{"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.