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Science Memes
Welcome to c/science_memes @ Mander.xyz!
A place for majestic STEMLORD peacocking, as well as memes about the realities of working in a lab.

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- Don't throw mud. Behave like an intellectual and remember the human.
- Keep it rooted (on topic).
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- Infographics welcome, get schooled.
If you are here asking: "Is this a science meme?"
Probably, yes. We use the Dawkins definition of meme: a replicating idea, not just an image macro with a fact on it. A good post here doesn't need to teach you something. It needs to make you ask something: who, what, where, when, and especially why or how.
Science isn't a filing cabinet of facts, it's a conversation. For example, a photo of an eel or other localized wildlife counts because most people never see one, and wonder is the first step of inquiry. A car meme counts if it makes you curious about what's under the bonnet. If you want to talk about something you noticed in the world, chances are someone else wants to talk about it too.
We moderate for vibe, not category. Pruning is light, especially where a post creates interesting discussion. Experimenting is encouraged.
See the pinned paper on Shitposting as Public Pedagogy if you want the academic case for why this works.
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Translation might be the only thing they genuinely do better than older tools.
There are other usages in computer linguistics. My master thesis was a neural parser. Other usages are in pattern recognition in medicine for example. But your point stands that often it makes things worse
I had heard about the medicine thing actually. When the use case actually lines up with what it is, it makes sense as a tool. It's that old adage though "When you have a hammer, everything looks like a nail."
Is there any way I can read your thesis? I'm casually curious, and also have no idea if college thesis are allowed to be shared online with rando people like me.
It depends in part in your ability to read German ๐ I wrote another comment elaborating a little and giving clues for "further reading"
Thats super cool! What sort of things did your neural parser do?
Well, it parses natural language. In linguistics, or syntax to be precise, there are different ideas on how to build syntax trees. The most common is Dependency Grammar, basically just a tree where every word points to the word it refers to (the adjective to the noun, the subject and the object to the verb, the verb is the root). I applied this to a different syntax theory called Role and Reference Grammar. You can google the latter, if you want to look into neural parsers in general, stanfordNLP has modules for python and I think online tools as well and stuff.