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Using Natural Language Processing to Translate Plain Text into Pythonic Syntax in Kannada

机译:使用自然语言处理将纯文本翻译成kannada的Pythonic语法

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Digital evolution has made various services and products available at everyone's fingertips and made human lives easier. It has become necessary for individuals with a passion to be a part of this digital evolution to learn how to write code, which is the basic literacy of the digital age. But writing code has become a privilege for students with prior knowledge of English. This project aims to remove this language barrier by teaching students to solve coding problems in their native language and to convert their logic to code. The paper presents a platform where students provide their logic to coding problems in their native language in plain text, which is then converted to python code using natural language processing techniques. The current platform can successfully identify and convert conditional statements in the Kannada language into python code. The next effort will be aimed at extending this to recognize loop statements and create a framework for a wide variety of languages.
机译:数字演变已经为每个人的指尖提供了各种服务和产品,使人类生活更容易。 对于这种数字演进的一部分,个人对个人成为必要的,以了解如何编写代码,这是数字时代的基本识字。 但是写作代码已成为英语先验知识的学生的特权。 该项目旨在通过教学学生解决本母语的编码问题并将其逻辑转换为代码来删除此语言障碍。 本文介绍了一个平台,学生在纯文本中向其母语中的母语提供逻辑,然后使用自然语言处理技术将其转换为Python码。 当前平台可以成功识别并将kannada语言中的条件语句转换为Python代码。 下一步努力将旨在扩展它以识别循环语句并为各种语言创建框架。

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