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Cognitive Machine Translation Model: POVs and Musketeer Classes as Algorithms of Shared Reality

机译：认知机器翻译模型：POV和火枪手类作为共享现实算法

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A multimodular Cognitive Translation Model (CTM) offers algorithms of recognition, identification and equivalency in a model of translation replicating human cognitive-linguistic competency. Translation adequacy is achieved by triangulating unique alpha-numeric addresses of CMT elements. This protocol (1) relates a word-form to a referent; (2) identifies one referent's POV spectrum -. an inventory of all Points of View of any aspect of the referent. (3) identifies members of the class of referents created by a POV; ((4) assigns each POV a unique alpha-numeric address. (5) connects POV to its four proprietary sets of Musketeer classes of operants serving all referents grouped by the POV. (6) identifies that each referent word-form pair claims unique coordinates of (a) all POV addresses in its spectrum and (b) all addresses of operants bundled with each POV. (7) Textual equivalency between coda is established and verified by finding referents with identical coordinates.
机译：多模认知翻译模型（CTM）在复制人类认知语言能力的翻译模型中提供了识别，识别和对等算法。通过对CMT元素的唯一字母数字地址进行三角测量，可以实现翻译的充分性。该协议（1）将单词形式与被指联系在一起; （2）标识一个参照对象的POV谱-。所指对象任何方面的所有观点的清单。 （3）标识由POV创建的引用对象类别的成员; （（4）为每个POV分配一个唯一的字母数字地址。（5）将POV连接到为其服务于POV分组的所有参照对象的Musketeer运算符的四个专有集合。（6）标识每个参照词形式对声明唯一（a）其频谱中的所有POV地址的坐标，以及（b）与每个POV捆绑在一起的运营商的所有地址的坐标（7）通过查找具有相同坐标的引用对象来建立和验证尾声之间的文本等效性。

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