For example, if an Arabic-speaking reader wants to translate a Wikipedia™ article into Arabic, she loads the article into Translator Toolkit, corrects the automatic translation, and clicks publish. By using Translator Toolkit's bag of tools — translation search, bilingual dictionaries, and ratings, she translates and publishes the article faster and better into Arabic. The Translator Toolkit is integrated with Wikipedia, making it easy to publish translated articles.
Best of all, this automatic translation system "learns" from her corrections, creating a virtuous cycle that can help translate content into 47 languages, or over 98% of the world's Internet population.
Here's what you can do with Google Translator Toolkit:
- Upload Word documents, OpenOffice, RTF, HTML, text, Wikipedia articles and knols.
- Use previous human translations and machine translation to 'pretranslate' your uploaded documents.
- Use simple WYSIWYG editor to improve the pretranslation.
- Invite others (by email) to edit or view your translations.
- Edit documents online with whomever you choose.
- Download documents to your desktop in their native formats --- Word, OpenOffice, RTF or HTML.
- Publish your Wikipedia and knol translations back to Wikipedia or Knol.
How is this different from Google Translate?
Google Translate provides ‘automatic translations’ produced purely by technology, without intervention from human translators. In contrast, Google Translator Toolkit allows human translators to work faster and more accurately, aided by technologies like Google Translate.
For translation professionals, it provides advanced features such as terminology and translation memory management.
For more information, check out introductory video below :
1 comment:
Today the work need to be done after the translation engine is about the same work required to translate from scratch. Yet, Google is looking into the distant future and wants its translation DB to expand. This may benefit everybody: the translator, Wikipedia, Google and the foreign information consumer. This would be useful for users of translation services like OneHourTranslation.com too, since email translation requests seems to have a lot of mutual content.
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