Morphological Dictionary

Morphological dictionaries, which detail the structure and forms of words, are crucial for natural language processing and linguistic research. Current research focuses on automatically constructing and evaluating these dictionaries, often using subword tokenization algorithms (like BPE, Wordpiece, and Unigram) within larger language models or leveraging neural networks to improve efficiency and accuracy in tasks like word segmentation and morphological inflection. This work is significant for advancing language technology, particularly for low-resource languages, and for improving the analysis of complex morphological phenomena in various domains, including medical image analysis and spatial omics.