Natural language processing model compiling natural language into byte code

A. Trifan, Marilena Anghelus, R. Constantinescu
{"title":"Natural language processing model compiling natural language into byte code","authors":"A. Trifan, Marilena Anghelus, R. Constantinescu","doi":"10.1109/SPED.2017.7990434","DOIUrl":null,"url":null,"abstract":"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 automatizations 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.","PeriodicalId":345314,"journal":{"name":"2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPED.2017.7990434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

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 automatizations 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.
将自然语言编译成字节码的自然语言处理模型
需要进步就意味着需要时间。日常任务已经自动化以解决时间问题,但它们仍然需要用户的输入。与不同应用程序交互的需要可能会危及用户的生命。要让这些自动化“拯救生命”,最简单的方法就是完全支持语音识别。虽然目前这是以一种可接受的方式完成的,但主要问题在于语言处理模型本身。没有良好的语言处理模式,就没有“学习”,也就没有“进步”。本文档是关于处理人类语言并将其编译成计算机可理解的形式字节码的一种不同方法的技术建议。本文将讨论在被称为Java的编程语言中实现这一点所需的需求,但是对于任何或所有编程语言,原则应该是相同的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信