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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM35966
Volume:
8 |
6 |
Jun 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The Next Word Prediction project aims to revolutionize the way humans interact with and utilize natural language processing (NLP) technologies. In an era where communication and information retrieval play pivotal roles in our daily lives, the need for more intuitive and efficient language models has never been greater. This project leverages state-of-the-art machine learning techniques and vast linguistic datasets to develop a cutting-edge next word prediction system. Key components of the project include data pre- processing, model selection, training, and evaluation. The project will explore a variety of deep learning techniques such as recurrent neural networks (RNN’s), transformer models, and advanced language models like LSTM. It will also delve into the challenges of handling different languages and dialects, as well as the diverse contexts in which NLP is employed. This project contributes to the field of natural language processing by demonstrating the efficacy of combining rule-based and language model-driven approaches for improved text prediction.
KEYWORDS
Publication Date
6/20/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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