Language Encoders

Language encoders are computational models that transform text into numerical representations, facilitating various natural language processing tasks. Current research focuses on improving their ability to capture nuanced linguistic properties across multiple languages and modalities (e.g., integrating visual or audio information), often leveraging transformer-based architectures like BERT and exploring techniques such as parameter-efficient fine-tuning and multi-granularity processing. These advancements are significant because they enhance the performance and efficiency of numerous applications, including machine translation, image captioning, and time series analysis, while also providing valuable insights into how language is processed and represented.