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
