AI Helps Read Old Scrolls
AI Helps Read Old Scrolls
AI 協助閱讀古卷
Introduction
Scientists use AI and X-rays to read old books. These books burned in a volcano long ago.
科學家利用 AI 和 X 光來閱讀古書。這些書很久以前在火山噴發中被燒毀了。
Main Body
Many years ago, people found old scrolls in a house. The scrolls were black and hard. People tried to open them, but the scrolls broke. The ink and the paper looked the same, so people could not read them.
許多年前，人們在一間房子裡發現了古卷。這些古卷是黑色且堅硬的。人們試圖打開它們，但古卷破碎了。墨水和紙張看起來一樣，所以人們無法閱讀。
Now, scientists use a new way. They use computers and special machines. They do not touch the scrolls. The computer looks inside the scrolls and finds the words. This is called virtual unwrapping.
現在，科學家使用一種新方法。他們使用電腦和特殊機器。他們不會接觸古卷。電腦會查看古卷內部並找出文字。這被稱為「虛擬展開」。
Scientists found new texts about how to live a good life. They found books by a man named Philodemus. They want more experts to help them read these old words. They offer a lot of money to people who can read one full scroll.
科學家發現了關於如何過好生活的新文本。他們發現了由一個名叫 Philodemus 的人編寫的書籍。他們希望更多專家能幫助閱讀這些古字。對於能夠完整閱讀一卷古卷的人，他們提供豐厚的報酬。
Conclusion
AI helps us read old books. But there are still 600 scrolls to read.
AI 協助我們閱讀古書。但仍有 600 卷古卷待閱讀。
Vocabulary Learning
⚡ The 'Now vs. Then' Switch
Look at how the story changes from the past to the present. This is the secret to moving from A1 to A2 English.
1. The Past (What happened) Words end in -ed or change form to show the action is finished.
- found (find)
- tried (try)
- broke (break)
- looked (look)
2. The Present (What is happening now) The words are simple and describe a current fact.
- use (Scientists use AI)
- looks (The computer looks inside)
- offer (They offer money)
💡 Quick Tip: When you see 'Many years ago', use the Past. When you see 'Now', use the Present.
Vocabulary Learning
Using Machine Learning and Advanced Imaging to Read Ancient Herculaneum Scrolls
利用機器學習與先進成像技術閱讀古赫庫蘭尼姆卷軸
Introduction
Researchers are using artificial intelligence and X-ray technology to recover lost philosophical texts from scrolls that were burned during the eruption of Mount Vesuvius in 79 A.D.
研究人員正利用人工智慧與 X 光技術，恢復在公元 79 年維蘇威火山爆發期間被燒毀的哲學文本。
Main Body
The project focuses on a group of papyrus scrolls found in the 18th century in a villa in Herculaneum. In the past, experts tried to unroll these documents by hand, but the burned material was too fragile and often broke. Furthermore, because the charred papyrus and the ink looked almost identical, most of the texts remained impossible to read.
該計畫聚焦於 18 世紀在赫庫蘭尼姆一座別墅中發現的一組莎草紙卷軸。過去，專家嘗試用手展開這些文件，但燒毀的材質過於脆弱且經常破損。此外，由於燒焦的莎草紙與墨水看起來幾乎一模一樣，導致大部分文本仍無法閱讀。
Recently, the University of Kentucky and the National Library of Naples started the 'Vesuvius Challenge.' By using particle accelerators and machine-learning algorithms, they have developed a method called 'virtual unwrapping.' This process allows researchers to extract text without damaging the scrolls. Consequently, they have recovered large parts of works by the philosopher Philodemus, as well as an unknown document from 200-300 B.C. about ethics.
近期，肯塔基大學與拿坡里國家圖書館啟動了「維蘇威挑戰賽」。透過使用粒子加速器與機器學習演算法，他們開發了一種稱為「虛擬展開」的方法。此過程讓研究人員能在不損壞卷軸的情況下提取文字。因此，他們恢復了哲學家 Philodemus 的大部分作品，以及一份關於倫理學、年代約在公元前 200 至 300 年的未知文件。
Experts emphasized that moving from reading small fragments to recovering full arguments is a major change in the field. Although only 10% of the collection has been processed, the project is now looking for language experts to help interpret the data. To speed up this progress, a $1 million prize has been offered to anyone who can fully decode a single scroll by next June.
專家強調，從閱讀小碎片轉向恢復完整論點，是該領域的一項重大變革。儘管目前僅處理了 10% 的藏品，但該計畫目前正在尋找語言專家以協助解釋數據。為了加速這一進程，計畫提供了 100 萬美元的獎金，授予任何能在明年六月前完全解碼單一卷軸的人。
Conclusion
The use of AI has made it possible to read ancient texts that were previously lost, although more than 600 scrolls still need to be processed.
人工智慧的使用使得閱讀先前失傳的古代文本成為可能，儘管仍有 600 多卷卷軸需要處理。
Vocabulary Learning
🧩 The 'Logic Link' Upgrade
At the A2 level, students usually connect ideas with simple words like and, but, or because. To reach B2, you need to use Connectors of Consequence and Contrast. These make your writing sound professional and fluid.
⚡ From Simple to Sophisticated
Look at how the article upgrades basic logic:
-
The 'Result' Link: Consequently
- A2 style: The scrolls were burned, so they were hard to read.
- B2 style: The charred papyrus and ink looked identical; consequently, the texts remained impossible to read.
- Coach's Tip: Use Consequently at the start of a sentence to show a direct result of a previous fact.
-
The 'Addition' Link: Furthermore
- A2 style: The scrolls were fragile and the ink was dark.
- B2 style: The material was too fragile... Furthermore, the ink looked almost identical to the papyrus.
- Coach's Tip: Use Furthermore when you want to add a stronger or more important point to your argument.
-
The 'Surprise' Link: Although
- A2 style: They only processed 10%, but it is a major change.
- B2 style: Although only 10% of the collection has been processed, the project is now looking for experts.
- Coach's Tip: Although creates a contrast. Place it at the beginning of the sentence to set up a 'surprise' or a limitation before giving the main news.
🛠 Quick Reference Table
| A2 Word (Simple) | B2 Alternative (Bridge) | Purpose |
|---|---|---|
| So | Consequently | Result |
| Also / And | Furthermore | Adding Info |
| But | Although | Contrast |
Vocabulary Learning
Application of Machine Learning and Advanced Imaging in the Decipherment of Carbonized Herculaneum Papyri
將機器學習與高級成像技術應用於碳化赫庫蘭尼姆莎草紙的解讀
Introduction
Researchers have utilized artificial intelligence and X-ray technology to recover lost philosophical texts from scrolls carbonized during the 79 A.D. eruption of Mount Vesuvius.
研究人員利用人工智慧與 X 射線技術，從公元 79 年維蘇威火山爆發期間被碳化的卷軸中，恢復了失傳的哲學文本。
Main Body
The recovery efforts center on a collection of papyri discovered in the 18th century within a villa in Herculaneum. Historically, mechanical attempts to unroll these documents, including methods developed by Father Antonio Piaggio, frequently resulted in the structural failure of the carbonized material. Consequently, a significant portion of the archive remained intellectually inaccessible due to the chemical similarity between the charred papyrus and the ink.
此次恢復工作的核心是一批 18 世紀在赫庫蘭尼姆的一座別墅中發現的莎草紙。在歷史上，嘗試以機械方法展開這些文件（包括由 Antonio Piaggio 神父開發的方法），經常導致碳化材料的結構損壞。因此，由於燒焦的莎草紙與墨水在化學性質上高度相似，導致大量檔案在知識層面上無法被讀取。
Recent methodological shifts have seen the implementation of the Vesuvius Challenge, an initiative led by the University of Kentucky in collaboration with the Biblioteca Nazionale di Napoli Vittorio Emanuele III. By employing particle accelerators and machine-learning algorithms, researchers have achieved 'virtual unwrapping,' a non-invasive process that allows for the extraction of text without physical degradation. This technical progression has facilitated the recovery of substantial portions of work by the Epicurean philosopher Philodemus, specifically 'On Vices, Book 1' and 'On Gods, Book 8,' as well as an unidentified document dating to 200-300 B.C. regarding ethics and human behavior.
最近的方法轉向是實施「維蘇威挑戰」(Vesuvius Challenge)，這是一項由肯塔基大學與拿坡里維托里奧·埃馬努埃萊三世國家圖書館合作領導的計劃。透過使用粒子加速器與機器學習演算法，研究人員實現了「虛擬展開」，這是一種非侵入性過程，允許在不造成物理損壞的情況下提取文字。這項技術進步促使研究人員恢復了 Epicurean 哲學家 Philodemus 的大量作品，特別是《論惡習，第一卷》與《論神，第八卷》，以及一份日期在公元前 200 至 300 年之間、關於倫理與人類行為的未知文件。
Stakeholders indicate that the transition from fragment-based analysis to the recovery of complete arguments represents a paradigm shift in papyrology. While approximately 10% of the collection has been processed, the project has shifted its focus toward the recruitment of linguistic experts to interpret the recovered data. To further accelerate these developments, a $1 million incentive has been offered for the complete decipherment of a single scroll by June of the following year.
相關持份者表示，從碎片分析轉向恢復完整論點，代表了莎草紙研究 (papyrology) 的典範轉移。雖然目前僅約 10% 的收藏被處理，但計劃已將焦點轉向招募語言專家以詮釋恢復出的數據。為了進一步加速這些發展，計劃提供 100 萬美元的獎勵，只要在明年 6 月前完整解讀單一卷軸即可獲得。
Conclusion
The integration of AI has enabled the reading of previously inaccessible ancient texts, though over 600 scrolls remain to be processed.
人工智慧的整合使得先前無法讀取的古代文本得以被閱讀，儘管仍有超過 600 卷卷軸待處理。
Vocabulary Learning
The Architecture of Nominalization and 'Academic Density'
To migrate from B2 to C2, a student must stop describing actions and start describing phenomena. The provided text is a masterclass in Nominalization—the process of turning verbs (actions) or adjectives (qualities) into nouns to create a high-density, objective academic tone.
◈ The Anatomy of the Shift
Observe the transformation from a standard narrative (B2) to the scholarly register (C2) found in the text:
- B2 Narrative: Researchers tried to unroll the documents mechanically, but the carbonized material often failed structurally.
- C2 Synthesis: "...mechanical attempts to unroll these documents... frequently resulted in the structural failure of the carbonized material."
In the C2 version, the action (failing) is transformed into a concept (structural failure). This allows the writer to treat a complex event as a single object that can be analyzed, quantified, or categorized.
◈ Linguistic Pivot Points
Analyze these specific clusters from the text to see how nominalization drives the 'Academic Weight':
- "The implementation of the Vesuvius Challenge" (Instead of: 'They implemented the Vesuvius Challenge') Shifting the focus from the agent to the process.
- "The transition from fragment-based analysis to the recovery of complete arguments" (Instead of: 'They stopped analyzing fragments and started recovering arguments') This creates a conceptual bridge, framing the change as a systemic evolution.
- "A paradigm shift in papyrology" (Instead of: 'The way they do papyrology has changed completely') Use of a high-level abstract noun to encapsulate an entire intellectual movement.
◈ C2 Strategy: The 'Abstract Object' Technique
To achieve this level of sophistication, avoid starting sentences with people (Researchers, Scientists, I). Instead, start with the result or the method.
Formula: [Abstract Noun/Process] + [Causal Verb] + [Theoretical Outcome]
Example from text: "The integration (Abstract Noun) of AI has enabled (Causal Verb) the reading of previously inaccessible ancient texts (Theoretical Outcome)."
By utilizing this structure, you strip away the anecdotal and replace it with the authoritative.