Handeling language in computers
Information from language
Dividing into group of letters (a-z) and special characters (!,-)
- Classifying tokens
Loop until no new discovery:
- Classify by recognition
- Classify by position
- Setting up entities with modifiers
Words should be stored in their most primitive form. Any change
from this should be stored with referred modifiers. This way
assosication is kept.
- Applying attributes
Adjectives and adverbs should be related to the correspondent
word as attributes.
- Setting up relations of subject and object
The relations should be distinguised from attributes.
- Context references
One for each sentence, sub-sentence, paragraph, section etc.
- Resolving 'it', 'this', 'that' etc.
If not emphasised or given context - previous context. Higher
emphasis - higher up in the context hierarchy.
- Apply references for abstractions and realizations.
- Apply references for containers and parts.
- Apply references for intention and solution.
- Apply references for causal and effect.
- Apply references to time.
Coherence from information
This can be run independent from the rest by only adding new
references and not modifying anything.
- Abstractions / realizations
- Intentions / solution
- Causale / effect
- Container / part
Queries of coherence
- Finding the nodes in the question
- Map the query to the existing data.
- The answer to the question is the mapping to the question
word (e.g. 'what', 'why').
- Counting and equality
Where several solutions partially apply, the one that matches the
By rules or by patterns. The last might be somewhat adaptive by
asking when there is a new pattern.
- Identifying word types, substantive, verg, adverb and adjective.
- Identifying sentence structure and how it is mapped together.
Last updated 2003-01-23.