Download - Big Translations in Small Spaces
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Planet KSolvingtheLanguageProblem:HowGlobalCompaniesCanReachaWorldofCustomers
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Kamusi istheSwahiliwordfor“dictionary”.Ourmission:
1.Collecteverywordineverylanguage2.Shareeveryword
Planet K
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Planet K isourideatotranslateusefulinformationthatisfrequentlyrepeated,like , ,and ,intohundredsoflanguages.
• Companies preparetheirproductsonceintheirhomelanguage• Customers readtheinformationintheirmothertongues
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• Thecompany putsaQRcodeontheirproduct• Thecustomer readstheinformationontheirmobiledevice
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• Thecompany sharesBIGinformationinasmall space• Thecustomer learnsbetterinformationabouttheproduct
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• Thecompanymakesonelabelforhundredsofmarkets• Thecustomer readsinformationabouthundredsofproductsintheirownlanguage
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Thereisalocalcompanywethoughtwe’dpitchtheideato.Nestlehas:• Morethan2000brands• Nearly$100billionsales• Operationsin200countriesMightitbehelpfultothemtohave inthe of
their ?
2000brandsx50packages/brandx100terms/packagex200languages2,000,000,000words
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WecanshowNestlehowPlanetKcouldeasethechallenge• “Milk”is“milk”onanypackage• “Milk”inanotherlanguagewill
bethatwordonanypackage• 5000repeatingtermscanbecondensed
tojustfiveweeksofworkperlanguageButcanweconvinceaBIGcompany toputQRcodesonitsproductstoofferlow-incomemarket customersmoreinformation?
Allbrandsxallpackagesx5,000uniqueterms(@25/hr=200hours/lang)x200languages1,000,000reusable terms
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Guesswhat?Theyalreadydo!ThisisacanofNestleMilkmaidSweetenedCondensedMilk.ItissoldinSriLanka.IfyouscantheQRcodeonyourphone,thenextpageshowswhatyouwillsee.
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Yousee:• Acrispwebsite• Instructions• Nutrition• Recipes• Socialinformation
In
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EthnologueestimatesforSriLanka:• 20,000,000people• 16,000,000speak
Sinhala• 4,000,000speak
Tamil• 90%areliterate• 10%speaksome
Englishhttp://www.ethnologue.com/country/LK/languages
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EthnologueestimatesforSriLanka:• 20,000,000people• 16,000,000speak
Sinhala• 4,000,000speak
Tamil• 90%areliterate• 10%speaksome
Englishhttp://www.ethnologue.com/country/LK/languages
ThePlanetKconcept:• Company getsrepeated
termstranslatedtothenational
haveproductinformation
• Accessedthrough QRcodesthatthecompanyhasalready investedin
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Thesedetailed translations,fortworeasons:
1. Methods– theyscrapedigitalsourcesforapparentmatches. Thissomewhat worksforFrenchandGerman,butnotmuchbeyond
2. Data– mosttermsformost languageshaveneverbeencollected, sotheydon’texistinanywaycomputerscanuse
Weaskforthewordsrightfromthepeoplewhospeakthem.Thenwealignthem(because“truffle” couldbeafungusorachocolate, andyoureallydon’twanttomixupideaslikethat).Wecangetyou .Wedemonstrateitfor4languagesbelow.Wecoulddoitfor .
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AnylanguageAnyproductAnymarket
TranslatedonceUsedeverywhere
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* SomescriptrenderingerrorsintroducedbyAdobeimageeditingsoftware
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AnylanguageAnyproductAnymarket
TranslatedonceUsedeverywhere