Big Translations in Small Spaces

EPFL (École polytechnique fédérale de Lausanne)
EPFL (École polytechnique fédérale de Lausanne)Senior Scientist at EPFL and Executive Director at Kamusi Project
Planet K
Solving	the	Language	Problem:	
How	Global	Companies	Can	
Reach	a	World	of	Customers
Kamusi is	the	Swahili	word	for	“dictionary”.	Our	mission:
1.	Collect	every	word	in	every	language
2.	Share	every	word
Planet K
Planet K is	our	idea	to	translate	useful	information	that	is	frequently	
repeated,	like	 ,	 ,	and	 ,	into	hundreds	of	languages.	
• Companies prepare	their	products	once	in	their	home	language
• Customers read	the	information	in	their	mother	tongues
• The	company puts	a	QR	code	on	their	product
• The	customer reads	the	information	on	their	mobile	device
• The	company shares	BIG	information	in	a	small space
• The	customer learns	better	information	about	the	product
• The	company makes	one	label	for	hundreds	of	markets
• The	customer reads	information	about	hundreds	of	products	in	their	own	language
There	is	a	local	company	we	thought	we’d	pitch	the	idea	to.	
Nestle	has:
• More	than	2000	brands
• Nearly	$100	billion	sales
• Operations	in	200	countries
Might	it	be	helpful	to	them	to	have	 in	the	 of	
their	 ?
2000	brands
x		50	packages/brand
x	100	terms/	package
x	200	languages
2,000,000,000	words
We	can	show	Nestle	how	Planet	K	could	ease	the	challenge
• “Milk”	is	“milk”	on	any	package
• “Milk”	in	another	language	will
be	that	word	on	any	package
• 5000	repeating	terms	can	be	condensed
to	just	five	weeks	of	work	per	language
But	can	we	convince	a	BIG	company to	put	QR	codes	on	its	
products	to	offer	low-income	market customers more	information?
All	brands
x	all	packages
x	5,000	unique	terms	
(@25/hr=	200	hours/lang)
x	200	languages
1,000,000	reusableterms
Guess	what?
They	already	do!
This	is	a	can	of	Nestle	Milkmaid
Sweetened	Condensed	Milk.
It	is	sold	in	Sri	Lanka.
If	you	scan	the	QR	code	on	your	phone,
the	next	page	shows	what	you	will	see.
You	see:
• A	crisp	website
• Instructions
• Nutrition
• Recipes
• Social	information
In
Ethnologue	estimates	
for	Sri	Lanka:
• 20,000,000	people
• 16,000,000	speak	
Sinhala
• 4,000,000	speak	
Tamil
• 90%	are	literate
• 10%	speak	some	
English
http://www.ethnologue.com/country/LK/languages
Ethnologue	estimates	
for	Sri	Lanka:
• 20,000,000	people
• 16,000,000	speak	
Sinhala
• 4,000,000	speak	
Tamil
• 90%	are	literate
• 10%	speak	some	
English
http://www.ethnologue.com/country/LK/languages
The	Planet	K	concept:
• Company gets	repeated	
terms	translated	to	the	
national	
have	product	
information
• Accessed	through	 QR	
codes	that	the	company	
has	already invested	in
These	detailed	 translations	
,	for	two	reasons:
1. Methods	– they	scrape	digital	sources	for	
apparent	matches.	 This	somewhat	 works	for	
French	and	German,	but	not	much	beyond	
2. Data	– most	terms	for	most	languages	have	
never	been	collected,	 so	they	don’t	exist	in	
any	way	computers	can	use
We	ask	for	the	words	right	from	the	people	
who	speak	them.
Then	we	align	them	(because	“truffle”	 could	
be	a	fungus	or	a	chocolate,	 and	you	really	
don’t	want	to	mix	up	ideas	like	that).	
We	can	get	you	 .
We	demonstrate	it	for	4	languages	below.	
We	could	do	it	for	 .
*	 Some	script	rendering	errors	introduced	
by	Adobe	image	editing	software
*	 Some	script	rendering	errors	introduced	
by	Adobe	image	editing	software
Any	language
Any	product
Any	market
Translated	once
Used	everywhere
*	 Some	script	rendering	errors	introduced	
by	Adobe	image	editing	software
*	 Some	script	rendering	errors	introduced	
by	Adobe	image	editing	software
Any	language
Any	product
Any	market
Translated	once
Used	everywhere
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