Phrase dictionary table

Phrase dictionary table keeps phrase dictionary.

First concept may be either word or phrase.

Second concept may be either word or phrase.

Example #1

“Black box” phrase is represented in phrase dictionary table by first word “black” and second word “box”.

Dictionary table for two-word phrases (Phrase2 table):

Field	Description	Type
PhraseId	Key field = ConceptId of concept representing this phrase in the main memory	Unsigned Int (4 bytes)
WordId1	ConceptId of the first word in the phrase	Unsigned Int (4 bytes)
WordId2	ConceptId of the second word in the phrase	Unsigned Int (4 bytes)

Dictionary table for three-word phrases (Phrase3 table):

Field	Description	Type
PhraseId	Key field = ConceptId of concept representing this phrase in the main memory	Unsigned Int (4 bytes)
WordId1	ConceptId of the first word in the phrase	Unsigned Int (4 bytes)
WordId2	ConceptId of the second word in the phrase	Unsigned Int (4 bytes)
WordId3	ConceptId of the second word in the phrase	Unsigned Int (4 bytes)

Let imagine that strong AI reads phrase: “Let’s play!”.

This phrase will be represented as list of words: “Let’s”, “play”, “!”.

Let assume that words “play” and “!” are already in Word Dictionary table

Let assume that there are 2995 concepts already exist in the Concept table.

1 row will be added to the Word dictionary table:

WordDictionary table:

ConceptId	Word
2996	Let’s

This concept will be added into the Main Memory: New word “Let’s” with ConceptId = 2996.

Because now there are 2996 concepts in the Main Memory, the phrase will be saved with ID = 2997:

Phrase3 table :

PhraseId	WordId1	WordId2	WordId3
2997	2996	582	377

This phrase (“Let’s play!”) will be added into the Main Memory with ConceptId = 2997

Result concept table might look like this:

Concept table:

There are two more phases in the text “Let’s play!”:

1) “Let’s play”

2) “play !”.

They also should be added into Phrase2 dictionary table.