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The UD-NewsCrawl Treebank: Reflections and Challenges from a Large-scale Tagalog Syntactic Annotation Project

Published: May 26, 2025 | arXiv ID: 2505.20428v1

By: Angelina A. Aquino, Lester James V. Miranda, Elsie Marie T. Or

Potential Business Impact:

Helps computers understand the Tagalog language better.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

This paper presents UD-NewsCrawl, the largest Tagalog treebank to date, containing 15.6k trees manually annotated according to the Universal Dependencies framework. We detail our treebank development process, including data collection, pre-processing, manual annotation, and quality assurance procedures. We provide baseline evaluations using multiple transformer-based models to assess the performance of state-of-the-art dependency parsers on Tagalog. We also highlight challenges in the syntactic analysis of Tagalog given its distinctive grammatical properties, and discuss its implications for the annotation of this treebank. We anticipate that UD-NewsCrawl and our baseline model implementations will serve as valuable resources for advancing computational linguistics research in underrepresented languages like Tagalog.

Country of Origin
🇦🇺 Australia

Repos / Data Links

Page Count
21 pages

Category
Computer Science:
Computation and Language