RuParser Mind Module of Russian Strong AI

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RuParser Russian Parser Module of Artificial Intelligence in Russian Language

Русскоязычный Искусственный Интеллект Душка

Purpose:
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 serve the purpose of Natural Language Understanding (NLU).

Function:
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.

Troubleshooting and Debugging:
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.

Future Development:
http://ai.neocities.org/RoadMap.html

Resources for Artificial Intelligence in Russian Language:

Руководство пользователя
http://ai.neocities.org/RuManual.html

Russian AI User Manual
http://ai.neocities.org/RuAiUser.html

Russian Wikipedia/Artificial Intelligence
http://ru.wikipedia.org/wiki/Искусственный_интеллект

GotAI.NET - Искусственный Интеллект/Форум
http://gotai.net/forum

Искусственный Интеллект -- Системы и модели
http://www.rriai.org.ru

Исследования в области Искусственного Интеллекта
http://artin.narod.ru

Философия искусственного интеллекта
https://skillbox.ru/course/aiphil

Русскоязычный Сообщество AGI
https://siberai.blogspot.com/2020/07/agi-russia.html

True Brain Computing
Использование технологий мозга для создания сильного ИИ
http://truebraincomputing.com/ru/о-нас
http://truebraincomputing.com/ru/описание-модели
http://truebraincomputing.com/ru/команда

RuParser() Documentation Webpage:
http://ai.neocities.org/RuParser.html