At the end of the 19th century, L. L. Zamenhof proposed Esperanto; it was intended as a global language to be spoken and understood by everyone. The inventor was hoping that a common language could resolve global problems that lead to conflict. Esperanto as a planned language might have had some success, but today, English is much more universal. 30 countries have it as an official language, and in many other countries it is taught in school and understood fairly well. The internet can be suspected to further increase the adoption of English.

Still, many people can’t speak English. The collected, shared knowledge that makes up the web is therefore only partly accessible to them. The reverse, of course, is true as well. When you surf the web, you will sometimes come across languages and characters you don’t understand – like Chinese, Arabic, Korean, French, German, Italian, Spanish, or Japanese. Would you be able to fluently read these languages, those sites wouldn’t be a dead end for you. You would discover a wealth of knowledge, and more importantly, opinions. If you’re an US citizen, how many Arabic, German or French sources do you read to get a good understanding of how the world sees the US? How many blogs do you read in foreign languages? Probably not many, unless you’re fluent in those languages.

At the recent web cast of the Google Factory Tour, researcher Franz Och presented the current state of the Google Machine Translation Systems. He compared translations of the current Google translator, and the status quo of the Google Research Lab’s activities. The results were highly impressive. A sentence in Arabic which is now being translated to a nonsensical “Alpine white new presence tape registered for coffee confirms Laden” is now in the Research Labs being translated to “The White House Confirmed the Existence of a New Bin Laden Tape.”

Just think how eerie it would be, yet also how peaceful - people all around having conversations on their mobile phones, but without uttering a sound.

Thanks to some military research, this social nirvana just might come true. DARPA, the US Department of Defense's research agency, is working on a project known as Advanced Speech Encoding, aimed at replacing microphones with non-acoustic sensors that detect speech via the speaker's nerve and muscle activity, rather than sound itself.

One system, being developed for DARPA by Rick Brown of Worcester Polytechnic Institute in Massachusetts, relies on a sensor worn around the neck called a tuned electromagnetic resonator collar (TERC). Using sensing techniques developed for magnetic resonance imaging, the collar detects changes in capacitance caused by movement of the vocal cords, and is designed to allow speech to be heard above loud background noise.