Chairs
Mudar Sarem, Manara University, Syria
Xiaoming He, NJUPT, China
Natural Language Processing (NLP) is an interdisciplinary field of linguistics and computer science that focuses on enabling computers to understand, interpret, and generate human language. NLP is poised to revolutionize our interactions with computers, enabling seamless and natural communication between humans and machines. Recently, NLP has gained immense traction, driven by advancements in machine learning and deep learning techniques. The NLP tasks encompass a wide range of applications, from understanding the meaning of individual words to comprehending the context of entire sentences. The applications of NLP extend far beyond these examples, with potential in fields such as healthcare, education, customer service, and social media. The NLP algorithms are now capable of tackling complex challenges in various domains. As NLP algorithms become more sophisticated, they will play an increasingly integral role in shaping how we interact with technology and the world around us. The future of NLP is bright, with continuous advancements in machine learning and artificial intelligence fueling its growth and impact. Potential topics include, but are not limited to, the following:
- Embedded Speech
- Embedded Speech Recognition Devices
- Text classification, summarization, and generation
- Real-time Speech Recognition
- Natural Language Understanding
- Real-time Machine Translation
- Chatbots and Virtual Assistants
- Sentiment Analysis
- Information Extraction
- Market Intelligence
- High-performance Speech Recognition
- On-device Speech to text
