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Computer science has struggled to improve communications between machines and humans for years.

The problem is that human programmers can't figure out how to develop software that would "understand" how people talk. The industry has developed specific terminology to address this problem: Living language, the language that people speak; and formal, Natural language, the language that computers understand.

Differences between Living language and Natural language are vast. In Living language, people communicate using the ever-changing criteria for what a particular phrase might mean under different circumstances. For instance, if a tourist asks a New Yorker: "Where is Grand Central?" both parties would know they are talking about a train station.

For a computer to understand this same question it has to be translated into Natural language, where the phrase "Grand Central" would have to be classified as "New York City Tourist Attractions," and the word "where is" would serve as keywords to open the "Guides, Maps, Directions" part of the database.

It is easy to see why computers have hard time "understanding" humans. The process of translating Living language into Natural language had been arduous and thus slow.

When the history of the information technology gets written LexiClone would go down as the company that has reinvented the search by reinventing the way humans communicate with computers.

At the core of our technology lies the belief that improving communications between a man and a machine can't be done simply through automating and rationalizing the process of Living to Natural language translation. This approach is wrong because every human being has a different spin on Living language. We believe that humans develop a personal slang out of Living language, a result of highly personal experiences of interacting with the outside world. Therefore for computers to "understand" each and every one of us they have to "understand" individual slangs. (See Ilya Geller's article In Search of a Living Language (re-writing, September 2004)

In that vein, we have developed a technology that creates documents' and helps users to create their personal summaries that in turn are used to access existing databases of information. Surprising accuracy of results is a good indication we are on the right track with our research.





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