Natural Language Interface to Linux Shell – Report

N. Kumar, M. Nagalakshmi, Tanya Sharma, S. Ambati, Vibha Satyanarayana
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Abstract

Many a time, a user might not remember the exact Linux commands to apply while using the Linux shell. The programmer ends up searching for the correct solution. Having a natural language interface (like English) to a shell would help programmers’ in performing their desired tasks without having to think much about the particular command or option that needs to be used. We present a tool that can convert natural language into executable Linux commands. This paper covers the related work done in this field and our approach to solving this problem. Research in this field is fairly new and there are two tools in this domain, Tellina[1] and Betty. Tellina is a powerful tool which covers file operations with high complexity. Apart from file utilities, our tool also covers a wider scope of commands including awk and sed. A novel approach is used to find the structure of the command. This paper includes the comparisons between Neural Machine Translation (NMT), Statistical Machine Translation(SMT), similarity models and machine learning models.
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Linux Shell的自然语言接口-报告
很多时候,用户可能不记得在使用Linux shell时应用的确切Linux命令。程序员最终会寻找正确的解决方案。拥有shell的自然语言接口(如英语)将有助于程序员执行他们想要的任务,而不必考虑需要使用的特定命令或选项。我们提出了一个可以将自然语言转换为可执行Linux命令的工具。本文介绍了在这一领域所做的相关工作以及我们解决这一问题的方法。这一领域的研究相对较新,目前有两种工具,Tellina[1]和Betty。Tellina是一个功能强大的工具,涵盖了高复杂性的文件操作。除了文件实用程序,我们的工具还涵盖了更广泛的命令范围,包括awk和sed。采用了一种新颖的方法来查找命令的结构。本文对神经机器翻译(NMT)、统计机器翻译(SMT)、相似度模型和机器学习模型进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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