Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Tagalog
Size:
10K - 100K
Tags:
parsing
DOI:
ljvmiranda921
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# UD_Tagalog-NewsCrawl
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Data included in the Leipzig Tagalog Corpus were crawled from Tagalog-language online news sites.
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## Introduction
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The
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The text data was automatically parsed and annotated by [Angelina Aquino](https://researchers.cdu.edu.au/en/persons/angelina-aquino) (University of the Philippines), and then manually corrected according the UD guidelines adapted for Tagalog by [Elsie Marie Or](https://www.researchgate.net/profile/Elsie-Or) (University of the Philippines), Maria Bardají Farré (University of Cologne), and Dr. Nikolaus Himmelmann (University of Cologne).
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Further verification and automated corrections were done by [Lester James Miranda](https://ljvmiranda921.github.io).
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Due to the source of the data, several typos, grammatical errors, incomplete sentences, and Tagalog-English code-mixing can be found in the dataset.
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## Treebank structure
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- Train: 12495 sents, 286891 tokens
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# UD_Tagalog-NewsCrawl
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**Paper**: Coming soon!
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The Tagalog Universal Dependencies NewsCrawl dataset consists of annotated text extracted from the Leipzig Tagalog Corpus.
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Data included in the Leipzig Tagalog Corpus were crawled from Tagalog-language online news sites by the Leipzig University Institute for Computer Science.
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The text data was automatically parsed and annotated by [Angelina Aquino](https://researchers.cdu.edu.au/en/persons/angelina-aquino) (University of the Philippines), and then manually corrected according the UD guidelines adapted for Tagalog by [Elsie Marie Or](https://www.researchgate.net/profile/Elsie-Or) (University of the Philippines), Maria Bardají Farré (University of Cologne), and Dr. Nikolaus Himmelmann (University of Cologne).
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Further verification and automated corrections were done by [Lester James Miranda](https://ljvmiranda921.github.io).
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Due to the source of the data, several typos, grammatical errors, incomplete sentences, and Tagalog-English code-mixing can be found in the dataset.
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## Treebank structure
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- Train: 12495 sents, 286891 tokens
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