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A regional language translator using Python is a program that enables translation between two or more languages, with at least one of the languages being a regional language. The program leverages various Python libraries and APIs to accomplish this task.
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The first step in building a regional language translator using Python is to identify the input and output languages. The next step is to use a speech recognition library or API to detect and recognize the words spoken in the regional language. The recognized words can then be translated into the desired output language using a translation library or API.
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Libraries and APIs that can be used to build a regional language translator in Python using Neural Machine Translation(NMT) algorithm. These libraries and APIs provide a variety of functions, including speech recognition, language detection, and translation.
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Overall, building a regional language translator using Python is a challenging but rewarding project that can greatly benefit those who speak regional languages and want to communicate with people who speak other languages.
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It contains Text-to-Speech , Speech-to-Text and Text-to-Text conversion.
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We designed it using Python for backend and HTML, CSS for frontend.
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