Rashi Jadhav, Swarangi Wankar, Shrutika Umare, Shruti Kande, Prof. Madhavi Sadu
Language Identification, Natural Language Processing, Translation, Language detection API.
This project aims to develop a robust system for automated language detection leveraging the power of Natural Language Processing (NLP) techniques. Language detection is a fundamental task with applications ranging from content filtering and information retrieval to multilingual user interfaces. Our approach involves the utilization of advanced machine learning algorithms and linguistic features to accurately identify the language of a given text. The system will employ a combination of statistical methods, such as n-gram analysis and frequency-based models, along with machine learning algorithms trained on diverse multilingual datasets. Pre-processing techniques will be applied to handle variations in spelling, grammar, and character encoding. Additionally, the model will be designed to efficiently handle short and noisy text inputs. The project's significance lies in its potential to enhance the efficiency of multilingual applications, improve content classification, and contribute to the development of more inclusive and accessible digital interfaces. The effectiveness of the proposed system will be evaluated through comprehensive testing on a diverse set of texts in various languages, ensuring its adaptability and accuracy.
Article Details
Unique Paper ID: 164594

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 1299 - 1309
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews