Professional academic linguist
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Comment on If a word can have as many meanings as we assign to it. Can was assign every meaning to one word?
circuitfarmer@lemmy.sdf.org 3 weeks ago
Professional academic linguist here. (Yes, that’s a thing.)
Words have the meanings that communities apply to them. There is no governing body over word meanings. There can be a tension (e.g. two groups using the same term in different ways), but that doesn’t really mean that the word means both. Words mean different things to different groups. It has to be this way, for epistemic and pragmatic reasons.
In that sense, meanings are not consciously assigned. So the answer to your original question could be “no”.
But in another sense, all meanings are possible for any given meaningful sequence around the world. Which means, in principle, given infinite communities of practice, a word could have infinite meanings. A stretch, of course.
Professional academic linguist
🧐
It means I’m not a translator and I don’t work on one particular language.
milicent_bystandr@lemm.ee 3 weeks ago
Or, to put it another way, (unprofessional academic linguist here), a word has meanings by what you mean by it, and what the listener understands it to mean.
In a sense, it can mean anything you want it to. In another sense, it can mean anything the listener/reader interprets it as. Most useful though is when you mean the same meaning that the listener understands.
And for “accepted/official meaning”, that’s just a community all agreeing on a meaning. Optionally with a recognised group (e.g. dictionary writer) affirming certain meanings as accepted in the community.
circuitfarmer@lemmy.sdf.org 3 weeks ago
I think you’re getting at intended meaning versus received meaning. Which is totally a thing, but intended meaning is far less well understood than accepted meaning (not necessarily at the word level, but definitely at the sentence level).
At the sentence level, companies pay big money to have tens of thousands of sentences manually annotated for intended meaning (to try and train AI to be able to discern it automatically).