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 <mailto: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 <http://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 <http://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 <http://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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