

@ijemmao sure, what do you have in mind?

[ijemmao]

@Effiti we would need to use the migrate-mongo package to create a new migration script that:

1. Converts our current frequency field from a Boolean to a Number field
2. Converts all frequency values that are set to true to the highest possible number in the scale, which will be five. Then set all the false values to 1.

The minimum number for the word frequency scale is 1 while the highest number is 5

[Effiti]

Ok, I will Fork the repo in a couple of days and start by implementing this migration.

Maybe we should first merge that change, after that I will get in touch with the translators and other people interested in working on this in order to find ways to get good data on the frequency of words!