Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Tagalog
Size:
10K - 100K
ArXiv:
Tags:
parsing
DOI:
Update README.md
Browse files
README.md
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@@ -92,4 +92,28 @@ Aside from the named persons in the previous section, the following also contrib
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- Andre Magpantay
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The annotation project was made possible by the Deutsche Forschungsgemeinschaft (DFG)-funded project titled "Information distribution and language structure - correlation of grammatical expressions of the noun/verb distinction and lexical information content in Tagalog, Indonesian and German."
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The DFG project team is composed of Dr. Nikolaus Himmelmann and Maria Bardají Farré from the University of Cologne, and Dr. Gerhard Heyer, Dr. Michael Richter, and Tariq Yousef from the Leipzig University.
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- Andre Magpantay
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The annotation project was made possible by the Deutsche Forschungsgemeinschaft (DFG)-funded project titled "Information distribution and language structure - correlation of grammatical expressions of the noun/verb distinction and lexical information content in Tagalog, Indonesian and German."
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The DFG project team is composed of Dr. Nikolaus Himmelmann and Maria Bardají Farré from the University of Cologne, and Dr. Gerhard Heyer, Dr. Michael Richter, and Tariq Yousef from the Leipzig University.
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## Citation
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```
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@inproceedings{aquino-etal-2025-ud,
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title = "The {UD}-{N}ews{C}rawl Treebank: Reflections and Challenges from a Large-scale {T}agalog Syntactic Annotation Project",
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author = "Aquino, Angelina Aspra and
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Miranda, Lester James Validad and
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Or, Elsie Marie T.",
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editor = "Che, Wanxiang and
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Nabende, Joyce and
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Shutova, Ekaterina and
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Pilehvar, Mohammad Taher",
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booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
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month = jul,
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year = "2025",
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address = "Vienna, Austria",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2025.acl-long.357/",
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pages = "7219--7239",
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ISBN = "979-8-89176-251-0",
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abstract = "This paper presents UD-NewsCrawl, the largest Tagalog treebank to date, containing 15.6k trees manually annotated according tothe 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."
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}
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```
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