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EnParser AGI Mind-Module
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menti...@gmail.com
Apr 4, 2019, 8:24:31 AM4/4/19
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EnParser serves the purpose of not only identifying a part of speech such as a noun, preposition or verb, but also of comprehending the part of speech in context by helping to assign associative tags among concepts in the Psy conceptual array. Thus EnParser and its Russian counterpart RuParser serve the purpose of Natural Language Understanding (NLU).
Algorithm of the EnParser AI Mind-Module
Since the main feature of the concept-based AI Minds is their demonstration of solving the AI-hard problem of natural language understanding (NLU), the EnParser module for parsing English is the main instrument of achieving the NLU goal.
The ghost.pl AI Mind in Strawberry Perl Five is becoming a conversational agent that may be installed to run in either the background or the foreground on any host computer.
The JavaScript AI Mind requires no download of either source code or programming language. Simply clicking on the link brings the tutorial AI Mind into your MSIE browser, where you may use the AI to teach students or AI coders.
If you want to issue verbal instructions to your autonomous humanoid robot, MindForth as the robot brain enables you and the robot to engage in a discussion of what work the robot should be doing, and how the work should be done, and how the robot should engage in back-and-forth communication using English for you to clarify youe instructions and for the robot to report to you its completion of tasks.
A. Words included in the MindBoot sequence lighten the load of EnParser.
Populating the MindBoot sequence with English words, the AI mind maintainer tries to include the most frequent English nouns and verbs, all the conjunctions, all the prepositions, and all the pronouns. Except for disambiguation, the embedded words do not need further parsing as to their parts of speech.
B. The first AI Minds could only parse SVO sentences into nouns and verbs.
The subject-verb-object (SVO) format of admissible inputs made it simple for the earliest AI Minds to classify English words as nouns or verbs. The parsing module could skip over the known Engliah articles and an important adverb like the word "NOT" being used to negate an English sentence.
C. The ghost112.pl AI became able to parse prepositional phrases.
Since the MindBoot sequence innately contains all the English prepositions identified as such, the AI Mind easily detects the input of a known English preposition and sets the $prepcon flag to a positive number one and loads the $tpp time-of-preposition flag with the ending time-point at which the input preposition is being instantiated as a node in conceptual memory. Then $tpp is used to zero in on the associative-tag flag-panel of the preposition, filling in the next noun or pronoun as the $seq of the preposition. Then the $tvb time-of-verb flag is used to insert the concept-number of the preposition as a $seq of the verb.
D. The ghost114.pl AI began to parse the indirect objects of verbs.
To parse and comprehend an indirect object, EnParser tentatively fills the time-of-indirect-object $tio flag with the input-time of the first noun being input after a verb. The $tio flag is set only once by requiring that it be at zero for it to be set. Simultaneously, the time-of-direct-object flag $tdo is filled with the same value as the $tio flag for an indirect object, because it is not yet known whether one noun or two nouns are being entered subsequent to the input of a transitive verb. If and when a second noun comes in, the value for the time-of-direct-object $tdo flag, originally filled with the same value as the indirect-object $tio flag, is replaced or overwritten with the new time of the second post-verb noun in the input stream.
If only one noun comes in after the verb, the identifier of the direct object is set only once. If two post-verb nouns come in, the first noun becomes the indirect object and the second noun becomes the direct object.
--
http://medium.com/p/6112f4b2c556
http://ai.neocities.org/EnParser.html
Algorithm of the EnParser AI Mind-Module
Since the main feature of the concept-based AI Minds is their demonstration of solving the AI-hard problem of natural language understanding (NLU), the EnParser module for parsing English is the main instrument of achieving the NLU goal.
The ghost.pl AI Mind in Strawberry Perl Five is becoming a conversational agent that may be installed to run in either the background or the foreground on any host computer.
The JavaScript AI Mind requires no download of either source code or programming language. Simply clicking on the link brings the tutorial AI Mind into your MSIE browser, where you may use the AI to teach students or AI coders.
If you want to issue verbal instructions to your autonomous humanoid robot, MindForth as the robot brain enables you and the robot to engage in a discussion of what work the robot should be doing, and how the work should be done, and how the robot should engage in back-and-forth communication using English for you to clarify youe instructions and for the robot to report to you its completion of tasks.
A. Words included in the MindBoot sequence lighten the load of EnParser.
Populating the MindBoot sequence with English words, the AI mind maintainer tries to include the most frequent English nouns and verbs, all the conjunctions, all the prepositions, and all the pronouns. Except for disambiguation, the embedded words do not need further parsing as to their parts of speech.
B. The first AI Minds could only parse SVO sentences into nouns and verbs.
The subject-verb-object (SVO) format of admissible inputs made it simple for the earliest AI Minds to classify English words as nouns or verbs. The parsing module could skip over the known Engliah articles and an important adverb like the word "NOT" being used to negate an English sentence.
C. The ghost112.pl AI became able to parse prepositional phrases.
Since the MindBoot sequence innately contains all the English prepositions identified as such, the AI Mind easily detects the input of a known English preposition and sets the $prepcon flag to a positive number one and loads the $tpp time-of-preposition flag with the ending time-point at which the input preposition is being instantiated as a node in conceptual memory. Then $tpp is used to zero in on the associative-tag flag-panel of the preposition, filling in the next noun or pronoun as the $seq of the preposition. Then the $tvb time-of-verb flag is used to insert the concept-number of the preposition as a $seq of the verb.
D. The ghost114.pl AI began to parse the indirect objects of verbs.
To parse and comprehend an indirect object, EnParser tentatively fills the time-of-indirect-object $tio flag with the input-time of the first noun being input after a verb. The $tio flag is set only once by requiring that it be at zero for it to be set. Simultaneously, the time-of-direct-object flag $tdo is filled with the same value as the $tio flag for an indirect object, because it is not yet known whether one noun or two nouns are being entered subsequent to the input of a transitive verb. If and when a second noun comes in, the value for the time-of-direct-object $tdo flag, originally filled with the same value as the indirect-object $tio flag, is replaced or overwritten with the new time of the second post-verb noun in the input stream.
If only one noun comes in after the verb, the identifier of the direct object is set only once. If two post-verb nouns come in, the first noun becomes the indirect object and the second noun becomes the direct object.
--
http://medium.com/p/6112f4b2c556
http://ai.neocities.org/EnParser.html
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