Papers of the day   All papers

Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B


Nando de Freitas: Machine learning to automatically translate long-lost languages

8 replies, 446 likes

Ben Sprecher: Holy shit, and of course. We now have the ultimate Rosetta Stone. NN for automatic decipherment of lost languages: - Ugaritic, +5.5% vs. SOTA. - the first automatic deciphering of Linear B (related to ancient Greek), correctly translates 67.3%

6 replies, 172 likes

Peter Gainsford: So, this is making news: automated 'decipherment' of ancient languages, touting a 67.3% success rate with Linear B. Thing is, they're not deciphering languages. The project is much more limited: they take a SCRIPT and compare it to a known language.

3 replies, 56 likes

Ancient History Encyclopedia: Linear B Script was the #writing system used by the Mycenaean civilization. Examples of this script have been recovered from late Minoan II contexts in Crete and Mycenaean IIIA-B contexts in mainland Greece. #History

0 replies, 32 likes

Ben Cartlidge: We already have machines that can learn how to decipher Linear B. They're called "people". Some if not most of them work at things called "classics departments". Talk to them. They'll be able to translate any Linear B you're having issues with.

1 replies, 24 likes

MIT Technology Review: Researchers have developed a machine-learning system capable of deciphering lost languages.

0 replies, 16 likes

Jens Notroff: Ah, the burden of bold headlines again (or subheadlines in this case) ... Important notes regarding recent tech news about the automated 'deciphering' of dead languages in this short thread (spoiler: it's only as good as the data basis accumulated by human research 🤷‍♂️).

0 replies, 5 likes

Ben Cartlidge: Sob/lol/scream Tech people, PLEASE STOP DOING THIS.

0 replies, 5 likes

Simon de la Rouviere: Was waiting for this to happen! Machine learning to decipher patterns in lost languages. 😍 Imagine deciphering all this? At least pushing the needle?

0 replies, 2 likes

Hacker News: Deciphering Linear B with AI

1 replies, 2 likes

Gordon Brander: 🐳 this, but for whales. “We propose a novel neural approach for automatic decipherment of lost languages.”

1 replies, 2 likes

Therfer: #Linguistics and #MachineLearning Work in

0 replies, 2 likes

space octopus: this is actually pretty cool, even if you don't know what it's about. trust me. it's cool.

0 replies, 1 likes

IntuitionMachine: Really cool research using neural networks to decipher 'lost human languages': #deeplearning #ai

0 replies, 1 likes

Robert (Munro) Monarch: Interesting new paper applying Machine Translation to Linear B. But is it really a "lost" language? It's Ancient Greek and the script was deciphered 50+ years ago. Maybe @linearb has an opinion?

0 replies, 1 likes

Seth Largo: "In this paper we propose a novel neural approach for automatic decipherment of lost languages." Mode correctly translates Linear B cognates at 67%. h/t @dpinsen

0 replies, 1 likes

rogueclassicist: Thread 🔻🔻

0 replies, 1 likes

Poornima Farrar: Leveraging #unsupervised #machinelearning for deciphering lost languages:

0 replies, 1 likes


Found on Jul 01 2019 at

PDF content of a computer science paper: Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B