Using AI to Read Old Burnt Books
Using AI to Read Old Burnt Books
使用 AI 閱讀古燒毀書籍
Introduction
Scientists use 3D scans and AI to read very old books. These books are burnt and black. The scientists do not touch the books.
科學家利用 3D 掃描與 AI 來閱讀非常古老的書籍。這些書籍被燒毀且呈現黑色。科學家並不接觸這些書籍。
Main Body
A volcano destroyed these books a long time ago. The books are very fragile. In the past, people tried to open them, but the books broke. Now, scientists use a special machine to see inside the books.
很久以前的一場火山爆發毀掉了這些書籍。這些書籍非常脆弱。過去人們曾嘗試打開它們，但書籍隨即破碎。現在，科學家使用一台特殊的機器來查看書內部。
AI helps the scientists find the ink. The ink and the paper both look black. The AI learns to see the difference. Now, the AI can read the words without opening the books.
AI 幫助科學家找到墨水。墨水與紙張看起來都是黑色的。AI 學會了如何分辨兩者的差異。現在，AI 不需要打開書籍就能閱讀其中的文字。
Scientists found new texts about art and life. They found books by old philosophers. These texts are important because they are original. They are not copies from other people.
科學家發現了關於藝術與生活的新文本。他們找到了古哲學家的著作。這些文本非常重要，因為它們是原件，而非他人的抄本。
Conclusion
AI and new cameras help us find lost books from the past.
AI 與新型相機幫助我們找回失傳的古書。
Vocabulary Learning
🔎 Focus: 'The Power of Now' vs 'The Past'
Look at how we talk about time in this story. We use simple words to show when things happen.
1. The Past (Finished) We use words like destroyed or tried.
- A volcano destroyed these books. → It happened and it is over.
2. The Present (Now) We use words like use or helps.
- AI helps the scientists. → This is happening today.
💡 Quick Vocabulary Map
| Word | Simple Meaning |
|---|---|
| Fragile | Breaks easily |
| Original | The first one (not a copy) |
| Difference | Not the same |
🛠️ Building Sentences
To make a sentence A2 level, use Adjectives (describing words) before the Noun (the thing).
Old(Adjective) +Books(Noun) → Old booksSpecial(Adjective) +Machine(Noun) → Special machineNew(Adjective) +Texts(Noun) → New texts
Vocabulary Learning
Using AI and 3D Scanning to Recover Ancient Herculaneum Scrolls
利用 AI 與 3D 掃描還原古希臘赫庫蘭尼姆卷軸
Introduction
Researchers have successfully used high-resolution 3D scanning and artificial intelligence to read carbonized scrolls from the library of Herculaneum without needing to touch the fragile documents.
研究人員成功利用高解析度 3D 掃描與人工智慧，在無需接觸脆弱文件的情況下，閱讀了赫庫蘭尼姆圖書館的碳化卷軸。
Main Body
The Herculaneum scrolls were burned during the eruption of Mount Vesuvius in 79 AD. Since their discovery in 1752, they have been almost impossible to read because the charred papyrus is too fragile and the ink looks too similar to the blackened paper. In the past, trying to unroll these documents often caused them to break. However, the Vesuvius Challenge has reduced these risks by using particle accelerator scans and AI algorithms for 'virtual unwrapping.' Currently, these AI models are adjusted for each individual scroll, although the goal is to create a single system that can detect ink across the entire collection.
赫庫蘭尼姆卷軸在公元 79 年維蘇威火山爆發期間被燒毀。自 1752 年被發現以來，由於燒焦的莎草紙過於脆弱，且墨水顏色與變黑的紙張極為相似，幾乎無法閱讀。過去嘗試展開這些文件經常導致其破損。然而，「維蘇威挑戰賽」透過粒子加速器掃描與 AI 演算法進行「虛擬展開」，降低了這些風險。目前，這些 AI 模型是針對每卷卷軸個別調整的，但目標是建立一個單一系統，能夠偵測整個收藏集中的墨水。
Recently, researchers extracted 1.5 meters of text from a scroll dating back to the 2nd century BC. The text discusses ethics, art, and human nature, and it is likely that the Stoic philosopher Chrysippus wrote it. Furthermore, they recovered 70 columns from a work titled 'On Vices' and expanded another series by Philodemus. These discoveries are important because they provide original texts, which means historians no longer have to rely on summaries written by later authors that might be biased. The project is now moving from recovering small sections to reading entire scrolls.
最近，研究人員從一卷追溯至公元前 2 世紀的卷軸中提取了 1.5 公尺的文字。文本討論了倫理學、藝術與人性，很可能出自斯多葛哲學家克律西波斯之手。此外，他們還從一部名為《論惡習》的作品中還原了 70 欄文字，並擴充了菲洛得姆斯的另一系列作品。這些發現至關重要，因為它們提供了原典文本，這意味著歷史學家不再需要依賴後世作者可能帶有偏見的摘要。該計畫目前正從還原小片段過渡到閱讀整卷卷軸。
Conclusion
The combination of AI and advanced imaging has moved the project from a technical experiment to the systematic recovery of lost philosophical works.
AI 與先進影像技術的結合，使該計畫從一項技術實驗，轉變為對失傳哲學作品的系統性還原。
Vocabulary Learning
🚀 THE B2 LEAP: Moving from 'Simple' to 'Precise'
At the A2 level, you describe the world using basic verbs like get, do, make, or have. To reach B2, you must replace these with Precise Action Verbs.
Look at how the article transforms simple ideas into professional, academic English:
1. The "Get" Upgrade
- A2 approach: "They got the text from the scroll."
- B2 approach: "Researchers extracted 1.5 meters of text."
- Why it matters: "Extracted" implies a careful, technical process of removing something specific. It changes the tone from a casual conversation to a scientific report.
2. The "Change" Upgrade
- A2 approach: "The AI changed to fit each scroll."
- B2 approach: "AI models are adjusted for each individual scroll."
- Why it matters: "Adjusted" describes a small, precise change made to achieve a better result. This is a key B2 vocabulary shift: specifying how something changed.
3. The "Help" Upgrade
- A2 approach: "The AI helped the project move forward."
- B2 approach: "The combination of AI... has moved the project from a technical experiment to the systematic recovery..."
- Why it matters: Notice the use of "from [Point A] to [Point B]". B2 learners don't just say things improved; they describe the transition and the scale of the progress.
💡 Pro-Tip for your transition: Whenever you want to use the word do, get, or make, stop. Ask yourself: "What is the exact action happening here?"
- Is it recovering (finding something lost)?
- Is it expanding (making something larger)?
- Is it detecting (finding something hidden)?
Using these specific verbs is the fastest way to sound like a B2 speaker.
Vocabulary Learning
Application of Computational Imaging and Artificial Intelligence in the Recovery of Carbonized Herculaneum Papyri
計算成像與人工智慧在恢復碳化赫庫蘭尼姆莎草紙中的應用
Introduction
Researchers have successfully utilized high-resolution 3D scanning and artificial intelligence to read carbonized scrolls from the library of Herculaneum without physical intervention.
研究人員成功利用高解析度 3D 掃描與人工智慧，在無需物理干預的情況下，讀取來自赫庫蘭尼姆圖書館的碳化卷軸。
Main Body
The Herculaneum scrolls, carbonized during the 79 AD eruption of Mount Vesuvius, have remained largely illegible since their 1752 discovery due to the fragility of the charred papyri and the visual similarity between the ink and the substrate. Historically, physical attempts to unroll these documents frequently resulted in structural degradation. The Vesuvius Challenge has mitigated these risks through the implementation of particle accelerator scans and the development of AI algorithms designed for 'virtual unwrapping.' These computational models are currently calibrated to individual scrolls to account for variations in ink composition, though the objective is to achieve a generalized model capable of universal ink detection across the collection.
赫庫蘭尼姆卷軸在西元 79 年維蘇威火山爆發期間被碳化，由於燒焦的莎草紙極其脆弱，且墨水與底材在視覺上非常相似，自 1752 年發現以來大多無法閱讀。在歷史上，嘗試物理性地展開這些文件經常導致結構損壞。「維蘇威挑戰」透過實施粒子加速器掃描並開發專為「虛擬展開」設計的 AI 演算法，降低了這些風險。目前的計算模型針對個別卷軸進行校準，以適應墨水成分的差異，但目標是實現一個能夠在整個收藏中通用偵測墨水的通用模型。
Recent achievements include the extraction of 1.5 meters of text from a scroll core dating to the 2nd century BC. The content pertains to ethics, art, and human nature, with references to the nephew of Chrysippus, leading researchers to identify the Stoic philosopher as the probable author. Additionally, the recovery of 70 columns from 'On Vices, Book 1' and the expansion of Philodemus's 'On Gods' to at least an eight-book series have been documented. These findings are significant as they provide primary source texts, thereby reducing reliance on the potentially biased summaries provided by subsequent ancient authors. The project continues to scale, with the recent transition from partial column recovery to the full reading of entire scrolls.
最近的成就包括從一卷可追溯至公元前 2 世紀的卷軸核心中提取了 1.5 公尺的文本。內容涉及倫理、藝術與人性，並提及克律西波斯的侄子，使研究人員認定這位斯多葛派哲學家可能是作者。此外，紀錄顯示已恢復《論惡行》第一卷的 70 欄文本，且費洛德姆斯的《論神》已擴展至至少八卷系列。這些發現具有重要意義，因為它們提供了第一手原始文本，從而減少了對後世古代作者可能帶有偏見的摘要之依賴。該項目持續擴大規模，近期已從恢復部分欄位過渡到完整閱讀整卷卷軸。
Conclusion
The integration of AI and advanced imaging has transitioned the project from technical validation to the systematic recovery of lost philosophical texts.
AI 與進階成像技術的結合，使該項目從技術驗證階段轉型為系統性地恢復失傳的哲學文本。
Vocabulary Learning
The Architecture of 'Nominalization' and the C2 Passive
To bridge the gap from B2 to C2, a student must move beyond describing actions and begin constructing concepts. The provided text is a masterclass in conceptual density, achieved primarily through high-level nominalization—the process of turning verbs and adjectives into nouns to create a formal, objective academic tone.
◈ The Shift from Process to Entity
Compare a B2-level sentence with the C2-level construction found in the text:
- B2 (Action-oriented): Researchers used particle accelerator scans and developed AI algorithms to reduce the risks of damaging the scrolls.
- C2 (Entity-oriented): The Vesuvius Challenge has mitigated these risks through the implementation of particle accelerator scans and the development of AI algorithms...
In the C2 version, the focus shifts from the people doing the work to the mechanisms of the work (implementation, development, mitigation). This removes the 'human' element and replaces it with 'systemic' authority.
◈ Precision through Technical Collocations
C2 mastery requires the ability to pair abstract nouns with precise, low-frequency modifiers. Observe these clusters from the article:
Structural degradationNot just 'breaking' or 'damage,' but a systemic loss of integrity.Technical validationNot just 'testing if it works,' but the formal process of proving a methodology.Virtual unwrappingA metaphorical compound noun that encapsulates a complex computational process into a single, digestible concept.
◈ The 'Nuanced Qualifier' Strategy
Note the use of hedging and specification to avoid overgeneralization—a hallmark of scholarly C2 English:
- "...potentially biased summaries": The word
potentiallytransforms a definitive claim into a scholarly hypothesis, protecting the writer from inaccuracy while still implying a critical perspective. - "...probable author": The shift from 'likely' to
probablemaintains a higher register of formality.
C2 Takeaway: To write at this level, stop asking "Who did what?" and start asking "What phenomenon is occurring?" Transform your verbs into nouns, and your adjectives into precise technical descriptors.