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Natural language processing (NLP) in China is rapidly evolving, driven by technological advancements, supportive policies, and industry demands. The evolution of NLP can be traced through four key stages, from rudimentary machine translation systems to sophisticated deep learning models like BERT and GPT. This transformation is significantly influenced by government initiatives that promote AI integration across various sectors.
The Chinese government has implemented a series of policies to foster innovation in AI, particularly in NLP applications across finance, healthcare, and legal sectors. These sectors are increasingly adopting NLP tools to enhance efficiency, reduce costs, and improve accuracy in data processing and decision-making. The market for NLP is projected to grow substantially, reflecting the increasing reliance on AI technologies in everyday business operations.
• NLP market in China projected to reach USD 4.3 billion by 2024.
• Government policies significantly boost NLP development and application across industries.
NLP enables machines to understand and process human language, enhancing communication between humans and computers.
Deep learning techniques, such as transformer architectures, have revolutionized NLP by improving contextual understanding.
Generative AI refers to algorithms that can create new content, which is regulated under recent Chinese policies.
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