Google Translate Blog
The official source for news on Google's translation technologies
100,000 language pairs and advanced features in Translator Toolkit
Tuesday, May 4, 2010
Last week, we launched a variety of features on
Google Translator Toolkit
, Google’s easy-to-use translation aid.
100,000 language pairs.
Now you can translate from
345 source languages into 345 target languages
in Translator Toolkit. For example, you can translate from Welsh into Spanish or Māori into Chinese.
Open translation as a Google document.
When you’ve completed your translation, you can publish your translation into
. From Docs, you can invite other users to edit or view the translation, or you can publish your translation as a web page.
Translator Toolkit now supports spell check, so you can verify the spelling of your translations.
To help you translate even faster, you can now customize your translation view so that, for example, machine-translated text is red, ‘high-fuzzy’ match (or near-perfect) translations are orange, and human translations are black. By customizing your view, you can quickly spot the text that needs the most work.
When you create a new translation, we now calculate translation scope, which shows the number of untranslated words, machine translated words, ‘high-fuzzy’ match words, and perfect translation memory words in your translation. Translation statistics can help you figure out how much work you’ll need to do to create the perfect translation even before you get started.
Split and merge segments.
Sometimes one sentence in one language translates to two sentences in another language. For example, the English sentence,
Jen is a huge Dalí fan and she wanted to hit both Figueras and Cadaqués, two must-sees on her itinerary.
translates into two sentences in Chinese:
By splitting the segment, advanced users can improve leverage in their translation memories. Similarly, we also allow users to merge segments, so advanced users can rearrange sentences to create the perfect translation.
Check out these latest features in
let us know
what you think.
Posted by Srinidhi Viswanatha, Software Engineer
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