The Brainy Read for the Business Strategist: Natural Language Programming

Click on this to toggle to the Heart of the Matter

     Capturing the binary nature of English makes theExact Word^® algorithms crucial to Generation-5 initiatives.

     A binary application to programming languages from natural English  provides the English-speaking populace at large and the technical field a more intuitive computer interface.

For the Business Strategist

     theExact Word^®'s technical team can add product lines which surpass expert systems to enhance a client's current information applications.

     theExact Word^®'s technology can allow users to replicate the natural thought process for either humans or machines speaking to machines, assessing text, searching data, or thinking as others think.

     theExact Word^®'s technology does not depend upon semantics or a data-base of vocabulary definitions. The binary structure reveals that English operates as an architecture, with no exceptions, and identifies its fixed-word order of meaning. The fixed-word order algorithms solve the quandary in the field: how can the same word have so many meanings?

Multiple Meanings

     For a given word, multiple part-of-speech labels apply. But, without needing definitions, theExact Word^®'s technology identifies the part of speech by how the word is used. Where valuable, this information appears automatically on the screen.

     For "Generation-5" applications, the implications bode far deeper possibility. Computer functions can automatically know the difference between multiple meanings of words, irrespective of their grammatical labels.

     A jet engine would know which meaning, for example, of "still" applies to a pilot’s command. If a pilot in the Air Force says to its computer engine, "Still engine number 2" he or she does not want the computer to respond, "What does a distillery have to do with engine number 2?"

example:

Is engine #2 still operative?

Still engine #2.

   Nor would a pilot want the computer to misconstrue the meanings of the prior two sentences. Such a misunderstanding could cause catastrophic results.

example:

My uncle owns a still in West Virginia. When the tax people search for him for taxes, he stills the engines and hides under the still, lying very still; still, he stillruns his still next to the still-life store.

   Any English speaker knows that context changes the meanings of the word "still". The problem in the field lies in the computer’s inability to think as a human thinks. As a solution, the present invention identifies these changes without semantic definitions governing the look-up process.

example:

'Twas brillig, and the slithy toves

Did gyre and gimble in the wabe;

All mimsy were the borogoves,

And the mome raths outgrabe.

"Beware the Jabberwock, my son!

The jaws that bite, the claws that catch!

Beware the Jubjub bird, and shun

The frumious Bandersnatch!"

...

And, as in uffish thought he stood,

The Jabberwock, with eyes of flame,

Came shiffling through the tulgey wood,

And burbled as it came!

 

     By defining the syntactical architecture which has given these famous, nonsensical lines from Lewis Carroll's "Jabberwocky", context-based meaning, the lines are not nonsensical because they have context meaning.

     theExact Word^®'s software both parses the parts of speech of every word in that poem even though most of them are not English words and identifies the context meaning of them as well.

For Practical Application

Product partnerships offer vast potential.

• Natural language programs can "gist," or can augment existing word-tag and indexing programs; or, expert systems and scripted-response programs can embrace natural-language query.

• Personal communications devices can display the thought patterns in communication. Communication can include context and the multiple options for creating information instantly, and equally, to everyone.

• Word-searches can become thought-searches. Data can sort by context. Strategists can sort the significance of information, and can consider, contextually, the outcomes of data in ways no one has thought about previously.

• Planners can "striate" levels of thought in documents or collected information. The "gist" of thought, data, and search becomes the point, not the struggle.

• Language becomes a medium, a tool, not simply a referent system for entities wherein one word, for example, "cup", recalls a mental picture. Contextually, the relationship of "cup" to other information identifies the difference between, for example, "Pass the cup." or "Cup your hand."

• Source-code sorting can match human thought.

• Multiple languages can display side-by-side as context pairs, not plagued by silly, if humorous, transliterations.

• Artificial-intelligence problems have a new solution.

Goals: Artificial Intelligence Applications

-Parse text into its grammatical elements

-Understand the meaning of parsing contextually and relationally

     theExact Word^®'s software automatically parses every word of any given text into its grammatical parts of speech without any dictionary definitions whatsoever, no matter how complex the sentences inputted are. The invention works because we have implemented mathematical rules, which operate without exceptions, based on an empirical organization of syntax which opposes current syntactic models in the field of linguistics including "government and binding" theory, and "theta-role" theory.

     Numerous attempts have been made in the art to classify language into a particular scheme for using a computer system. These attempts have particularly(leave out this word?) focused on determining meaning, on a word-by-word basis, according to a look-up scheme in a dictionary. While varying degrees of success have been obtained, rules of traditional grammar or syntactical word definitions, drive these systems. These systems thereby inadvertently ignore the flexibility of language, thus making language as a computer system rigid and difficult to use, not reflecting the natural thought process.

For the Business Strategist and for Practical Application

     The implications of current access to Generation-5 language and programming technology are only limited by the imaginations of the users.

     The computer field need not relegate context assessment or algorithms to impossibility. Context assessment, or natural-language programming libraries, can augment current languages and expert systems. Programming with natural-language binary structures, inherent in natural language patterns, can now begin to open new vistas.

Contact Us

Back to NLP

Horizontal "Brainy" View
Seminars | Software | Academia | Free Text | Voice Activation
NLP | Machine Translation | Return Home