Massive-scale online collaboration | Luis von Ahn

310,873 views ・ 2011-12-06

TED


Ju lutemi, klikoni dy herë mbi titrat në anglisht më poshtë për të luajtur videon.

Translator: Liridon Shala Reviewer: Robert Lokaj
00:15
How many of you had to fill out a web form
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Sa prej jush i'u eshte dashur te mbushonje ndonje form ne web ( faqe interneti )
00:17
where you've been asked to read
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ku ju eshte kerkuar te lexoni nje sekuenc te qrregullt te nje karakterit sikurse ky ?
00:18
a distorted sequence of characters like this?
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Sa prej jush e keni gjetur verte te tepruar?
00:20
How many of you found it really annoying?
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Ne rregull, dalluar. Pra e kam ftuar ate.
00:22
(Laughter)
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00:24
OK, outstanding. So I invented that.
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(Qeshen)
00:25
(Laughter)
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ndoshta une isha njeri nga njerzit qe e bera ate.
00:27
Or I was one of the people who did it.
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Ajo gje eshte quajtur nje CAPTACHA
00:29
That thing is called a CAPTCHA.
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dhe arsyja eshte atje per te bere te sigurt juve , etnitetit per te mbushur forma.
00:31
And it is there to make sure you, the entity filling out the form,
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jane ne te vertet njerzore jo ndonje lloj programi kompjuterik
00:34
are a human and not a computer program
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atje ishte shkruar per ta derguar formen, miliona dhe miliona herë.
00:36
that was written to submit the form millions of times.
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Arsyeja perse funksionon eshte sepse njerezit,
00:38
The reason it works is because humans, at least non-visually-impaired humans,
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te pakten jo-vizualisht jo njeri i bashkangjitur,
ska probleme leximi keto karaktere te qorjentuara,
00:42
have no trouble reading these distorted characters,
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ku programet kompjuterike thjesht nuk mund ti bejen ato deri me tani.
00:44
whereas programs can't do it as well yet.
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00:46
In the case of Ticketmaster,
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per shembull ne rastin e nje perdoruesi te tiketave
00:48
the reason you have to type these characters
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arsyje se ju duhet ti shenoni gjith ato karaktere te qorjentuara
00:50
is to prevent scalpers from writing a program
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eshte per te mbrojtur skulptoret per te shkruar nje program
00:52
that can buy millions of tickets, two at a time.
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i cili mund te blen miliona tiketa, dy me njeher.
00:54
CAPTCHAs are used all over the Internet.
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CAPTCHA perdoret neper te gjith internetin.
00:56
And since they're used so often,
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gjersa jan duke u perdorur kaq shume,
00:58
a lot of times the sequence of random characters shown to the user
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shum her sekuencat precize jan te karaktereve te rendomta te cilat u shfaqen shfrytzuesve
nuk eshte sa me fat.
01:01
is not so fortunate.
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01:02
So this is an example from the Yahoo registration page.
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pra ky eshte nje shembulle from regjistrimit në Yahoo.
01:05
The random characters that happened to be shown to the user
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Karakteri i rendomt i cili ndodh te shfaqet tek nje perdorues
ku W,A,I,T te cilat sigurisht shqiptojne nje fjali.
01:08
were W, A, I, T, which, of course, spell a word.
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mirpo pjesa me e mir eshte porosia
01:11
But the best part is the message
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01:13
that the Yahoo help desk got about 20 minutes later.
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qe Yahoo ndihmuesi ka rreth 20 minuta me vone
01:15
[Help! I've been waiting for over 20 minutes and nothing happens.]
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Teksti "Ndihm! Kam mbi 20 minute qe pres dhe asgje nuk ka ndodhur"
01:18
(Laughter)
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(Qeshen)
01:23
This person thought they needed to wait.
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Ky person mendon qe ata duhet te presin.
01:25
This, of course, is not as bad as this poor person.
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Ky sigurisht qe nuk eshte aq keq sa nje person i varfer.
01:28
(Laughter)
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(Qeshen)
01:30
CAPTCHA Project is something that we did at Carnegie Melllon over 10 years ago,
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CAPTCHA projekti eshte diqka qe e kemi bere ketu ne CARNEIGE MELLON para 10 viteve
dhe eshte perdorur gjdokunde.
01:34
and it's been used everywhere.
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01:35
Let me now tell you about a project that we did a few years later,
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Me lejoni t'ju tregoj tashi per nje projekt qe e kemi bere ketyre viteve te fundit,
i cili eshte nje lloje i evulucionit te se ardhmes
01:38
which is sort of the next evolution of CAPTCHA.
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Kete projekt e kemi quajtur reCAPTCHA,
01:41
This is a project that we call reCAPTCHA,
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i cili eshte diqka qe kemi filluar kete tek Carneigie Mellon,
01:43
which is something that we started here at Carnegie Mellon,
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dhe me pas e kthyem ne nje kompani
01:46
then we turned it into a start-up company.
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dhe pastaj rreth nje viti e gjysme me vone,
01:48
And then about a year and a half ago, Google actually acquired this company.
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Google bleu kete kompani.
Pra me lejoni t'ju them se qfar ishte projekti i filluar
01:51
Let me tell you what this project started.
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pra projekti filloj nga realizimet siq vijojnë:
01:53
This project started from the following realization:
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u kthye qe parafersisht rreth 200 milion CAPTCHA-ne
01:56
It turns out that approximately 200 million CAPTCHAs
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jan duke shkruar gjdo dite ne tere boten.
01:58
are typed everyday by people around the world.
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02:00
When I first heard this, I was quite proud of myself.
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Kur e negjova kete, me te vertet isha krenar me veten time
Mendova shiqoni impaktin qe kishte kerkimi ime
02:03
I thought, look at the impact my research has had.
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mirpo me pas fillova te ndihem keq/
02:05
But then I started feeling bad.
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Pra ketu eshte gjeja, gjdoher qe e shkruan CAPTCHA,
02:07
Here's the thing: each time you type a CAPTCHA,
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esencialisht ju keni humbur 10 sekonda te kohes suaj
02:09
essentially, you waste 10 seconds of your time.
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02:11
And if you multiply that by 200 million,
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dhe po te shumzonit me 200 milion
02:13
you get that humanity is wasting about 500,000 hours every day
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ju mund te merrni kete humanitet si pergjethsi jane duke humbur rreth 500,000 ore gjdo dite
02:16
typing these annoying CAPTCHAs.
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duke shenuar keto CAPTACHA te merzitshme.
02:18
(Laughter)
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dhe me pas fillova te nidhem keq.
02:19
So then I started feeling bad.
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02:20
(Laughter)
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(Qeshen)
02:22
And then I started thinking, of course, we can't just get rid of CAPTCHAs,
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dhe me pas fillova te mendoj, mire sigurisht ne nuk mundemi te heqim qafesh Captchas-it
sepse siguria e web-it mvaret nga ato.
02:26
because the security of the web depends on them.
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pastaj fillova te mendoj, a ka ndonje menyr tjeter qe mundemi te perdorim ket mundesi
02:28
But then I started thinking, can we use this effort
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02:30
for something that is good for humanity?
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per diqka qe eshte ne te miren e njerezimit?
02:32
So see, here's the thing.
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pra shiq e shihni ketu eshte gjeja.
02:34
While you're typing a CAPTCHA, during those 10 seconds,
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Gjersa jemi duke shenuar CAPTCHA, gjat atyre 10 sekondave
truri juaj eshte duke bere diqka te mahniteshme
02:37
your brain is doing something amazing.
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02:38
Your brain is doing something that computers cannot yet do.
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truri juaj eshte duke bere diqka qe kompjuteri deri tani nuk munden te bejne.
pra e mundemi te bejme ndonje pune te dobishme per ato 10 sekonda?
02:41
So can we get you to do useful work for those 10 seconds?
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nje menyr tjeter e vendosjes se kesaj eshte
02:44
Is there some humongous problem that we cannot yet get computers to solve,
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a ka ndonje problem tjeter homogjem te cilin kompjuteret e tanishem nuk mund ta zgjedhin,
deri tani mundemi te ndajme keto 10 sekonda te kushtueshme
02:48
yet we can split into tiny 10-second chunks
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02:50
such that each time somebody solves a CAPTCHA,
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saqe secilen koh kur dikush zgjedh nje CAPTCHA
ata zgjedhin ngapak te ketij problemi?
02:53
they solve a little bit of this problem?
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dhe pergjigjeja per ate eshte "PO" dhe kjo eshte ajo se qfar ne po e bejme tani.
02:55
And the answer to that is "yes," and this is what we're doing now.
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pra ate qe ju ndoshta nuk mundeni ta dini ketyre ditve eshte se kur ju jeni duke shenuar nje CAPTCHA,
02:58
Nowadays, while you're typing a CAPTCHA,
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jo qe vetem ju jeni duke e autorizuar vetveten tuaj si njeri,
03:00
not only are you authenticating yourself as a human,
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por ne perparsi ju jeni duke i ndihmuar digjitalizimit te nje libri.
03:02
but in addition you're helping us to digitize books.
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pra me lejoni t'ju shpjegoj se si funksionon.
03:05
Let me explain how this works.
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Jan shum projekte te cilat jan duke u munduar per te digjitalizuar libra.
03:06
There's a lot of projects trying to digitize books.
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Google ka nje. Arhivi i interneti ka poashtu.
03:08
Google has one. The Internet Archive has one.
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Amazoni tani me Kindle (lexuesi i librave elektronik) provon te digjitalizoj libra.
03:11
Amazon, with the Kindle, is trying to digitize books.
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Faktikisht menyra se si funksionon
03:13
Basically, the way this works is you start with an old book.
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eshte ju filloni me nje liber te vjeter.
03:16
You've seen those things, right?
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I keni pare keto gjere mire? sikurse nje liber ?
03:18
Like a book?
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(Qeshen)
03:19
(Laughter)
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03:20
So you start with a book and then you scan it.
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Pra filloni me nje liber, dhe e skanoni ate
Tashi skanimi i nje libre
03:23
Now, scanning a book
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03:24
is like taking a digital photograph of every page.
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eshte sikurse te marrim nje fotografi digjitale te seciles faqe te nje libri
te jep nje imazh per secilen faqe te librit
03:27
It gives you an image for every page.
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Ky eshte nje imazh me tekst per secilen faqe
03:29
This is an image with text for every page of the book.
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Hapi tjeter eshte proces.
03:31
The next step in the process is that the computer needs to be able
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te cilin kompjuterit i nevoitet te jet te ngjendje ti nxierr te gjitha fjalet nga ky imazh.
03:34
to decipher the words in this image.
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Ata e perdorin nje teknologji te quajtur OCR,
03:36
That's using a technology called OCR, for optical character recognition,
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per karakte optice te nxierruar,
03:39
which takes a picture of text
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te cilat i merr si fotografi nga teksti
03:41
and tries to figure out what text is in there.
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dhe fillon ta gjeje se qfar teksti eshte atje.
03:43
Now, the problem is that OCR is not perfect.
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Tashi problemi eshte se OCR-ja nuk eshte perfekt
Ne veqanti per libra te vjeter
03:46
Especially for older books
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03:47
where the ink has faded and the pages have turned yellow,
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ku ngjyra ka filluar te bie dhe faqet jan bere ne te verdh,
03:50
OCR cannot recognize a lot of the words.
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OCR-ja nuk mundet ti nxierr te gjitha fjalet.
03:52
For things that were written more than 50 years ago,
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Per shembull, per gjerat te cilat ishin shkruar para 50 viteve
kompjuteri nuk mundet ti nxierr rreth 30 perqind te fjalve.
03:55
the computer cannot recognize about 30 percent of the words.
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Pra qfar jemi duke bere tani
03:58
So now we're taking all of the words that the computer cannot recognize
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eshte ne po i nxierrim te gjitha fjalit te cilat kompjuteret nuk munden
04:01
and we're getting people to read them for us
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dhe po i'a japim njerzve qe ti lexojne ato per neve
04:03
while they're typing a CAPTCHA on the Internet.
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gjersa ata jan duke shenuar nje CAPTCHA ne internet
pra heren tjeter kur ju jeni duke shenuar nje CAPTCHA, keto fjali qe jeni duke i shenuar
04:06
So the next time you type a CAPTCHA, these words that you're typing
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jan ne fakt fjalit te cilat jane duke ardhur nga librat te cilat po digjitalizohen
04:09
are actually words from books that are being digitized
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04:11
that the computer could not recognize.
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qe kompjuteri nuk mundnte ti nxierrte.
04:13
The reason we have two words nowadays instead of one
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dhe arsyeja perse ne kemi dy fjali koheve te fundit dhe jo nje
eshte sepse ju shihni, njeren nga fjalet
04:16
is because one of the words
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04:17
is a word that the system just got out of a book,
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eshte fjale te cilen sistemi sapo e ka nxierr nga nje liber,
nuk e dinte se qfar ishte, vetem do t'ua prezentoj para jush.
04:20
it didn't know what it was and it's going to present it to you.
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meqe nuk e din pergjigjejen e tij, smundet ta noton per ty.
04:23
But since it doesn't know the answer, it cannot grade it.
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qfar ne bejme eshte ju japi nje fjali tjeter,
04:26
So we give you another word,
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04:27
for which the system does know the answer.
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nje nga te cilen systemi e di pergjigjejen.
04:29
We don't tell you which one's which and we say, please type both.
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ne nuk ju themi se cila eshte cila, dhe ne ju themi ju lutem shtypni te dyja.
nese e keni shkruar fjalin korrekte
04:32
And if you type the correct word
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per te cilen sistemi e din pergjigjejen
04:34
for the one for which the system knows the answer,
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e pranon se je njeri,
04:36
it assumes you are human
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04:37
and it also gets some confidence that you typed the other word correctly.
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dhe gjithashtu pranon nje konfidenc qe ju jeni duke shtypur fjalin tjeter te saket.
dhe nese e perseritim kete proces tek 10 njerez te ndryshum
04:41
And if we repeat this process to 10 different people
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dhe te gjith prej tyre pajtohen se qfar eshte fjalia e re
04:43
and they agree on what the new word is,
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ateher ne kemi digjitalizuar nje fjali te re saktesisht.
04:45
then we get one more word digitized accurately.
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pra ky keshtu funksionon sistemi.
04:48
So this is how the system works.
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faktikisth, qe nga data e leshimit qe ka qen rreth 3 apo kater vite me pare
04:49
And since we released it about three or four years ago,
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shum web faqe kan filluar ti ndrrojne
04:52
a lot of websites have started switching from the old CAPTCHA,
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nga CAPTCHA e vjeter ku njerzit humbsin kohen e tyre
04:55
where people wasted their time,
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tek CATPCHA e re ku njerzit jane duke ndihmuar digjitalizimin e librave.
04:56
to the new CAPTCHA where people are helping to digitize books.
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pershembull, Tiketuesi master
04:59
So every time you buy tickets on Ticketmaster,
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Pra gjodher kur ju blenje nje tiket, ju i ndihmoni digjitalizimit te nje libri.
05:01
you help to digitize a book.
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Facebook: gjdoher kur ju shtoni nje shok ose pokoni dike,
05:03
Facebook: Every time you add a friend or poke somebody,
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ju jeni duke i ndihmuar digjitalizimit.
05:05
you help to digitize a book.
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Twitter dhe rreth 350,000 faqe tjera jan duke perdorur reCAPTCHA
05:07
Twitter and about 350,000 other sites are all using reCAPTCHA.
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dhe ne fakt, numri i web faqeve qe jan duke perdorur eshte shum i larte
05:10
And the number of sites that are using reCAPTCHA is so high
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dhe numri i fjalive te cilat jane duke u digjitalizuar per nje dite eshte shum shum i madh.
05:13
that the number of words we're digitizing per day is really large.
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eshte rreth 100 milion per nje dite,
05:16
It's about 100 million a day,
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e cila eshte ekuivalente rreth dy e gjysme milioni libra per nje vite.
05:17
which is the equivalent of about two and a half million books a year.
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dhe e gjith kjo eshte duke u ber me nga nje fjali per njeher
05:21
And this is all being done one word at a time
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me njerzit duke shtypur CAPTCHA ne internet.
05:23
by just people typing CAPTCHAs on the Internet.
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(Duartrokitje)
05:25
(Applause)
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05:32
Now, of course,
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Tani sigurisht,
05:34
since we're doing so many words per day,
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meqe jemi duke i ber shum fjali per nje dit,
gjera te quditshme munden te ndodhin.
05:37
funny things can happen.
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05:38
This is especially true because now we're giving people
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Dhe tani me te vertet eshte sepse ne jemi duke i dhen njerezve
dy zgjidhje te rendomta ne anglisht fjali ngjitur me njera tjetren.
05:41
two randomly chosen English words next to each other.
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pra gjera qesharake munden te ndodhin.
05:43
So funny things can happen.
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pershembull, ne prezentuam ket fjali.
05:45
For example, we presented this word.
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eshte fjali "Kristianet" nuk ka asgje te keqe me te.
05:47
It's the word "Christians"; there's nothing wrong with it.
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mirpo nese e prezentoni se bashku me nje fjali tjeter te rendomt,
05:49
But if you present it along with another randomly chosen word,
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gjera te keqija mund te ndodhin.
05:52
bad things can happen.
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pra kemi kete tekst keq Krishtianisum
05:54
So we get this.
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05:55
[bad Christians]
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madje edhe me keq, sepse disa web faqe ishin duke e shfaqur kete
05:56
But it's even worse, because the website where we showed this
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faktikisht ndodhi te jen quajtur Ambasada e zotit te britanis se madhe.
05:59
actually happened to be called The Embassy of the Kingdom of God.
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(Qeshen)
06:02
(Laughter)
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Opps.
06:04
Oops.
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06:05
(Laughter)
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(Qeshen)
Ketu eshte nje tjeter shum e keqe
06:09
Here's another really bad one.
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JohnEdwards.com
06:11
JohnEdwards.com
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06:12
[Damn liberal]
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(Teksti: libreralet e kqninje)
06:13
(Laughter)
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(Qeshen)
pra e mbajke kete majtas dhe djathtas gjdo dite.
06:18
So we keep on insulting people left and right everyday.
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Tani, sigurisht ne nuk jemi duke i inslutura njerzit.
06:21
Of course, we're not just insulting people.
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shiqoni ketu, meqe ne jemi duke ju prezentuar dy fjalo te rendomta zgjedhore,
06:23
Here's the thing. Since we're presenting two randomly chosen words,
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gjera interesante munden te ndodhin.
06:26
interesting things can happen.
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06:27
So this actually has given rise to a really big Internet meme
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pra ne fakt ka nje rritje
tek nje gje shum e madhe ne internet
06:32
that tens of thousands of people have participated in,
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ku qindra dhe mijera njerz kan participuar ne te,
e cila eshte quajtur arti i CAPTCHA.
06:35
which is called CAPTCHA art.
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06:36
I'm sure some of you have heard about it.
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Jam shum i sigurt qe disa nga ju keni degjuar per kete.
06:38
Here's how it works.
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ketu eshte se si punon.
06:40
Imagine you're using the Internet and you see a CAPTCHA
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Imagjinoni ju jeni duke perdorur internetin dhe e shifni nje CAPTCHA
06:42
that you think is somewhat peculiar,
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dhe ju mendoni se eshte diqka e njohur nga diku,
06:44
like this CAPTCHA.
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sikurse kjo CAPTCHA
06:45
[invisible toaster]
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06:46
What you're supposed to do is you take a screenshot of it.
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Pastaj qfar ju duhet te beni eshte te shtypni butnin per te marruar ekranin tuaj.
pastaj sigurisht qe do te mbushni formen e CAPTCHA
06:49
Then of course, you fill out the CAPTCHA because you help us digitize a book.
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sepse ju ndihmoni te digjitalizoni nje liber.
mirpo se pari shtypni butonin per printimin e kranit,
06:53
But first you take a screenshot
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06:54
and then you draw something that is related to it.
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dhe pastaj ju vizatoni diqka qe lidhet me te.
(Qeshen)
06:57
(Laughter)
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06:58
That's how it works.
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Pra keshtu punon.
07:00
(Laughter)
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07:01
There are tens of thousands of these.
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Jan dhjetra dhe mira nga keto.
07:04
Some of them are very cute.
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disa nga to jan shum te lezetshme
07:06
[clenched it]
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(Qeshen)
07:07
(Laughter)
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disa nga to jane qesharake
07:09
Some of them are funnier.
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(Tekst: ideatoret)
07:11
[stoned Founders]
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07:12
(Laughter)
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(Qeshen)
07:16
And some of them, like paleontological shvisle ...
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dhe disa nga ta,
sikurse gurdhendesit,
07:20
(Laughter)
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ata permbajn snoop dogg
07:22
they contain Snoop Dogg.
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07:23
(Laughter)
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(Qeshen)
07:26
OK, so this is my favorite number of reCAPTCHA.
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Ne rregull, pra ky eshte numri im i preferuar i re-CAPTCHA
pra ky eshte pjesa dhe gjeja kryesore qe u dua me se shumti mbi te gjith ket projekt.
07:29
So this is the favorite thing that I like about this whole project.
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My eshte numri i dalluar i njerezve
07:32
This is the number of distinct people
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te cilet na kan ndihmuar neve per te digjitalizuar te pakten nje nga fjalit e librave nepermjet reCAPTCHA:
07:34
that have helped us digitize at least one word out of a book through reCAPTCHA:
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750 milion,
07:37
750 million, a little over 10 percent of the world's population,
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i cili eshte me pak se 10 perqindshi i popllsis botrore,
07:40
has helped us digitize human knowledge.
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te cilet na kane ndihmuar neve te digjitalizojme njohurit e njerzimit.
07:42
And it is numbers like these that motivate my research agenda.
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dhe numrat sikurse ky te cilet me motivojne ne agjenden e kerkimit tim.
07:45
So the question that motivates my research is the following:
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Pra pyetja e cila me motivon kerkimin tim eshte:
Po ta shiqoni te arrituart e njerezimit ne nje mas te madhe,
07:49
If you look at humanity's large-scale achievements,
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jane me te vertet gjera shum te mdha
07:51
these really big things
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07:52
that humanity has gotten together and done historically --
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qe humaniteti i ka bere se bashku dhe i ka krijuar neper histori --
07:55
like, for example, building the pyramids of Egypt
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sirkuse per shembull, ndertimi i piradimave te Egjiptit
07:57
or the Panama Canal
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apo Kanalin e panamase
07:59
or putting a man on the Moon --
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ose vendosja e njeriut ne Hene-
08:01
there is a curious fact about them,
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eshte nje fakt kurioz rreth tyre,
08:03
and it is that they were all done with about the same number of people.
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dhe e gjitha eshte bere pothuajse me te njejtin numer te njerezve
eshte e quditshme; te gjitha keto ishin bere me rreth 100,000 njerez
08:06
It's weird; they were all done with about 100,000 people.
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dhe arsyeja per ate eshte sepse , perpara internetit,
08:09
And the reason for that is because, before the Internet,
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te kordinosh me teper se 100,000 njerez
08:12
coordinating more than 100,000 people,
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te paguash veqmash per secili ishte pothuajse e pamundur.
08:14
let alone paying them, was essentially impossible.
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mirpo tani me internetin, Ju kam treguar nje projekt
08:17
But now with the Internet, I've just shown you a project
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ku patem 750 milion njerez
08:19
where we've gotten 750 million people to help us digitize human knowledge.
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te cilet na ndihmuan te digjitalizojme njohurit e njerezimit.
pra pyetja e cila me motivon kerkimin tim eshte,
08:23
So the question that motivates my research is,
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Nese ne mundemi ta vendosim nje njeri ne hene me 100,000
08:25
if we can put a man on the Moon with 100,000,
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08:27
what can we do with 100 million?
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qfar mundemi te bejeme me 100 milion?
08:29
So based on this question,
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pra bazuar ne kete pyetje,
08:31
we've had a lot of different projects that we've been working on.
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ne kemi pasur shum lloje projektesh te cilat kemi punuar ne.
Me lejoni t'ju them rreth nje projekti te cilin jam shum i knaqur me.
08:34
Let me tell you about one that I'm most excited about.
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08:36
This is something that we've been semiquietly working on
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Kjo eshte diqka qe kemi punuar koh-pas-kohe
vitin e fundit apo me teper.
08:39
for the last year and a half or so.
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akoma nuk eshte lansuar. E quajme Duolingo.
08:41
It hasn't yet been launched. It's called Duolingo.
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me qe nuk eshte lancuar akoma , shhhhh!
08:43
Since it hasn't been launched, shhh!
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(Qeshen)
08:45
(Laughter)
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08:46
Yeah, I can trust you'll do that.
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po, Une mundem t'ju besoj juve ate.
Pra ky eshte projekti. Ja se si filloi.
08:49
So this is the project. Here's how it started.
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Filloj me mua duke postuar nje pyetje tek studentat e mi.
08:51
It started with me posing a question to my graduate student, Severin Hacker.
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Severin hacker.
Ne rregull, ai eshte Severn Hacker.
08:55
OK, that's Severin Hacker.
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Pra e postova pyetjen tek studentat e mi
08:57
So I posed the question to my graduate student.
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mirpo menyra se si ju me degjuat mua saktesisht;
08:59
By the way, you did hear me correctly; his last name is Hacker.
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mbiemri i tij eshte Hacker.
09:02
(Laughter)
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Pra i postova pyetjen atij:
09:03
So I posed this question to him: How can we get 100 million people
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Si mund ti marrim 100 milion njerez
09:06
translating the web into every major language for free?
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ta perkthejm web-in ne secilen gjuh kryesore pa pages?
Ne rregull, jane shum gjera per te thene rreth kesaj pyetje.
09:10
There's a lot of things to say about this question.
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Se pari , per ta perkthyer web-in
09:12
First of all, translating the web.
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Per momentin web-i eshte i pozicionuar ne shumicen e gjuheve.
09:14
Right now, the web is partitioned into multiple languages.
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Nje shum e madhe e tij eshte ne Anglisht.
09:17
A large fraction of it is in English.
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Nese nuk e di fare Anglishten, ju smuneni te keni akces tek ai.
09:19
If you don't know English, you can't access it.
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mirpo jan edhe shum pjes tjera ne gjuh te ndryshme,
09:21
But there's large fractions in other different languages,
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dhe nese nuk i din ato gjuh nuk mundesh te kesh akcez tek ai.
09:24
and if you don't know them, you can't access it.
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Pra une deshiroj te perkthej te gjith web-in apo pjesen me te madhe te tij,
09:26
So I would like to translate all of the web,
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09:28
or at least most of it, into every major language.
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ne te gjitha gjuhet kryesore.
pra kjo eshte ajo qe une dua te beje.
09:31
That's what I would like to do.
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09:32
Now, some of you may say, why can't we use computers to translate?
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Tani disa nga ju mundeni te thoni , perse nuk mundemi te perdorim kompjuterin per ta perkthyer ate?
perse nuk mundemi te perdorim perkthyesin makin?
09:37
Machine translation is starting to translate
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Perkthyesit makin koheve te fundit jane duke perkthyer disa fjali ketu atu.
09:39
some sentences here and there.
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perse nuk mundemi te perdorim ta perkthejme te gjith web-in?
09:40
Why can't we use it to translate the web?
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Mire por problemi eshte sepse nuk mundemi te jemi shum te mire per ta bere kete
09:42
The problem with that is it's not yet good enough
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dhe perafersisht nuk do te mund ta bejem kete edhe per 15 apo 20 vitet e ardheshme.
09:45
and it probably won't be for the next 15 to 20 years.
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Ben shume gabime.
09:47
It makes a lot of mistakes. Even when it doesn't,
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Madje edhe kur nuk bene ndonje gabim,
09:49
since it makes so many mistakes, you don't know whether to trust it or not.
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meqe bene shume gabime ne nuk e dim se a ti besoj apo jo.
Pra me lejoni t'ju jap nje shembull
09:53
So let me show you an example
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09:54
of something that was translated with a machine.
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apo diqka qe ishte perkthyer me nje makineri.
Faktikisht ishte nje postim ne forum.
09:57
Actually, it was a forum post.
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09:58
It was somebody who was trying to ask a question about JavaScript.
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Ishte dikush qe kishte provuar te beje nje pyetje rreth JavaScritp-it (program per programera)
10:01
It was translated from Japanese into English.
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Ishte perkthyer nga Japonishtja ne Anglisht.
10:04
So I'll just let you read.
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Pra vetem do t'ju le te lexoni.
10:06
This person starts apologizing
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Personi filloj te kerkoj falje
10:08
for the fact that it's translated with a computer.
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per faktin qe ishte perkthyer me nje kompjuer.
10:10
So the next sentence is going to be the preamble to the question.
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Pra fjalia tjeter do te jet direkt e marrur nga pyetja.
Pra ai vetem po sqaron diqka.
10:14
So he's just explaining something.
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Kujtoni, eshte pyetja rreth JavaScritp-it.
10:16
Remember, it's a question about JavaScript.
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10:18
[At often, the goat-time install a error is vomit.]
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(Teksti: shpesh, koha e instalimit gabim kaniher)
10:20
(Laughter)
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(Qeshen)
10:25
Then comes the first part of the question.
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Pastaj vjen pjesa e pare e pyetjes.
10:29
[How many times like the wind, a pole, and the dragon?]
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Tekst: Sa herë si era, një shtyllë, dhe dragon
10:32
(Laughter)
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(Qeshen)
Pastaj vjen pjesa ime e preferuar e pyetjes.
10:37
Then comes my favorite part of the question.
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10:39
[This insult to father's stones?]
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(Tekst: ky ka instulim per baban e gurve?)
10:41
(Laughter)
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(Qeshen)
dhe pastaj vjen pjesa e fundit,e cila eshte me e preferuar e te gjith kesaj gjeje.
10:45
And then comes the ending,
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10:46
which is my favorite part of the whole thing.
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(Tekst: Ju lutem me falni per marrezin tuaj. Jan shum faliminderit.)
10:48
[Please apologize for your stupidity. There are a many thank you.]
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10:51
(Laughter)
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(Qeshen)
10:53
OK, so computer translation, not yet good enough.
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Ne rregull, pra perkthimi me kompjuteri, nuk eshte akom i mire.
Pra kthehemi tek pyetja.
10:56
So back to the question.
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Pra na nevoiten njerez per ta perkthyer te gjithe web-in.
10:58
So we need people to translate the whole web.
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Tani pyetja tjeter te cilin ju mund ta keni eshte,
11:01
So now the next question you may have is,
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mire, perse nuk mundemi te paguaj njerez per ta bere kete?
11:03
well, why can't we just pay people to do this?
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Ne mundemi te paguaj perkthyer profesional per ta perkthyer te gjith web-in.
11:05
We could pay professional translators to translate the whole web.
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Ne mundemi te ta beje kete.
11:08
We could do that.
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11:09
Unfortunately, it would be extremely expensive.
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Fatkeqesisht, do te ishte ekstremisht e shtrenjet.
11:11
For example, translating a tiny fraction of the whole web, Wikipedia,
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Per shembull, perkthimi ne pjes te vogla fraksion te te gjithe web-it, Wikipedia,
ne nje gjuh tjeter, Spanjollisht.
11:15
into one other language, Spanish.
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11:17
OK? Wikipedia exists in Spanish,
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Wikipedia eksiston ne Spanjollisht,
11:19
but it's very small compared to the size of English.
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mirpoo eshte shum e vogel nese e krahazojme me madhesin e Anglishtes.
eshte rreth 20 perqind te madhesis se Anglishtes.
11:22
It's about 20 percent of the size of English.
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nese deshirojme te perkthejme pjesen e 80 perqindeshit ne Spanjollisht,
11:24
If we wanted to translate the other 80 percent into Spanish,
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do te kushtonte se paku 50 milion dollare --
11:27
it would cost at least 50 million dollars --
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dhe ky eshte sepaku shteti me outsort jasht.
11:29
and this is even at the most exploited, outsourcing country out there.
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pra do te jet shume e shtrejte.
11:33
So it would be very expensive.
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Pra qfar deshirojme te bejme eshte deshirojme ti marrim 100 milion njerez
11:34
So what we want to do is, we want to get 100 million people
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perkthimin e te gjith web-it ne shumicen e gjuheve
11:37
translating the web into every major language for free.
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pa pages.
Tashi nese kjo eshte ajo se qfar deshirojme te bejme,
11:40
If this is what you want to do, you quickly realize
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shum shpejt do te zbulonin qe ju jeni duke diqka shum te madhe,
11:42
you're going to run into two big hurdles, two big obstacles.
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dy pengesa te medhaja.
11:45
The first one is a lack of bilinguals.
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E para eshte mungesa e pageses.
11:48
So I don't even know
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Pra une nuk e di
11:50
if there exists 100 million people out there using the web
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nese eksistojne 100 milion njerez atje te cilet e perdorin web-in
11:53
who are bilingual enough to help us translate.
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kush eshte i interesuar te na ndihmoje neve per ta perkthyer.
Ky eshte nje problem i madh.
11:56
That's a big problem.
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11:57
The other problem you're going to run into is a lack of motivation.
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Problemi tjeter ne te cilin do te hasim eshte mungesa e motivimit.
Si do ti motivojme njerezit
12:00
How are we going to motivate people to actually translate the web for free?
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per ta perkthyer Webin pa pages?
Normalisht, ju duhet te paguni njerezit per ta bere kete.
12:04
Normally, you have to pay people to do this.
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12:06
So how are we going to motivate them to do it for free?
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pra si do ti motivojme ata per ta bere kete pa pages?
Tashi kur ne filluam te mendojme per kete, ne ishim te bllokuar nga keto dy gjera.
12:09
When we were starting to think about this, we were blocked by these two things.
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Mirpo ne e gjetem, se ne te vertet eshte nje menyr
12:12
But then we realized, there's a way
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per ti zgjidhur te dyja keto probleme me te njejten menyre
12:14
to solve both these problems with the same solution.
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Eshte nje menyre per te vrare dy zogj me te njejtin guri.
12:16
To kill two birds with one stone.
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dhe kjo eshte per ta transpormuar gjuhen ne nje perkthim
12:18
And that is to transform language translation
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12:20
into something that millions of people want to do
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ne diqka qe miliona njere deshirojne te bejne,
12:23
and that also helps with the problem of lack of bilinguals,
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dhe ajo gjithashtu na ndihmon neve me mungeses se pagesave.
12:26
and that is language education.
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dhe kjo eshe edukimi gjuhesore.
12:29
So it turns out that today,
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pra u kthye qe sot,
12:31
there are over 1.2 billion people learning a foreign language.
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jan mbi 1.2 miljard njereze te cilet mesoje nje gjuh te huaje.
Njerezit me te vertet deshirojne te mesojne nje gjuh te huaje.
12:35
People really want to learn a foreign language.
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dhe nuk eshte sepse jan te detyruar me force per te mesuar kete ne shkolle.
12:37
And it's not just because they're being forced to do so in school.
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Pershembull, ne ShBA vetem,
12:40
In the US alone, there are over five million people
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jane me teper se 5 milion njereze te cilet kan paguar mbi 500 dollar
12:43
who have paid over $500 for software to learn a new language.
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per nje softuer per te mesuar nje gjuhe te re.
pra njerezit me te vertet deshirojne te mesojne nje gjuhe te re.
12:46
So people really want to learn a new language.
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pra ne qfar kemi punuar ne vitin e fundit eshte nje web i ri --
12:48
So what we've been working on for the last year and a half
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i quajtur Duolingo --
12:51
is a new website -- it's called Duolingo --
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idea eshte qe njerezit te mesojne nje gjuh te re pa pages
12:53
where the basic idea is people learn a new language for free
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12:55
while simultaneously translating the web.
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e cila stimulon perkthimin e web-it
dhe faktikisht eshte e thjesht sikurse te mesuarit duke e bere.
12:58
And so basically, they're learning by doing.
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Pra menyra se si funksionon
13:00
So the way this works
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13:01
is whenever you're a just a beginner, we give you very simple sentences.
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kurdohere qe ju jeni nje fillestar, ne ju japim fjali shum shum te thjeshta.
Sigurisht qe ka shum shum fjali te thjeshta ne web.
13:05
There's a lot of very simple sentences on the web.
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Ne ju japim shum shum fjali te thjeshta
13:07
We give you very simple sentences along with what each word means.
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sebashku me te dhe kuptimin e fjalise.
13:10
And as you translate them
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dhe duke i perkthyer ato, dhe duke i pare njerezit duke i perkthyer ato
13:12
and as you see how other people translate them,
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ju filloni te mesoni gjuhen.
13:14
you start learning the language.
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dhe sa me shum qe ju profesionalizoheni,
13:16
And as you get more advanced,
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13:17
we give you more complex sentences to translate.
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ne ju japim me shum fjali te veshtira per ti perkthyer.
13:19
But at all times, you're learning by doing.
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mirpo gjat gjith kohes, ju jeni duke mesuar duke e bere.
13:21
Now, the crazy thing about this method is that it actually really works.
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Tashi gjeja e qmenduar rreth kesaj metode
eshte sa ne fakt funksionon per mrekulli.
13:25
People are really learning a language.
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se pari njerezit jane me te vertet per te mesuar nje gjuhe.
13:27
We're mostly done building it and now we're testing it.
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Jemi pothuajse te perfunduar, te ndertuari ate, tashi jemi duke e testuar ate.
Njerezit munden te mesojne nje gjuh me te.
13:30
People really can learn a language with it.
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Dhe ata e mesojne ate sikurse programi per mesimin e gjuheve.
13:32
And they learn it about as well as the leading language learning software.
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Pra njerezit me te vertet mesojne nje gjuhe.
13:35
So people really do learn a language.
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dhe jo vetem qe e mesojne,
13:37
And not only do they learn it as well, but actually it's more interesting.
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por eshte shum me interesante.
Sepse ju e shihni me Duolingo, njerezit e mesojne kontentin real.
13:41
Because with Duolingo, people are learning with real content.
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Jo sikurse te mesuarit me fjali te bera gati,
13:44
As opposed to learning with made-up sentences,
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njerezit jane duke mesuar me kontentin reale, i cili eshte me te vertet interesante.
13:46
people are learning with real content, which is inherently interesting.
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Pra njerezit me te vertet mesojnje nje gjuhe.
13:49
So people really do learn a language.
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Miporo ndoshta me surprizuese,
13:51
But perhaps more surprisingly,
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perkthimi qe marrim nga njerezit duke perkthyer web-in
13:53
the translations that we get from people using the site,
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13:55
even though they're just beginners,
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madje edhe pse jan vetem fillestar,
13:57
the translations that we get
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perkthimi qe ne marrim eshte aq i saket sikruse ai i marr nga ndonje perkthyer profesionale.
13:59
are as accurate as those of professional language translators,
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i cili eshte shum suprizues.
14:01
which is very surprising.
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pra me lejoni te marr nje shembull.
14:03
So let me show you one example.
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14:04
This is a sentence that was translated from German into English.
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Kjo eshte nje fjali e cila eshte perkthyer nga Gjermanishtja ne Anglisht.
Fillimi eshte Gjermanisht
14:07
The top is the German. The middle is an English translation
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Mesi eshte perkthim ne Anglisht
14:10
that was done by a professional translator
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kjo eshte kryer nga dikush qe ishte nje perkthyer profesional Englisht
14:12
who we paid 20 cents a word for this translation.
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te cilin e paguam 20 cent per nje fjal per perkthim.
dhe ne fund eshte nje perkthim nga nje shfrytzues i Duolingo,
14:15
And the bottom is a translation by users of Duolingo,
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qe nuk dinte asnje copez te Gjermanishtes
14:18
none of whom knew any German before they started using the site.
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para se te fillonin te perdorin sajtin.
14:21
If you can see, it's pretty much perfect.
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Mund ta shihni eshe shum perfekt.
14:23
Of course, we play a trick here
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Tani sirusiht,ne bejme nje trik ketu
14:25
to make the translations as good as professional language translators.
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per te bere perkthimin aq te mri sa nje perkthyer profesional mund te beje.
Ne i kombinojme disa perkthyes fillestare
14:28
We combine the translations of multiple beginners
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per te fituar kualitetin e nje profesionalisti te vetem.
14:31
to get the quality of a single professional translator.
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14:33
Now, even though we're combining the translations,
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Tani edhe pese ne jemi duke i kombinuar keto perkthime,
14:38
the site actually can translate pretty fast.
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sajti mundet te perkthej shum shpejt.
Ja t'ju tregoj,
14:41
So let me show you,
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14:42
this is our estimates of how fast we could translate Wikipedia
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kjo eshte perllogaritje se sa shpejt mundemi ta perkthejme Wikipedia-në
Nga Anglishtja ne Spanjollisht.
14:45
from English into Spanish.
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14:46
Remember, this is 50 million dollars' worth of value.
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Kujdoni, ky eshte 50 milion dollar vler
14:49
So if we wanted to translate Wikipedia into Spanish,
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Pra nese deshirojme ta perkthejme Wikipedian ne Spanjollisht
mundemi ta bejme kete ne pese jave me 100,000 shfrytzues aktive
14:52
we could do it in five weeks with 100,000 active users.
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dhe mundemi ta bejme kete me rreth 80 ore me 1 milion shfrytzues aktive
14:55
And we could do it in about 80 hours with a million active users.
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Meqe te gjitha projektet qe grupi ime ka punuar deri me tani kan marrur mbi 100 milion shfrytzues
14:58
Since all the projects my group has worked on so far
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15:00
have gotten millions of users,
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jemi te kenaqur qe do te jemi ne gjendje ta perkthejme
15:02
we're hopeful that we'll be able to translate extremely fast.
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ekstremisht shpejt me kete projekt.
Tani gjeja qe une jam i gezuar rreth Duolingo
15:05
Now, the thing that I'm most excited about with Duolingo
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eshte se mendoj qe ne jep nje model te biznesit te drejt per edukimin gjuhesore.
15:08
is I think this provides a fair business model for language education.
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Ja ku eshte gjeja:
15:11
So here's the thing:
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Modeli i bizesit per edukimin gjuhesore
15:13
The current business model for language education
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eshte studenti paguane,
15:15
is the student pays,
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15:16
and in particular, the student pays Rosetta Stone 500 dollars.
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dhe ne pergjigjethsi studentet kan paguar Rosetta Stone 500 dollar.
(Qeshen)
15:19
(Laughter)
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Ky eshte modeli i tanishum i binesit !
15:21
That's the current business model.
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Problemi me modelin e biznesit eshte
15:23
The problem with this business model
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se 95 perqind e popullsis botrore nuk ka 500 dollar.
15:25
is that 95 percent of the world's population doesn't have 500 dollars.
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Pra nuk eshte e drejt per njerezit e varfer
15:28
So it's extremely unfair towards the poor.
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Totalisht e drejt per te pasurit.
15:31
This is totally biased towards the rich.
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Tashi me Duolingo,
15:33
Now, see, in Duolingo,
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15:34
because while you learn, you're actually creating value,
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gjersa ju jeni duke mesuar
ju faktikisht jeni duke krijuar vlera, ju jeni duke perkthyer gjera --
15:38
you're translating stuff --
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15:39
which, for example, we could charge somebody for translations,
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te cilat pershembull, ne mundemi ta ngrakojme dike per te perkthyer.
15:42
so this is how we could monetize this.
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Pra kjo eshte menyra se si mund ta bejeme te gjith kete.
15:44
Since people are creating value while they're learning,
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Meqe njerezit jane duke krijuar vlera dhe gjithashtu duke mesuar,
Ata nuk duhet te paguajne me parat e tyre, ata paguajne me kohen e tyre.
15:47
they don't have to pay with their money, they pay with their time.
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Mirpo gjeja magjike ketu eshte sepse ata po paguajne me kohen e tyre,
15:50
But the magical thing here
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15:52
is that is time that would have had to have been spent anyways
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mirpo kjo eshte koha te cilen ata eshte dashur qe ta hargjojne sidoqoft
duke mesuar gjuhen.
15:55
learning the language.
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15:56
So the nice thing about Duolingo
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pra gjeja me e mire rreth Duolingo-it eshte sepse une mendoj se eshte nje model i biznesit te drejt --
15:58
is, I think, it provides a fair business model --
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nje i cili nuk eshte diskriminues kunder njerezve te varfer.
16:00
one that doesn't discriminate against poor people.
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Pra ketu eshte sajti. Faliminderit
16:03
So here's the site. Thank you.
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(Duartrokitje)
16:04
(Applause)
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Ketu eshte sajti.
16:13
We haven't yet launched,
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Akoma nuk e kemi lansuar,
16:15
but if you go there, you can sign up to be part of our private beta,
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mirpo nese shkon atje, mundesh te kyqesh te jesh pjes private e versioni te pa leshuar per publikun ( beta)
16:18
which is probably going to start in three or four weeks.
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i cili do te filloj se shpejti besoj ne 3 apo kater jave.
Akoma nuk e kemi lancuar kete Duolingo.
16:21
We haven't yet launched it.
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16:22
By the way, I'm the one talking here,
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Me qe ra fjala.Une jam duke folur ketu,
16:24
but Duolingo is the work of a really awesome team,
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faktikisht Duolingo eshte nje pune e mrekullueshme e nje ekimi shum te mir, ku pjes e saj jane edhe ketu.
16:27
some of whom are here. So thank you.
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Pra faliminderit shume.
16:28
(Applause)
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(Duartrokitje)
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