1. Cognitive architecture
Diagram of the RuParser Russian Parser Mind-Module
/^^^^^^^^^\ RuParser Determines Parts Of Speech /^^^^^^^^^\ / EYE \ MINDCORE _____ / EAR \ / \ CONCEPTS /New- \ / \ | _______ | | | | _____ (Concept)-|-------------\ | | /old \ | | | | /Old- \ \_____/ | Audition | | | / image \---|-----+ | (Concept)------|---|-----------\ | | | \ recog / | | | | \_____/-------|---|---------\ | | | | \_______/ | a| | | |________V | | | | | | | b|C| | / RuParser \ | | | | | | visual | s|O|f| \__________/ | | | | | | | t|N|i| |noun? |СТУДЕНТЫ-/ | | | | memory | r|C|b| |verb? | | | | | | a|E|e| |adj.? |ЧИТАЮТ-----/ | | | channel | c|P|r| |adverb? | | | | | t|T|s| |prep.? |КНИГИ--------/ | | _______ | | | | |conj.? | | | /new \ | |_|_| ______V____ | | | / percept \ | / \ / \ | | | \ engram /---|--\ Psy /-----( InStantiate ) | | | \_______/ | \___/ \___________/ | |
2. Purpose of the
AI4U Textbook RuParser Mind-Module
RuParser 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 RuParser and its English counterpart EnParser and its ancient Latin counterpart LaParser serve the purpose of Natural Language Understanding (NLU).
3. Function of the RuParser Mind-Module
In contrast with the much simpler EnParser mind-module for English, the Russian RuParser module relies more on Russian inflectional endings than on word-order to determine the part of speech (POS) of a Russian word as part of comprehending the idea being conveyed. The dative inflectional ending overrides word-order in Russian to indicate that a Russian word is either the indirect object of a transitive verb or the object of a Russian preposition used with the dative case.
To parse and comprehend an indirect object, RuParser 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.
4. Code of RuParser() from ghost298.pl First Working AGI in
Perl
sub RuParser() { # http://ai.neocities.org/RuParser.html $act = 48; # 2016apr28: an arbitrary activation for InStantiate() $bias = 5; # 2016feb24: Expect a noun until overruled. if ($fyi > 2) { # 2016feb24: if mode is Diagnostic } # 2016feb24: end of test for Diagnostic or Tutorial mode. if ($pos == 5) { $bias = 8 } # 2016feb24: after noun, expect verb. if ($pos == 7) { $bias = 8 } # 2016feb24: after pronoun, expect verb. if ($pos == 8) { $bias = 5 } # 2016feb24: after verb, expect noun if ($pos == 6) { $prepcon = 1; $tpp = $tult } # 2017-09-17: prepare for noun. if ($pos == 5 || $pos == 7) { # 2017-09-17: if (pro)noun follows preposition... $tsj = ($t - 1); # 2019-06-06: subject? if ($prepcon == 1) { # 2017-09-17: if preposition-condition is on... my @k=split(',',$psy[$tpp]); # 2017-09-17: expose flag-panel of preposition; $pre = $k[1]; # 2017-09-17: Let $pre briefly be the preposition. $psy[$tpp]="$k[0],$k[1],$k[2],$k[3],$k[4],$k[5],$k[6]," . "$k[7],$k[8],$k[9],$k[10],$k[11],$psi,$k[13],$k[14]"; # 2017-09-17 @k=split(',',$psy[$tult]); # 2017-09-13: expose flag-panel of obj of prep. $psy[$tult]="$k[0],$k[1],$k[2],$k[3],$k[4],$k[5],$k[6]," . "4,$k[8],$k[9],$pre,$k[11],0,$k[13],$k[14]"; # 2017-09-17 $prepcon = 0; # 2017-09-17: Reset to prevent carry-over. } # 2017-09-17: end of test for a positive $prepcon. } # 2017-09-17: end of test for a noun or pronoun. if ($pos == 8) { # 2019-06-06: if part of speech is Russian 8=verb... $tvb = ($t - 1); # 2019-06-06: hold onto time-of-verb for flag-insertions. $verbcon = 1; # 2019-06-06: verb-condition is "on" for ind. & dir. objects. my @k=split(',',$psy[$tsj]); # 2019-06-06: expose flag-panel of subject noun $subjpre = $k[1]; # 2019-06-06: Hold onto $subjpre for the pos=8 verb $psy[$tsj]="$k[0],$k[1],$k[2],$k[3],$k[4],$k[5],$k[6]," . "1,$k[8],$k[9],$k[10],$k[11],$psi,$tvb,$k[14]"; # 2019-06-06 @k=split(',',$psy[$tult]); # 2019-06-06: expose flag-panel of verb. $psy[$tult]="$k[0],$k[1],$k[2],$k[3],$k[4],$k[5],$k[6]," . "$k[7],$k[8],$k[9],$subjpre,$k[11],0,$k[13],$k[14]"; # 2019-06-06 $subjpre = 0; # 2019-06-06: Reset for safety. } # 2019-06-06: end of test for a pos=8 Russian verb. InStantiate(); # 2016feb24: for creating @psi concept-nodes } # 2016feb24: RuParser() returns to OldConcept() or NewConcept().
5.
Variables for the RuParser Russian AI Mind Module
$pos -- (part of speech) 1=adj 2=adv 3=conj 4=interj 5=noun 6=prep 7=pron 8=verb
6. Troubleshooting and Debugging for
AI Mind Maintainers
6.1.a. Symptom: (Something goes wrong.)
6.1.b. Solution: (AI Mind
Maintainer devises solution.)
To debug the function of assigning indirect and direct objects, the AI Mind Maintainer enters a typical sentence such as the Russian for "Students show the teacher a robot" that contains both an indirect object and a direct object, and presses Escape to halt the AI after the input. Then the Maintainer examines the display of the conceptual array to see if $iob and $seq have been properly assigned. The AI coder may also insert diagnostic "print" messages into InStantiate() and RuParser() so as to observe the process of assigning a tag during the input and comprehension of a sentence.
8. Resources for Artificial Intelligence in Russian Language
9. Spread the News on TikTok and Other Venues
Are you on TikTok? Are you eager to be a ThoughtLeader and Influencer?
Create a
TikTok video in the following easy steps.
I. Capture a screenshot of
https://ai.neocities.org/RuParser.html
for the background of your viral TikTok video.
II. In a corner of the screenshot show yourself talking about the RuParser module.
III. Upload the video to TikTok with a caption including all-important hash-tags
which will force governments and corporations to evaluate your work
because of FOMO -- Fear Of Missing Out:
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#StrongAI #transhumanism #Turing #TuringTest #volition
A sample video is at
https://www.tiktok.com/@sullenjoy/video/7230446065814637870
10.
AiTree of Mind-Modules for
Natural Language Understanding
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