Was just hoping that by pointing out that nothing he listed seems to come
up to anything (maybe hinting at vaporware) might trigger him to
re-evaluate, but forgot it was AT, my jedi mind tricks don't seem to work
on him..

    -Larry

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On Fri, Apr 5, 2019 at 3:43 PM justcamel <justca...@gmail.com> wrote:

> Can you guys finally stop giving the troll a stage? Maybe take a beginners
> course in programming if you can't tell nonsensical horse shit apart from
> code that actually does _anything_?
> On 05/04/2019 21:30, Larry Kelly wrote:
>
> Just fyi, most of those links in the top don't work.  The one (
> http://ghost.pl) takes you to some page with text written in either
> Italian, or some non-language.  No links work from that page.  None of the
> other links in the top of the email seem to come up.
>
>     -Larry
>
>
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> On Thu, Apr 4, 2019 at 8:20 AM A.T. Murray <mentific...@gmail.com> wrote:
>
>> 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
>>
>>
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