Deep Learning for Natural Language Processing in  Bilingual Language

Deep Learning for Natural Language Processing in Bilingual Language
Author(s):
Pooja G , Gudarada vandana, Usha AH, Muskaan, Pathanjali C
Keywords:
Code-Switching, Speech recognition, Neural Machine Translation, BERT model.
Abstract
Existing and emerging technologies aid in the resolution of real-time problems without the need for manual intervention. Code-Switching allows people to socialize with others, learn new languages. This paper discusses various approaches to code-switching, including recurrent neural networks (RNN), support vector machines (SVM), bidirectional encoder representations from Transformers (BERT), and others. As a result, an appropriate method must be chosen to achieve maximum accuracy with solutions to all existing problems with minimal enhancements.
Article Details
Unique Paper ID: 154754 Publication Volume & Issue: Volume 8, Issue 12 Page(s): 335 - 340
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