Polish Language

Research on the Polish language is actively advancing natural language processing (NLP) capabilities, focusing on developing and evaluating models for tasks such as machine translation, question answering, and sentiment analysis. Current efforts leverage transformer-based architectures like BERT and T5, along with techniques like transfer learning and few-shot learning, to overcome challenges posed by the language's morphology and limited available resources. These advancements contribute to a broader understanding of NLP for morphologically rich languages and have practical implications for applications like improved speech recognition, information retrieval, and cross-lingual communication.