Collaborative Translation 2.0

It is leveraging like in translation memory, except the productivity factor lies a hundred times higher.

It can be free because the accumulated data - the live translations - are much more valuable than the software.

Google gives the localization industry a tremendous boost, first with its recognition that translation is really the key to growth and second with its appreciation for the tremendous value of good quality translations.

benchmark

LSPs and software vendors will support more video- and telephone-based “remote language mediation” via human and machine interpretation.

efficient communication without a keyboard will become an expected feature from mobile carriers

companies will struggle with LSP and internal staff labor costs, flat or declining budgets, and increased demand for more content in more languages for both developed and emerging markets

companies should try to spark user-to-user discussion -- a surprisingly cost-effective option on Second Life.

West's epiphany came about by accident. One day, she was sitting on a Second Life art-gallery couch, talking to people from all over the world, and she had their rapt attention. "At that moment, I could have sold my couchmates on anything," she says. "I realized how powerful one-on-one engagement could be."

hypercreative users who wanted to interact.

the "LHC Grid,

"This is the next step after the Web," says David Colling, a scientist at Britain's Imperial College, which is contributing to the Grid. "Except that unlike the Web, you're sharing computing power and not files."

the experience of collaborating on such a large computing project has proved invaluable,

Works with speech recognition software such as Dragon Naturally Speaking to automatically convert speech to text.

communicate and collaborate on a project or an engagement without relying on email

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