Natural Language Processing: Enhancing Human-Computer Interaction
Abstract
Natural Language Processing (NLP) has made significant strides in improving human-computer interaction (HCI) by enabling machines to understand and generate human language. This study explores recent advancements in NLP, focusing on techniques such as transformers, sequence-to-sequence models, and attention mechanisms. By analyzing various applications, including chatbots, language translation, and sentiment analysis, we demonstrate the enhanced capabilities of NLP in facilitating seamless and intuitive interactions between humans and machines. Our findings highlight the potential of NLP in transforming HCI and suggest future directions for research and development in this field.
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References
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