• Twinkle Dharashive
• Sudity Khushi
• Lokesh Kolte
• Rohit Mahajan

The ability to communicate with one another is a fundamental part of being human. There are nearly 7,000 different languages worldwide. As our world becomes increasingly connected, language translation provides a critical cultural and economic bridge between people from different countries and ethnic groups. Language detection and translation is the undertaking of naturally identifying the languages present in an archive and translating them to the required language present with the records. In this work, we address the issue of distinguishing reports that contain text data present in single/multilingual records as well as an audio record that contain speech and present a technique that can recognize a record of particular language, gauge their relative meanings, and further translate them to a single language of our choice by using NLP. We exhibit the viability of our strategy over manufactured information, just as true multilingual archives would do to get a proper translation of our preferred language.

Language Identification (LI), Support Vector Classifier (SVC), Language Modeling (LM), Natural Language Processing (NLP), Machine Translation (MT), Machine Learning.

"Multilingual Language Translator by Detecting Various Languages in the Document / Speech Using NLP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.b478-b483, December-2021, Available :http://www.jetir.org/papers/JETIR2112156.pdf

"Multilingual Language Translator by Detecting Various Languages in the Document / Speech Using NLP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppb478-b483, December-2021, Available at : http://www.jetir.org/papers/JETIR2112156.pdf