A major difficulty in developing automated language translation is that you need a system with a fairly extensive vocabulary from which it can learn, before any degree of reliability or accuracy is possible. The LC-STAR project developed just such a vocabulary.
“First, we created large lexica for several language databases,” explains project coordinator Ute Ziegenhain of Siemens in Germany. “Secondly, we developed a demonstrator that could automatically translate speech to speech for output to another interface.”
Having finished on 31 January 2005, the IST programme funded-LC-STAR developed vocabularies, called lexica, and bodies of writings, called corpora, for some 13 languages in all, ranging from Italian and Greek to include Arabic, Chinese, Hebrew and Russian. These linguistic databases comprise a minimum of 100,000 entries per language.
Tara Morris | alfa
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