Ancient scrolls are being ‘read’ by machine learning—with human knowledge to detect language and make sense of them

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Ancient scrolls are being ‘read’ by machine learning—with human knowledge to detect language and make sense of them

‘An Eruption of Vesuvius,’ by Johan ********** Dahl (1824). (The Metropolitan Museum of Art),

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A groundbreaking announcement for the recovery of lost ancient literature was recently made. Using a non-invasive method that harnesses

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, an international trio of scholars retrieved 15 columns of ancient Greek text from within a carbonized papyrus from

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, a seaside Roman town eight kilometers southeast of Naples, Italy.

Their achievement earned them a US$700,000 grand prize from the

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. The challenge sought to incentivize technological development by inviting public participation in the research.

It emerged from collaboration between computer scientist Brent Seales—who has

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in non-invasive

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manuscripts—and technology investors Nat Friedman and Daniel ******.

While the developments are exciting, technology is only part of the progress of scholarship. The work of reading and analyzing the new Greek and ****** texts recovered from the papyri will fall to human beings.

******* in ash

Like Pompeii,

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was ******* by the catastrophic eruption of Mount Vesuvius in 79 CE.

Much of the ancient town ******** underground. But in 1752, excavation uncovered hundreds of papyrus scrolls in the library of an elaborate Roman villa. The Herculaneum papyri

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intact ancient library preserved in the archaeological record: the library was found as it actually existed in 79 CE.

The precise number of books is unknown, says Michael McOsker, a research fellow in papyrology at University College London, and different methods of estimating give different results.

Carbonized papyri

Starved of oxygen, the intense heat of Vesuvius’

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carbonized (but did not ignite) the papyri. Resembling lumps of coal to the eye, 18th-century excavators did not immediately recognize them as ancient books.

The papyri are so brittle that many were destroyed by early attempts to access their texts. Studying them has therefore always required ingenuity. In 1754, a

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devised a machine for slowly unrolling them.

More recently,

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has dramatically improved their legibility. But until now, a non-invasive method that would leave the scrolls intact remained out of reach. Its development marks a significant breakthrough.

McOsker notes there are 659 items in the catalogue listed as “not unrolled,” but some of these are parts of scrolls.

Sparking innovation

To kick-start the challenge, Seales

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an array of high-resolution X-ray computed tomography (CT) scans of two scrolls as well as similar scans of detached fragments with visible ink. The latter are essential as a reference point (or “control”) for innovative approaches.

The competition’s design encouraged transparency and collaboration: data published in the pursuit

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benefited all competitors. Additionally, transparency enabled the independent verification of results. Teams coalesced around shared ideas and approaches to the problem.

Text mentions music, taste, sight

The challenge made news in

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, when the first letters were read: πορφυρας (a noun or adjective involving “purple”).

By the end of 2023, the criteria for awarding the grand prize were met: four passages of 140 characters, with 85 percent of the letters recovered.

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were declared the victors.

According to McOsker, the text they retrieved mentions music twice, as well as the senses of taste and sight. He thinks it is likely a work about sensation and decision-making, in the tradition of

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. The challenge’s papyrological team is still analyzing it.

Hundreds of rolls to be studied

This year brings with it new goals: after five percent of one scroll was read in 2023, the challenge set a

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of reading 90 percent of four scrolls. With hundreds of rolls yet to be studied, the new method of recovering the contents of the Herculaneum papyri is only getting started.

But several obstacles remain. The production of scans at sufficiently high resolution can’t be done via ordinary equipment, but requires access to a facility with a particle accelerator. Access to the right equipment is limited and costly. To date, four scrolls and numerous detached fragments

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near Oxford, England.

Most of the unopened scrolls are housed in Naples, and getting them safely to a facility will be complicated, as will reserving and paying for the beam time required to scan them.

Another limitation is that the technology for unrolling and flattening out a papyrus by virtual means—a process the challenge calls “segmentation”—is slow and expensive. Via current techniques, which involve a fair bit of manual manipulation, fully segmenting one scroll would cost US$1–5 million. Segmentation needs to become much more efficient to avoid a bottleneck.

Critical minds needed

Technology is only part of the equation. Essential to the challenge’s work is an international team of papyrologists. Their role is to analyze the model’s output of legible ancient Greek—and in so doing determine which approaches are most effective.

Papyrology is thrilling work, but also challenging and painstaking. It requires mastery of ancient languages and ideas as well as the puzzle-solver’s ability to fill in the inevitable gaps. Papyrology is a niche specialization: in the larger world of classics, papyrologists are rare birds. The number of Herculaneum specialists is even fewer.

For the challenge truly to succeed, we’re going to need critical minds as well as whizbang technology. There’s potentially a fair bit of new ancient philosophy headed our way, but it needs to be pieced together into a coherent text—letter by letter, word by word, sentence by sentence—before it can be studied more widely. That’s going to require scholars.

Provided by
The Conversation

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Ancient scrolls are being ‘read’ by machine learning—with human knowledge to detect language and make sense of them (2024, March 13)
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