Research AI move toward Morphological Neural Layered Dimension

Suna Yoon
1 min readSep 9, 2019

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3-dimensional decision making

Source: Train 1, get M for free.

Research direction: samples, mechanism, methods, instrument, funding grant resource. This paper proposes a novel approach to evaluate the utility of a neural machine learning framework for the task of academic paper research natural language processing.

Table 1. the sequence of occurrences of word vectors for each word pair. The sequences of occurrences of word vectors for any of the four major lexical groups used by neural machine translation (NN), the three lexical groups, the two major morphological groups (morphological, and syntactic).

Fig 1. Weight on arrows when morphologically layered in 3Dimensional cartesian space. It could be a market trend or linked to higher popularity of engagement.

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Suna Yoon
Suna Yoon

Written by Suna Yoon

Youth Tech @GroupStudy evangelist. Stanford Center Professional Development@scpd. Oil&GasSurfaceAreaAI. Scientific AR curator. #AmericanAcademica Strong Again �

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