Jon O Labahn Jr created OPENNLP-1170:
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Summary: The inclusion of letter's mechanical meaning in NLP
processes.
Key: OPENNLP-1170
URL: https://issues.apache.org/jira/browse/OPENNLP-1170
Project: OpenNLP
Issue Type: Improvement
Components: Language Detector, Machine Learning
Affects Versions: 1.8.4
Environment: The on the market app applying the technique is in Java
for Android. Effectively the technique is not system specific.
Reporter: Jon O Labahn Jr
Fix For: 1.8.4
Attachments: LNSR Presentation.pdf
Using the LNSR ("Lenser") to Amplify Meaning
The understanding that letters, numbers and natual sounds have no underlying
meaning is taken for granted by _virtually everyone_...
With Letter/Numeral/Sonic Revealer, the capacity to use letters, numbers and
sounds-- with the defining "functional keywords"--can give greater depth to
documents and written works of all sorts!
Imagine the increase in refinement, as the deep and fundemental mechanics of
written communication, are part of your organization's potental...
Possible Applications:
1. Speed-Speak: Using single, or strings, of letters numbers and sounds in a
meaningful way... For instance, cutting the sentence, "Maintain within
guidelines.", down to the letter, "a".
2. Program Computers Using English:. (Currently under development.)
Mathmatizing letter and number mechanics to program devices in common English.
3. A "Working" Word Definition; No Dictionary Required:
Using the 26 mechanical kewords, get an approximate functional definition--in
English, Spanish, French--or any other language that uses the 26 letter
alphabet...(Most useful for _deepening_ one's understanding of expressions.)
Goals:
To expand the use of the LNSR app and techniques; to increase efficiency,
understanding and simplification in the above, and as yet undeveloped,
applications.
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