Morphological Tagging

Morphological tagging, a crucial task in natural language processing, aims to assign grammatical features (like part-of-speech and tense) to words in text. Current research emphasizes improving accuracy and robustness across diverse languages, particularly low-resource and morphologically rich languages, using advanced architectures like hierarchical transformers and BERT-based models, as well as joint modeling approaches that integrate tagging with related tasks like lemmatization. These advancements are vital for improving various downstream NLP applications, such as syntactic parsing and machine translation, and for facilitating linguistic research across a wider range of languages.