JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
Machine Learning Techniques For Next Word Prediction.
Veeresh K M, Prashanth Ankalkoti.
Next word prediction helps to enhance the typing speed of new language learners, we employ auto-completion utilizing advanced natural language processing technology. Specifically, we use the BERT (bidirectional encoder representations from transformers) model to predict word sequences. This approach helps new language learners type more efficiently and quickly. Various models, including federated models and NLP, have been explored by researchers. The BERT model, in particular supports traditional parameters such as the number of predictions and tasks, while ensuring that the predictions are relevant. This technology is integrated into messaging apps and document creation software such as microsoft word and dropbox paper. Additionally, flask-a lightweight web frameworkreveals the essential features of the prediction models and integrates them with other applications. This integration facilitates the implementation of prediction models into various platforms. Thereby enhancing the user experience for new language learners by making text entry more efficient and effective.
BERT, NLP.