There have been high hopes for Natural Language Processing. Natural Language Processing, also known
simply as NLP, is part of the broader field of Artificial Intelligence, the effort towards making machines think.
Computers may appear intelligent as they crunch numbers and process information with blazing speed. In truth,
computers are nothing but dumb slaves who only understand on or off and are limited to exact instructions. But
since the invention of the computer, scientists have been attempting to make computers not only appear intelligent
but be intelligent. A truly intelligent computer would not be limited to rigid computer language commands, but
instead be able to process and understand the English language. This is the concept behind Natural Language
ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ The phases a message would go through during NLP would consist of message, syntax, semantics,
pragmatics, and intended meaning. (M. A. Fischer, 1987) Syntax is the grammatical structure. Semantics is the
Pragmatics is world knowledge, knowledge of the context, and a model of the sender. When
syntax, semantics, and pragmatics are applied, accurate Natural Language Processing will exist.
ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ Alan Turing predicted of NLP in 1950 (Daniel Crevier, 1994, page 9):
ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ 'I believe that in about fifty years' time it will be possible to program computers .... to
make them play the imitation game so well that an average interrogator will not have more than
70 per cent chance of making the right identification after five minutes of questioning.'
ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ ÃÂÃ But in 1950, the current computer technology was limited. Because of these limitations, NLP programs of
that day focused on exploiting the strengths the computers did have. For example, a program called SYNTHEX
tried to determine the meaning of sentences by looking up each word in its encyclopedia. Another early approach
was Noam Chomsky's at MIT. He believed that language could...