UzUDT: Uzbek Universal Dependencies Treebank

In this paper, we present a new Universal Dependencies treebank for Uzbek language(UzUDT) developed as a gold-standard resource with full manual annotation.The treebank includes 684 sentences (7,582 tokens) from Uzbek literary texts, and is larger and more domain-diverse than the existing Uzbek UD treebank.The corpus was developed through rigorous multi-annotator adjudication, achieving very high inter-annotator agreement (multirater agreement coefficients > 0.90) across lemmatization, POS tagging, and morphological features.Alongside comprehensive corpus profiling, we establish robust computational baselines by evaluating graph-based (Stanza) and transition-based (spaCy) parsing architectures using both static and monolingual contextual embeddings.Our evaluations reveal a critical architectural trade-off for low-resource agglutinative parsing: joint transition-based models excel at morphosyntactic tagging, whereas graph-based models remain strictly superior for resolving complex structural dependencies.Furthermore, we demonstrate that cross-treebank data augmentation yields substantial, synergistic accuracy gains, achieving a peak Universal Part-of-Speech (UPOS) tagging accuracy of 89.18%, a Labeled Attachment Score (LAS) of 63.81%, and a morphological feature accuracy of 71.09%.The resource provides much-needed high-quality treebank for Uzbek to assist in developing better NLP tools and to enable linguistic research in the low-resource language.

Hali tarjima qilinmagan