Thailand tried to grow Thai Wikipedia with statistical machine translation. The idea was right and the mechanism was wrong, for reasons every localization team now recognises.
Posts with tag.: machine translation
Google prototype Conversation Mode records speech on Android and plays it back in another language, promising travellers real time translation that still depends on battery and signal.
From Rihanna backwards French tattoo to a prison handbook promising an execution yard, the annual Jelly Donut Awards collect the five worst translation errors of the year.
The research firm predicts language moves from back-office cost to revenue lever in 2011, with machine translation, crowdsourcing and video localization leading the shift.
Google's Mustafa Icil described two systems, speech-to-text and text translation, and the plan to bolt them together into live spoken translation.
Google built a system to translate poetry with metre and rhyme intact. The experiment exposed exactly where machine translation stops being translation.
Google added Latin to Google Translate, announced it in a blog post written entirely in Latin, and predicted the results would be among its most accurate.
Cloud translation could let two colleagues talk across any language. Europe’s privacy rules decide where the recording of that call is allowed to travel.
Crisis Commons found a global network of Creole speakers to translate emergency texts after Haiti's earthquake, and is now recruiting translators for Pakistan.
Google is redesigning Translate for discoverability, not accuracy, and adding a page that explains how statistical machine translation actually works.
Helsinki startup XIHA offered content in 56 languages and, unlike LinkedIn, paid its translators. The premise outlived the platform.
Common Sense Advisory surveyed 651 providers in 75 countries: demand is up over 13% a year, translation rates are down, and memory discounts hit 48%.
Acrolinx, Asia Online, Clay Tablet and Milengo built a best-of-breed translation stack aimed squarely at SDL, and the seams are where it lives or dies.
Google Docs now translates documents in 53 languages from inside the editor, but the output is plain Google Translate. Here is where that works and where it fails.
How linguists are using crowdsourced volunteers to translate low resource languages that machine translation still cannot handle, from Haiti to intelligence work.
Machine translation is a triage tool in cross-border litigation, not a substitute for human legal translation. Where it saves money and where it loses cases.