It covers both theoretical and practical aspects, fostering knowledge exchange and advancements in the following areas:

• Natural Language Processing (NLP)
• Language Models
• Text Generation
• Machine Translation
• Sentiment Analysis
• Syntax Modeling
• Semantic Analysis
• Morphological Processing
• Speech Recognition
• Text-to-Speech Systems
• Voice Recognition
• Corpus Linguistics
• Linguistic Datasets
• Lexicons and Tools
• Machine Learning in Linguistics
• Multilingual Computing
• Cross-Language Information Retrieval
• Low-Resource Languages
• Dialogue Systems
• Chatbots
• Conversational AI
• Information Retrieval
• Text Mining
• Text Analytics
• Computational Ethics
• Bias and Fairness in AI
• Language Education Tools
• Computational Assessment Systems