ABOUT THE SPEAKER
Rajesh Rao - Computational neuroscientist
Rajesh Rao seeks to understand the human brain through computational modeling, on two fronts: developing computer models of our minds, and using tech to decipher the 4,000-year-old lost script of the Indus Valley civilization.

Why you should listen

Rajesh Rao is looking for the computational principles underlying the brain's remarkable ability to learn, process and store information --  hoping to apply this knowledge to the task of building adaptive robotic systems and artificially intelligent agents.

Some of the questions that motivate his research include: How does the brain learn efficient representations of novel objects and events occurring in the natural environment? What are the algorithms that allow useful sensorimotor routines and behaviors to be learned? What computational mechanisms allow the brain to adapt to changing circumstances and remain fault-tolerant and robust?

By investigating these questions within a computational and probabilistic framework, it is often possible to derive algorithms that not only provide functional interpretations of neurobiological properties but also suggest solutions to difficult problems in computer vision, speech, robotics and artificial intelligence.

More profile about the speaker
Rajesh Rao | Speaker | TED.com
TED2011

Rajesh Rao: A Rosetta Stone for a lost language

羅傑許: 古印度河文字符號的羅賽塔石碑

Filmed:
2,103,451 views

羅傑許樂談『填字文字遊戲之始』,呈現解讀4000年前的印度抽象符號之道。他解釋如何藉由現代電腦科技幫助解讀古印度河文字,解開印度古文明之謎。
- Computational neuroscientist
Rajesh Rao seeks to understand the human brain through computational modeling, on two fronts: developing computer models of our minds, and using tech to decipher the 4,000-year-old lost script of the Indus Valley civilization. Full bio

Double-click the English transcript below to play the video.

00:15
I'd like to begin開始 with a thought experiment實驗.
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首先,我們先做個實驗
00:19
Imagine想像 that it's 4,000 years年份 into the future未來.
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想像距今4000年後
00:22
Civilization文明 as we know it
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我們所瞭解的文明
00:24
has ceased停止 to exist存在 --
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已不存在
00:26
no books圖書,
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沒有書
00:28
no electronic電子 devices設備,
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沒有電子產品
00:31
no FacebookFacebook的 or Twitter推特.
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沒有臉書或推特
00:34
All knowledge知識 of the English英語 language語言 and the English英語 alphabet字母
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所有以英文寫成的知識甚至是英文符號
00:37
has been lost丟失.
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都已經消失
00:39
Now imagine想像 archeologists考古學家
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現在,再來想想考古學家們
00:41
digging挖掘 through通過 the rubble瓦礫 of one of our cities城市.
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在某個城市的殘磚瓦片中挖掘
00:43
What might威力 they find?
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他們會發現什麼呢?
00:45
Well perhaps也許 some rectangular長方形 pieces of plastic塑料
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可能會發現長形的塑膠碎片
00:48
with strange奇怪 symbols符號 on them.
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上面印怪異的符號
00:51
Perhaps也許 some circular pieces of metal金屬.
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又或者發現一些圓形的金屬碎片
00:54
Maybe some cylindrical圓柱形 containers集裝箱
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也可能是些圓柱型的容器
00:56
with some symbols符號 on them.
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上頭有些符號
00:58
And perhaps也許 one archeologist考古學家 becomes an instant瞬間 celebrity名人
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還可能有某個考古學家一夕成名
01:01
when she discovers發現的 --
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是因為她發現了
01:03
buried隱藏 in the hills丘陵 somewhere某處 in North America美國 --
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埋沒在北美的某個山上的
01:05
massive大規模的 versions版本 of these same相同 symbols符號.
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一堆大量相同符號的圖片
01:10
Now let's ask ourselves我們自己,
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現在讓我們捫心自問
01:12
what could such這樣 artifacts文物 say about us
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對4000年後欲瞭解我們現在生活的人們
01:15
to people 4,000 years年份 into the future未來?
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這些物品有什麼意義?
01:18
This is no hypothetical假想 question.
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這不是假設
01:20
In fact事實, this is exactly究竟 the kind of question we're faced面對 with
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事實上,這正是當我們去瞭解
01:23
when we try to understand理解 the Indus梧桐 Valley civilization文明,
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4000年前印度河文明
01:26
which哪一個 existed存在 4,000 years年份 ago.
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所必須面對的問題
01:28
The Indus梧桐 civilization文明 was roughly大致 contemporaneous同期
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古印度河文明和較為人所熟知的
01:31
with the much better known已知 Egyptian埃及人 and the Mesopotamian美索不達米亞 civilizations文明,
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埃及以及美所不達米亞文化同時期
01:34
but it was actually其實 much larger than either of these two civilizations文明.
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但實際上印度河文明的範圍比這兩者還要大
01:37
It occupied佔據 the area
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它所佔的範圍
01:39
of approximately one million百萬 square廣場 kilometers公里,
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近乎100萬平方公里
01:41
covering覆蓋 what is now Pakistan巴基斯坦,
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涵蓋了今天的巴基斯坦
01:43
Northwestern西北方 India印度
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東北印度
01:45
and parts部分 of Afghanistan阿富汗 and Iran伊朗.
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和部份的阿富汗及伊朗
01:47
Given特定 that it was such這樣 a vast廣大 civilization文明,
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如此廣大的文明
01:49
you might威力 expect期望 to find really powerful強大 rulers統治者, kings國王,
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你可能會期待尋找到主權者,國王
01:53
and huge巨大 monuments紀念碑 glorifying榮耀 these powerful強大 kings國王.
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以及用來紀念王者的巨大紀念碑
01:56
In fact事實,
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事實上
01:58
what archeologists考古學家 have found發現 is none沒有 of that.
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考古學者沒有發現那些
02:00
They've他們已經 found發現 small objects對象 such這樣 as these.
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他們發現了像這些的小東西
02:03
Here's這裡的 an example of one of these objects對象.
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這裡有其中的一樣物品
02:06
Well obviously明顯 this is a replica複製品.
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很明顯地這只是個複製品
02:08
But who is this person?
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但這是誰呢?
02:11
A king國王? A god?
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是某個國王?是某個神?
02:13
A priest牧師?
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是某個祭司?
02:15
Or perhaps也許 an ordinary普通 person
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又或者只是一個普通人
02:17
like you or me?
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就像你我一樣?
02:19
We don't know.
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我們不知道
02:21
But the Indus梧桐 people also left behind背後 artifacts文物 with writing寫作 on them.
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但是古印度河的人們也在他們的人造品後面留了支字片語
02:24
Well no, not pieces of plastic塑料,
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不,不是塑膠片
02:26
but stone seals密封件, copper tablets平板電腦,
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是 石頭章,銅牌
02:29
pottery陶器 and, surprisingly出奇,
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陶器還有一個令人驚訝的
02:31
one large sign標誌 board,
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大的符號版
02:33
which哪一個 was found發現 buried隱藏 near the gate of a city.
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這被掩埋在城門附近
02:35
Now we don't know if it says Hollywood好萊塢,
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我們不知道在好萊塢
02:37
or even Bollywood寶萊塢 for that matter.
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還是寶萊塢這些物品能有什麼功用
02:39
In fact事實, we don't even know
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事實上,我們甚至不知道
02:41
what any of these objects對象 say,
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這些物件有什麼意義
02:43
and that's because the Indus梧桐 script腳本 is undeciphered破譯.
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因為這些印度河文字是解不開的謎
02:46
We don't know what any of these symbols符號 mean.
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我們不知道這些符號的意思
02:48
The symbols符號 are most commonly常用 found發現 on seals密封件.
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這些符號常出現在印章上
02:51
So you see up there one such這樣 object目的.
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你們可以看到這裡有個類似的物品
02:53
It's the square廣場 object目的 with the unicorn-like麒麟狀 animal動物 on it.
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這個方形的物品上有個像是獨角獸的動物
02:56
Now that's a magnificent華麗的 piece of art藝術.
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這是一件很壯觀的藝術品
02:58
So how big do you think that is?
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你覺得這塊有多大呢?
03:00
Perhaps也許 that big?
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這麼大?
03:02
Or maybe that big?
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還是這麼大?
03:04
Well let me show顯示 you.
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讓我告訴你吧!
03:07
Here's這裡的 a replica複製品 of one such這樣 seal密封.
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這裡有個印章的複製品
03:10
It's only about one inch英寸 by one inch英寸 in size尺寸 --
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只有一英吋平方大
03:12
pretty漂亮 tiny.
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非常小
03:14
So what were these used for?
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那這些東西用來作什麼呢?
03:16
We know that these were used for stamping沖壓 clay粘土 tags標籤
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這些用來蓋在黏土標簽上
03:19
that were attached to bundles捆綁 of goods產品 that were sent發送 from one place地點 to the other.
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然後貼在一堆貨品,以利於從此地運送到其他地方
03:22
So you know those packing填料 slips卡瓦 you get on your FedEx聯邦快遞 boxes盒子?
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所以你知道會從FedEx箱子上拿到這些送貨單了嗎?
03:25
These were used to make those kinds of packing填料 slips卡瓦.
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這些泥版就是用來作為包裹送貨單
03:28
You might威力 wonder奇蹟 what these objects對象 contain包含
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你可能想用上面的文字來猜測
03:31
in terms條款 of their text文本.
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這些東西的內容
03:33
Perhaps也許 they're the name名稱 of the sender寄件人
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可能是寄送者的名字
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or some information信息 about the goods產品
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或是關於產品
03:37
that are being存在 sent發送 from one place地點 to the other -- we don't know.
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從某地送到其他地方的資訊--我們不知道
03:40
We need to decipher解碼 the script腳本 to answer回答 that question.
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我們需要解開這段文字才能知道回答這問題
03:42
Deciphering解讀 the script腳本
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解謎這些文字符號
03:44
is not just an intellectual知識分子 puzzle難題;
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不單只是一個得動腦思考的謎題
03:46
it's actually其實 become成為 a question
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事實上還牽涉到
03:48
that's become成為 deeply intertwined交織
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與南亞的政治與文化歷史
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with the politics政治 and the cultural文化 history歷史 of South Asia亞洲.
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極為相關的問題
03:53
In fact事實, the script腳本 has become成為 a battleground戰場 of sorts排序
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實際上,對這些文字符號
03:56
between之間 three different不同 groups of people.
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有三種不同的解讀意見
03:58
First, there's a group of people
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第一,有一群人
04:00
who are very passionate多情 in their belief信仰
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他們堅決相信
04:02
that the Indus梧桐 script腳本
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認為古印度河文字
04:04
does not represent代表 a language語言 at all.
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根本不是種語言
04:06
These people believe that the symbols符號
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這些人認為這些符號就像是
04:08
are very similar類似 to the kind of symbols符號 you find on traffic交通 signs跡象
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交通號誌
04:11
or the emblems徽記 you find on shields盾牌.
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或者是盾上面的一些象徵符號
04:14
There's a second第二 group of people
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還有第二群人
04:16
who believe that the Indus梧桐 script腳本 represents代表 an Indo-European印歐 language語言.
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認為印度河文字代表著某個印歐語言
04:19
If you look at a map地圖 of India印度 today今天,
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如果來看今天的印度地圖
04:21
you'll你會 see that most of the languages語言 spoken in North India印度
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你會看到北印度大部份使用的語言
04:24
belong屬於 to the Indo-European印歐 language語言 family家庭.
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都來自於印歐語系
04:27
So some people believe that the Indus梧桐 script腳本
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所以一些人相信古印度河文字
04:29
represents代表 an ancient Indo-European印歐 language語言 such這樣 as Sanskrit梵文.
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是某種古老的印歐語,就像梵語一樣
04:32
There's a last group of people
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最後一群人
04:34
who believe that the Indus梧桐 people
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相信古印度人
04:37
were the ancestors祖先 of people living活的 in South India印度 today今天.
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是現在住在南印度人的祖先
04:40
These people believe that the Indus梧桐 script腳本
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這些人覺得古印度文字
04:42
represents代表 an ancient form形成
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是德拉威語系下的
04:44
of the Dravidian德拉威 language語言 family家庭,
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的某個語系
04:46
which哪一個 is the language語言 family家庭 spoken in much of South India印度 today今天.
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現今南印度多數人皆使用德拉威語系
04:49
And the proponents支持者 of this theory理論
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支持這理論者
04:51
point to that small pocket口袋 of Dravidian-speaking德拉威語 people in the North,
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指出一小部份使用德拉威語的北印度人
04:54
actually其實 near Afghanistan阿富汗,
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確實鄰近阿富汗
04:56
and they say that perhaps也許, sometime某時 in the past過去,
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他們認為或許在過去的某個時期
04:59
Dravidian德拉威 languages語言 were spoken all over India印度
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全印度皆使用德拉威語
05:02
and that this suggests提示
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這也意味著
05:04
that the Indus梧桐 civilization文明 is perhaps也許 also Dravidian德拉威.
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印度河文明或許就是德拉威文明
05:07
Which哪一個 of these hypotheses假設 can be true真正?
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這些假設哪個是真的呢?
05:10
We don't know, but perhaps也許 if you deciphered破譯 the script腳本,
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我們不知道,但若能解開這些文字符號
05:12
you would be able能夠 to answer回答 this question.
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就可以找到答案
05:14
But deciphering破譯 the script腳本 is a very challenging具有挑戰性的 task任務.
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但解開這些文字內容不容易
05:16
First, there's no Rosetta羅塞塔 Stone.
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第一,我們沒有羅薩塔石
05:18
I don't mean the software軟件;
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我不是指語言學習軟體
05:20
I mean an ancient artifact神器
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我是說一件古物
05:22
that contains包含 in the same相同 text文本
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分別以我們知道與不知道的文字
05:24
both a known已知 text文本 and an unknown未知 text文本.
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書寫著同樣文字內容
05:27
We don't have such這樣 an artifact神器 for the Indus梧桐 script腳本.
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印度河文化中並沒有像那樣的古物
05:30
And furthermore此外, we don't even know what language語言 they spoke.
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說得更明白一點,我們不知道他們使用哪種語言
05:33
And to make matters事項 even worse更差,
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而且更糟的是
05:35
most of the text文本 that we have are extremely非常 short.
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大部份的文字都相當短
05:37
So as I showed顯示 you, they're usually平時 found發現 on these seals密封件
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就像我給大家看的,最常發現的是這些印章類的東西
05:39
that are very, very tiny.
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他們都非常非常地小
05:41
And so given特定 these formidable強大 obstacles障礙,
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這讓我們更難解讀
05:43
one might威力 wonder奇蹟 and worry擔心
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有些人或許會擔心
05:45
whether是否 one will ever be able能夠 to decipher解碼 the Indus梧桐 script腳本.
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是否真的有誰可以解開古印度河文字呢?
05:48
In the rest休息 of my talk,
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在我接下來的演講中
05:50
I'd like to tell you about how I learned學到了 to stop worrying令人擔憂
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我要來告訴各位我怎麼克服這些解讀障礙
05:52
and love the challenge挑戰 posed構成 by the Indus梧桐 script腳本.
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並喜歡上解讀古印度河文字所帶來的挑戰
05:54
I've always been fascinated入迷 by the Indus梧桐 script腳本
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我熱衷於古印度河文字
05:57
ever since以來 I read about it in a middle中間 school學校 textbook教科書.
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大概始自於在中學課本
05:59
And why was I fascinated入迷?
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為什麼我如此著迷?
06:01
Well it's the last major重大的 undeciphered破譯 script腳本 in the ancient world世界.
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因為這是目前唯一未被解開的重要古文字符號
06:05
My career事業 path路徑 led me to become成為 a computational計算 neuroscientist神經學家,
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我的職業是計算神經科學
06:08
so in my day job工作,
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所以我每天的工作
06:10
I create創建 computer電腦 models楷模 of the brain
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就是製造出大腦的電腦模型
06:12
to try to understand理解 how the brain makes品牌 predictions預測,
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來試圖瞭解大腦如何預知事物
06:15
how the brain makes品牌 decisions決定,
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如何下判斷
06:17
how the brain learns獲悉 and so on.
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如何學習等
06:19
But in 2007, my path路徑 crossed越過 again with the Indus梧桐 script腳本.
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但在2007年,我與古印度河文字重逢
06:22
That's when I was in India印度,
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我當時人在印度
06:24
and I had the wonderful精彩 opportunity機會
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有著很好的機會
06:26
to meet遇到 with some Indian印度人 scientists科學家們
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與印度科學家見面
06:28
who were using運用 computer電腦 models楷模 to try to analyze分析 the script腳本.
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他們使用電腦模型去分析那些文字符號
06:31
And so it was then that I realized實現
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我想到
06:33
there was an opportunity機會 for me to collaborate合作 with these scientists科學家們,
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可以藉由這次機會與這些科學家合作
06:36
and so I jumped跳下 at that opportunity機會.
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所以我抓住了這次機會
06:38
And I'd like to describe描述 some of the results結果 that we have found發現.
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我想說明我們所發現的一些成果
06:40
Or better yet然而, let's all collectively decipher解碼.
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甚至,讓我們一起來解讀這些文字符號
06:43
Are you ready準備?
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準備好了嗎?
06:45
The first thing that you need to do when you have an undeciphered破譯 script腳本
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當你有段未解的文字符號時,你必須先
06:48
is try to figure數字 out the direction方向 of writing寫作.
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去分辨書寫的方向
06:50
Here are two texts文本 that contain包含 some symbols符號 on them.
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這裡有兩段相同符號的文字
06:53
Can you tell me
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你能告訴我
06:55
if the direction方向 of writing寫作 is right to left or left to right?
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書寫的方向是由右到左還是左到右呢?
06:58
I'll give you a couple一對 of seconds.
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我給大家幾分鐘的時間
07:01
Okay. Right to left, how many許多? Okay.
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好!右到左。有多少?好
07:04
Okay. Left to right?
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左到右呢?
07:06
Oh, it's almost幾乎 50/50. Okay.
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喔,大概一半一半。好
07:08
The answer回答 is:
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答案是:
07:10
if you look at the left-hand左手 side of the two texts文本,
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如果你看這兩段文字的左側
07:12
you'll你會 notice注意 that there's a cramping抽筋 of signs跡象,
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你會注意到左邊的符號有點擁擠
07:15
and it seems似乎 like 4,000 years年份 ago,
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似乎是4000年前
07:17
when the scribe was writing寫作 from right to left,
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當書寫者從右寫到左時
07:19
they ran out of space空間.
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因空間不夠
07:21
And so they had to cram填滿 the sign標誌.
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只得縮小間距
07:23
One of the signs跡象 is also below下面 the text文本 on the top最佳.
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其中有一個符號也出現在下面的文字符號中
07:25
This suggests提示 the direction方向 of writing寫作
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意味著書寫的方向
07:27
was probably大概 from right to left,
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應該是從右到左
07:29
and so that's one of the first things we know,
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所以我們知道的第一件事是
07:31
that directionality方向性 is a very key aspect方面 of linguistic語言 scripts腳本.
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書寫方向是語言符號中的關鍵項目
07:34
And the Indus梧桐 script腳本 now has
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古印度河文字有個
07:36
this particular特定 property屬性.
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特別的特徵
07:38
What other properties性能 of language語言 does the script腳本 show顯示?
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這文字符號中還有什麼其他語言特徵?
07:40
Languages語言 contain包含 patterns模式.
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語言會有一定模式
07:42
If I give you the letter Q
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如果我給你一個字母Q
07:44
and ask you to predict預測 the next下一個 letter, what do you think that would be?
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然後請你猜下一個字母,你們覺得會是什麼呢?
07:47
Most of you said U, which哪一個 is right.
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大部份人都會說U,答對了
07:49
Now if I asked you to predict預測 one more letter,
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現在我請你們再猜下個字母
07:51
what do you think that would be?
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你們覺得會是什麼呢?
07:53
Now there's several一些 thoughts思念. There's E. It could be I. It could be A,
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現在這邊有很多種答案,有人說E,有人說I,也可能是A
07:56
but certainly當然 not B, C or D, right?
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但絕對不是B,C,D,對吧?
07:59
The Indus梧桐 script腳本 also exhibits展品 similar類似 kinds of patterns模式.
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印度河文字也有類似的模式
08:02
There's a lot of text文本 that start開始 with this diamond-shaped菱形 symbol符號.
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有很多段文字的開頭都有菱形符號
08:05
And this in turn tends趨向 to be followed其次
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接著下個字
08:07
by this quotation行情 marks-like商標類 symbol符號.
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會有類似引號的符號
08:09
And this is very similar類似 to a Q and U example.
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這非常的類似Q跟U的例子
08:11
This symbol符號 can in turn be followed其次
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這符號之後
08:13
by these fish-like魚肉狀 symbols符號 and some other signs跡象,
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會有著類似魚等其他的符號
08:16
but never by these other signs跡象 at the bottom底部.
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但不會是最底下出現的這些符號
08:18
And furthermore此外, there's some signs跡象
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更詳細來說,有些符號
08:20
that really prefer比較喜歡 the end結束 of texts文本,
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比較常出現在文章結尾
08:22
such這樣 as this jar-shaped罐子形 sign標誌,
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像是這壺型的記號
08:24
and this sign標誌, in fact事實, happens發生 to be
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事實上,這記號剛好是
08:26
the most frequently經常 occurring發生 sign標誌 in the script腳本.
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在這些文句中最常出現的記號
08:28
Given特定 such這樣 patterns模式, here was our idea理念.
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看出這些慣用模式後,我們有個想法
08:31
The idea理念 was to use a computer電腦
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就是用電腦
08:33
to learn學習 these patterns模式,
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去瞭解這些圖案
08:35
and so we gave the computer電腦 the existing現有 texts文本.
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我們將這些文字符號輸入電腦
08:38
And the computer電腦 learned學到了 a statistical統計 model模型
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然後電腦以某種統計模型
08:40
of which哪一個 symbols符號 tend趨向 to occur發生 together一起
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算出哪些符號會一起出現
08:42
and which哪一個 symbols符號 tend趨向 to follow跟隨 each other.
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而哪些符號常以先後順序出現
08:44
Given特定 the computer電腦 model模型,
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使用此電腦模式
08:46
we can test測試 the model模型 by essentially實質上 quizzingquizzing it.
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我們可以以測驗的方式測試此模式
08:49
So we could deliberately故意 erase抹去 some symbols符號,
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如此我們可以知道某些符號可以被省去
08:51
and we can ask it to predict預測 the missing失踪 symbols符號.
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甚至可以重建不完整的文字符號
08:54
Here are some examples例子.
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這裡有些例子
09:00
You may可能 regard看待 this
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大家可以參考一下
09:02
as perhaps也許 the most ancient game遊戲
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比如說像是命運轉輪
09:04
of Wheel of Fortune幸運.
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這種古老的遊戲
09:08
What we found發現
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我們發現
09:10
was that the computer電腦 was successful成功 in 75 percent百分 of the cases
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電腦預測符號的成功率
09:12
in predicting預測 the correct正確 symbol符號.
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達75%
09:14
In the rest休息 of the cases,
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而剩下的25%
09:16
typically一般 the second第二 best最好 guess猜測 or third第三 best最好 guess猜測 was the right answer回答.
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理論上來說,電腦提供的第二或第三選項也會是正確答案
09:19
There's also practical實際的 use
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這種預測途徑
09:21
for this particular特定 procedure程序.
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很實用
09:23
There's a lot of these texts文本 that are damaged破損.
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很多文字符號都已經損毀
09:25
Here's這裡的 an example of one such這樣 text文本.
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這裡有個例子
09:27
And we can use the computer電腦 model模型 now to try to complete完成 this text文本
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我們可以使用電腦模式來修復這段文字內容
09:30
and make a best最好 guess猜測 prediction預測.
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且做出最佳的猜測
09:32
Here's這裡的 an example of a symbol符號 that was predicted預料到的.
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這邊有一成功預測的例子
09:35
And this could be really useful有用 as we try to decipher解碼 the script腳本
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它真的非常有用,在解開文字的過程中
09:37
by generating發電 more data數據 that we can analyze分析.
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讓我們得到了更多可供分析的數據
09:40
Now here's這裡的 one other thing you can do with the computer電腦 model模型.
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現在多了一件藉由電腦模式解決的例子
09:43
So imagine想像 a monkey
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請想像有隻猴子
09:45
sitting坐在 at a keyboard鍵盤.
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坐在鍵盤上
09:47
I think you might威力 get a random隨機 jumble混亂 of letters that looks容貌 like this.
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我猜會得到ㄧ堆像這樣隨機跑出的字母
09:50
Such這樣 a random隨機 jumble混亂 of letters
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這些隨機混亂的字母
09:52
is said to have a very high entropy.
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說明了很高的熵
09:54
This is a physics物理 and information信息 theory理論 term術語.
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這是物理跟資訊理論說法
09:56
But just imagine想像 it's a really random隨機 jumble混亂 of letters.
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但想像這是相當隨機混亂的字母排列
09:59
How many許多 of you have ever spilled coffee咖啡 on a keyboard鍵盤?
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你們有誰曾經將咖啡濺在鍵盤上?
10:03
You might威力 have encountered遇到 the stuck-key卡鍵 problem問題 --
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可能會有鍵盤卡住的問題
10:05
so basically基本上 the same相同 symbol符號 being存在 repeated重複 over and over again.
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所以基本上有些同樣的符號會一再的重複
10:08
This kind of a sequence序列 is said to have a very low entropy
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這類的數列可以說有著非常低的熵
10:11
because there's no variation變異 at all.
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因為它們一點都沒變化
10:13
Language語言, on the other hand, has an intermediate中間 level水平 of entropy;
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語言,從別個角度說,有著中間程度的熵
10:16
it's neither也不 too rigid死板,
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他的排列不會太單調
10:18
nor也不 is it too random隨機.
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也不會過於隨機
10:20
What about the Indus梧桐 script腳本?
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而古印度河文字呢?
10:22
Here's這裡的 a graph圖形 that plots地塊 the entropies of a whole整個 bunch of sequences序列.
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我們看到以上所有例子的數值
10:26
At the very top最佳 you find the uniformly均勻 random隨機 sequence序列,
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最上面是排序最為隨機的序列
10:28
which哪一個 is a random隨機 jumble混亂 of letters --
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是一連串隨機的字母
10:30
and interestingly有趣, we also find
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有趣的是,我們還發現
10:32
the DNA脫氧核糖核酸 sequence序列 from the human人的 genome基因組 and instrumental儀器的 music音樂.
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人類DNA的排序以及旋律優美的音樂
10:35
And both of these are very, very flexible靈活,
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兩者排序都很有彈性
10:37
which哪一個 is why you find them in the very high range範圍.
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這是兩者數值較高
10:39
At the lower降低 end結束 of the scale規模,
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在圖表較下方的地方
10:41
you find a rigid死板 sequence序列, a sequence序列 of all A's,
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你可以看到最單調的排序是一串字母A
10:43
and you also find a computer電腦 program程序,
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你也會發現一種電腦程式
10:45
in this case案件 in the language語言 FortranFortran語言,
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一種電腦翻譯語言Fortran
10:47
which哪一個 obeys服從 really strict嚴格 rules規則.
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即是照著這種嚴謹的規則
10:49
Linguistic語言 scripts腳本
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語言文字符號
10:51
occupy佔據 the middle中間 range範圍.
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正落於這些中間值
10:53
Now what about the Indus梧桐 script腳本?
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古印度河文字呢?
10:55
We found發現 that the Indus梧桐 script腳本
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我們發現它落於
10:57
actually其實 falls下降 within the range範圍 of the linguistic語言 scripts腳本.
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語言文字範圍值中
10:59
When this result結果 was first published發表,
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這結果首次被公開
11:01
it was highly高度 controversial爭論的.
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即引起高度爭議
11:04
There were people who raised上調 a hue色調 and cry,
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有人提出強烈批評
11:07
and these people were the ones那些 who believed相信
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這些批評的人相信
11:09
that the Indus梧桐 script腳本 does not represent代表 language語言.
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古印度河文字根本不是文字
11:12
I even started開始 to get some hate討厭 mail郵件.
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我甚至收到一些惡意信函
11:14
My students學生們 said
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我的學生說
11:16
that I should really seriously認真地 consider考慮 getting得到 some protection保護.
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我應該要好好保護自身安危
11:19
Who'd誰願意 have thought
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誰能料到
11:21
that deciphering破譯 could be a dangerous危險 profession職業?
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解讀古文字會變成一種危險職業
11:23
What does this result結果 really show顯示?
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這結果說明了什麼?
11:25
It shows節目 that the Indus梧桐 script腳本
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他說明了古印度河文字
11:27
shares分享 an important重要 property屬性 of language語言.
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有著重要的語言特徵
11:29
So, as the old saying goes,
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所以,就像古老的諺語說得
11:31
if it looks容貌 like a linguistic語言 script腳本
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如果這看起來像是語言性文字
11:33
and it acts行為 like a linguistic語言 script腳本,
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且它也有語言性文字的功用
11:35
then perhaps也許 we may可能 have a linguistic語言 script腳本 on our hands.
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那麼我們所擁有的就是語言性文字
11:38
What other evidence證據 is there
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有什麼其他證據顯示
11:40
that the script腳本 could actually其實 encode編碼 language語言?
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這類文字能對解譯語言呢?
11:42
Well linguistic語言 scripts腳本 can actually其實 encode編碼 multiple languages語言.
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語言性文字的確能解譯多種語言
11:45
So for example, here's這裡的 the same相同 sentence句子 written書面 in English英語
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例如,一句英文
11:48
and the same相同 sentence句子 written書面 in Dutch荷蘭人
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還有一句相同的荷蘭文
11:50
using運用 the same相同 letters of the alphabet字母.
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都用同樣的字母
11:52
If you don't know Dutch荷蘭人 and you only know English英語
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如果你不懂荷蘭文,只懂英文
11:55
and I give you some words in Dutch荷蘭人,
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你看一些荷蘭文
11:57
you'll你會 tell me that these words contain包含
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你會告訴我裡面有些字
11:59
some very unusual異常 patterns模式.
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的排序很奇怪
12:01
Some things are not right,
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有點不對勁
12:03
and you'll你會 say these words are probably大概 not English英語 words.
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你會說這些字不是英文
12:06
The same相同 thing happens發生 in the case案件 of the Indus梧桐 script腳本.
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在古印度河文字中,也是同樣的道理
12:08
The computer電腦 found發現 several一些 texts文本 --
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電腦發現了一些文字
12:10
two of them are shown顯示 here --
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這裡有兩段
12:12
that have very unusual異常 patterns模式.
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他們都有著非常少見的符號
12:14
So for example the first text文本:
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以第一個例子來說
12:16
there's a doubling加倍 of this jar-shaped罐子形 sign標誌.
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可以看到兩個壺形記號出現
12:19
This sign標誌 is the most frequently-occurring多發病 sign標誌
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這種記號是最常在古印度河文字中
12:21
in the Indus梧桐 script腳本,
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發現的符號
12:23
and it's only in this text文本
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但只有在這
12:25
that it occurs發生 as a doubling加倍 pair.
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以一對的方式出現
12:27
Why is that the case案件?
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為什麼在這裡是是這樣呢?
12:29
We went back and looked看著 at where these particular特定 texts文本 were found發現,
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我們回頭看這些文字符號的出處
12:32
and it turns out that they were found發現
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發現他們來自
12:34
very, very far away from the Indus梧桐 Valley.
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離古印度河文明非常非常遠的地方
12:36
They were found發現 in present當下 day Iraq伊拉克 and Iran伊朗.
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他們來自現今的伊拉克以及伊朗
12:39
And why were they found發現 there?
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為何出處會在那裡?
12:41
What I haven't沒有 told you is that
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我還沒跟你說的是
12:43
the Indus梧桐 people were very, very enterprising進取.
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古印度人很會做生意
12:45
They used to trade貿易 with people pretty漂亮 far away from where they lived生活,
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他們常和遠地區的人們做生意
12:48
and so in this case案件, they were traveling旅行 by sea
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也因此,他們會越洋交易
12:51
all the way to Mesopotamia美索不達米亞, present-day今天 Iraq伊拉克.
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交易地區遍及美索不達米亞,亦即現今的伊拉克
12:54
And what seems似乎 to have happened發生 here
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我們所看到的
12:56
is that the Indus梧桐 traders貿易商, the merchants商家,
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是印度商人
12:59
were using運用 this script腳本 to write a foreign國外 language語言.
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用他們的文字符號寫下外來語
13:02
It's just like our English英語 and Dutch荷蘭人 example.
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就像我們這邊所舉的英文以及荷蘭語意思相同
13:04
And that would explain說明 why we have these strange奇怪 patterns模式
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這也是我們看到這些異常排序的原因
13:06
that are very different不同 from the kinds of patterns模式 you see in the text文本
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它們和你看到古印度河文字符號
13:09
that are found發現 within the Indus梧桐 Valley.
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大相徑庭
13:12
This suggests提示 that the same相同 script腳本, the Indus梧桐 script腳本,
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這也意謂著,同樣的古印度文字符號
13:14
could be used to write different不同 languages語言.
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可能被用在不同的語言上
13:17
The results結果 we have so far seem似乎 to point to the conclusion結論
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我們從此可論斷
13:20
that the Indus梧桐 script腳本 probably大概 does represent代表 language語言.
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古印度河的文字符號,的確是語言
13:23
If it does represent代表 language語言,
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它的確代表一種語言
13:25
then how do we read the symbols符號?
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我們如何解讀這些符號呢?
13:27
That's our next下一個 big challenge挑戰.
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這是我們接下來的難題
13:29
So you'll你會 notice注意 that many許多 of the symbols符號
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所以你會注意到這些符號
13:31
look like pictures圖片 of humans人類, of insects昆蟲,
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看起來像是人,像是昆蟲
13:33
of fishes魚類, of birds鳥類.
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像魚,像鳥
13:36
Most ancient scripts腳本
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大部份的古代文字符號
13:38
use the rebus畫謎 principle原理,
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都是象形字
13:40
which哪一個 is, using運用 pictures圖片 to represent代表 words.
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以圖像代表文字
13:43
So as an example, here's這裡的 a word.
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像之前的例子,這裡有個字
13:46
Can you write it using運用 pictures圖片?
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你可以用圖畫來寫它嗎?
13:48
I'll give you a couple一對 seconds.
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我給你幾分鐘時間
13:50
Got it?
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好了嗎?
13:52
Okay. Great.
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很好!
13:54
Here's這裡的 my solution.
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這是我的解決方法
13:56
You could use the picture圖片 of a bee蜜蜂 followed其次 by a picture圖片 of a leaf --
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你可以先畫一隻蜜蜂,接著畫一片樹葉
13:58
and that's "belief信仰," right.
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這就代表 “相信”,對吧
14:00
There could be other solutions解決方案.
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還有其他畫法
14:02
In the case案件 of the Indus梧桐 script腳本,
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在古印度河文字裡
14:04
the problem問題 is the reverse相反.
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問題剛好相反
14:06
You have to figure數字 out the sounds聲音 of each of these pictures圖片
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你必須先瞭解每個圖像的聲音
14:09
such這樣 that the entire整個 sequence序列 makes品牌 sense.
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才能瞭解整個排序的意思
14:11
So this is just like a crossword填字遊戲 puzzle難題,
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就像是字謎遊戲
14:14
except that this is the mother母親 of all crossword填字遊戲 puzzles謎題
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只不過這是所有字謎遊戲之始
14:17
because the stakes賭注 are so high if you solve解決 it.
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因為代價實在太高了
14:21
My colleagues同事, IravathamIravatham Mahadevan馬哈德 and Asko阿斯科 ParpolaParpola,
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我的同事,曼哈達凡以及巴布達
14:24
have been making製造 some headway前進 on this particular特定 problem問題.
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對這問題都頗有心得
14:26
And I'd like to give you a quick example of Parpola'sParpola的 work.
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我可以讓你看一下巴布達的成果
14:28
Here's這裡的 a really short text文本.
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這是很短的文字符號
14:30
It contains包含 seven vertical垂直 strokes followed其次 by this fish-like魚肉狀 sign標誌.
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有七條直線後面有一條魚的圖象
14:33
And I want to mention提到 that these seals密封件 were used
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我想要說明這些印章是被用來
14:35
for stamping沖壓 clay粘土 tags標籤
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蓋在黏土標簽
14:37
that were attached to bundles捆綁 of goods產品,
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然後被貼在貨物上
14:39
so it's quite相當 likely容易 that these tags標籤, at least最小 some of them,
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所以它會很像這些標簽,至少其中的某些
14:42
contain包含 names of merchants商家.
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有著商號的名字
14:44
And it turns out that in India印度
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在印度
14:46
there's a long tradition傳統
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長久以來即習慣
14:48
of names being存在 based基於 on horoscopes八字
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以星座來命名
14:50
and star constellations星座 present當下 at the time of birth分娩.
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以星群象徵出生時間
14:53
In Dravidian德拉威 languages語言,
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在德拉威語系裡
14:55
the word for fish is "meenmeen"
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魚的發音是 “meen"
14:57
which哪一個 happens發生 to sound聲音 just like the word for star.
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而這個字的發音跟星星剛好相同
15:00
And so seven stars明星
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所以七顆星星
15:02
would stand for "elu埃盧 meenmeen,"
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代表 "elu meen"
15:04
which哪一個 is the Dravidian德拉威 word
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就是德拉威語的
15:06
for the Big Dipper star constellation星座.
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北斗七星
15:08
Similarly同樣, there's another另一個 sequence序列 of six stars明星,
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同樣地,這裡有六顆星
15:11
and that translates轉換 to "aru阿魯 meenmeen,"
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可以翻成 ”aru meen"
15:13
which哪一個 is the old Dravidian德拉威 name名稱
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在德拉威語
15:15
for the star constellation星座 Pleiades.
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代表昴宿星團
15:17
And finally最後, there's other combinations組合,
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事實上,還有其他的組合
15:20
such這樣 as this fish sign標誌 with something that looks容貌 like a roof屋頂 on top最佳 of it.
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像是,魚的圖象上有個蓋子
15:23
And that could be translated翻譯 into "meyMEY meenmeen,"
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可以翻成 "mey meen"
15:26
which哪一個 is the old Dravidian德拉威 name名稱 for the planet行星 Saturn土星.
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在德拉威語意思是土星
15:29
So that was pretty漂亮 exciting扣人心弦.
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讓人感到振奮的是
15:31
It looks容貌 like we're getting得到 somewhere某處.
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我們似乎有所進展
15:33
But does this prove證明
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這證明
15:35
that these seals密封件 contain包含 Dravidian德拉威 names
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這些印章有著以行星
15:37
based基於 on planets行星 and star constellations星座?
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以及星群來命名的德威語
15:39
Well not yet然而.
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但不是這樣就結束了
15:41
So we have no way of validating證實
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我們仍無法證實
15:43
these particular特定 readings讀數,
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這樣的解讀方式無誤
15:45
but if more and more of these readings讀數 start開始 making製造 sense,
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但如果越來越多的解讀都有道理
15:48
and if longer and longer sequences序列
393
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越來越長的排序解讀
15:50
appear出現 to be correct正確,
394
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都是正確的
15:52
then we know that we are on the right track跟踪.
395
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我們就能知道這樣的方法是對的
15:54
Today今天,
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今天
15:56
we can write a word such這樣 as TEDTED
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我們可以用埃及象形文字以及楔形文字
15:59
in Egyptian埃及人 hieroglyphics象形文字 and in cuneiform楔形的 script腳本,
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寫下TED這樣的名字
16:02
because both of these were deciphered破譯
399
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因為人們在十九世紀
16:04
in the 19th century世紀.
400
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早已解開兩者的文字符號內容
16:06
The decipherment解密 of these two scripts腳本
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對於兩種文字的解讀
16:08
enabled啟用 these civilizations文明 to speak說話 to us again directly.
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使得我們現在能瞭解過去的文明
16:11
The Mayans瑪雅人
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二十世紀
16:13
started開始 speaking請講 to us in the 20th century世紀,
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我們也開始瞭解馬亞文明
16:15
but the Indus梧桐 civilization文明 remains遺跡 silent無聲.
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但我們至今仍無法瞭解古印度河文明
16:18
Why should we care關心?
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為什麼我們需要這麼在乎
16:20
The Indus梧桐 civilization文明 does not belong屬於
407
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印度河文明不僅屬於
16:22
to just the South Indians印度人 or the North Indians印度人
408
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南印度或是北印度人
16:24
or the Pakistanis巴基斯坦人;
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或是巴基斯坦人
16:26
it belongs屬於 to all of us.
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這屬於我們所有人
16:28
These are our ancestors祖先 --
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這些是我們的祖先
16:30
yours你的 and mine.
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你我共同的祖先
16:32
They were silenced沉默
413
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他們因為遭遇了
16:34
by an unfortunate不幸的 accident事故 of history歷史.
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某個不幸的歷史意外而不為人知
16:36
If we decipher解碼 the script腳本,
415
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如果我們解開了這些文字符號
16:38
we would enable啟用 them to speak說話 to us again.
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就能再次瞭解這些符號的意義
16:40
What would they tell us?
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他們會傳達什麼呢?
16:43
What would we find out about them? About us?
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我們又會發現什麼呢?是關於我們的事情嗎?
16:46
I can't wait to find out.
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我等不及發現
16:49
Thank you.
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謝謝大家
16:51
(Applause掌聲)
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(鼓掌)
Translated by Ivy Chinying Tsai
Reviewed by Shiau Han Li

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ABOUT THE SPEAKER
Rajesh Rao - Computational neuroscientist
Rajesh Rao seeks to understand the human brain through computational modeling, on two fronts: developing computer models of our minds, and using tech to decipher the 4,000-year-old lost script of the Indus Valley civilization.

Why you should listen

Rajesh Rao is looking for the computational principles underlying the brain's remarkable ability to learn, process and store information --  hoping to apply this knowledge to the task of building adaptive robotic systems and artificially intelligent agents.

Some of the questions that motivate his research include: How does the brain learn efficient representations of novel objects and events occurring in the natural environment? What are the algorithms that allow useful sensorimotor routines and behaviors to be learned? What computational mechanisms allow the brain to adapt to changing circumstances and remain fault-tolerant and robust?

By investigating these questions within a computational and probabilistic framework, it is often possible to derive algorithms that not only provide functional interpretations of neurobiological properties but also suggest solutions to difficult problems in computer vision, speech, robotics and artificial intelligence.

More profile about the speaker
Rajesh Rao | Speaker | TED.com

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