Post
Topic
Board Meta
Re: Requesting for a Bengali translation and Press release sub board
by
DYING_S0UL
on 13/11/2023, 04:15:32 UTC
So all the local boards that have bad comments about the translation, ban the translation on those boards. Also make translation free on other native boards that would be the best strategy/justice.

Buddy, what you are proposing here is wrong. You can't ban translation just because of some fraudulent translations. The author could make a rule that "new members won't be accepted for translation". Also, all the local boards have very senior members. They can review the translations before they are accepted. That way, unqualified translations would be less.

The OP made the post because our local board/thread (Bangla) had some fraudulent translations. But if you look closely, you'll find many good translators in our Bangla community. We also have a DT member, Little Mouse. We have good members, like Learn Bitcoin and Crypto Library. These members can review those translations before they are posted. So yes, as you can see, banning is not the solution.

Read all the pages. Other members have already given the solution. Especially the last commemt by 1miau.  Wink

I might add further rules, if there's abuse happening or might reject translations of course, after local board members confirm here that it's a low-quality translation. We need high-quality translations, so by providing low-quality translations, no one is doing anyone a favor.

For now, we will just check each translation if it's a fraudulent one and if so, it'll get rejected and possibly a DT tag as well. Easy job to get rid of abusers.  Smiley

Most likely yes, most translations are legitimate ones and I believe a good translation also deserves a reward, so we are going to check each translation in detail, at least for new translators. We might skip to check proven translators or only check translations on a case to case basis and local board members can also report fraudulent translations in that topic. Doing so will probably reduce fraudulent translations by 95%.