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TEXT ATTRIBUTION to a particular subject field for
the English language.
Content recognition and information compression
software program, which understands your input sentence or
text and provides an upper level interpretation of
your input words.
For example, the sentence "Peter went
in the bank." will be interpreted as
Peter =>
man
bank => building
because "Peter" is a man (male
human being), the "Bank" is a building.
In the
content statistics, available at "File/Statistics", "Peter" will be
registered as "living being" and "bank" will be
registered as a "place" (one level higher up
than that printed out by the program).
In
another example, "The thief stole some dollars." will
be interpreted as
thief => criminal
stole => to take
dollars
=> money ,
because "The thief" is a human
being, a criminal (gender not specified) and the
"dollars" are money (hard currency).
In the content statistics,
available at "File/Statistics", "thief" will be registered as
"living being" and "money" will be registered as
"finances" (one level further up than that printed
out by the program).
The program provides also
statistics of the themes discussed in the text
(a fixed index of subject fields).