Natural Language Processing Model Compiling Natural Language into Byte Code

被引：0
作者：
Trifan, Alexandru [1 ]
Anghelus, Marilena [2 ]
Constantinescu, Rodica [3 ]
机构：
[1] Univ Politehn Bucuresti, Fac Elect Telecommun & Technol Informat, Informat Engn & Comp Sci, Bucharest, Romania
[2] Univ Politehn Bucuresti, Fac Elect Telecommun & Technol Informat, Adv Integrated Circuits Technol Automot Engn, ETTI, Bucharest, Romania
[3] Univ Politehn Bucuresti, Fac Elect Telecommun & Technol Informat, Dept Appl Elect, Bucharest, Romania
来源：
2017 INTERNATIONAL CONFERENCE ON SPEECH TECHNOLOGY AND HUMAN-COMPUTER DIALOGUE (SPED) | 2017年
关键词：
natural language processing; compiling; artificial inteligence; progressive learning; object oriented programming principles; aspect oriented programming principles;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The need of progress implies the need of time. Daily tasks have been automated to solve time issues but they still need the input of a user. The need for interaction with different applications may endanger the user's life. The simplest way for these automatiz ations to be "life-saving" is to fully support speech recognition. Although, right now, this is done in an acceptable manner, the main problem resides in the language processing model itself. Without a good language processing model, there is no "learning" and no "progress". This document is a technical proposal of a different approach regarding the processing of human languages and compiling it in a computer understandable form - byte code. The paper will treat the requirements needed for this to happen in the programming language known as Java, but the principles should be the same for any or all programming languages.
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页数：6
相关论文
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