New Language

Research on new language development focuses on efficiently adapting existing large language models (LLMs) and speech recognition systems to handle previously unseen languages, often with limited training data. Current efforts concentrate on techniques like low-rank adaptation (LoRA), instruction tuning, and cross-lingual knowledge transfer, often employing transformer-based architectures and exploring efficient vocabulary management strategies. This work is crucial for expanding access to language technologies for under-resourced languages and improving multilingual applications such as machine translation, speech recognition, and information extraction.