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  UD Indonesian-CSUI is a conversion from an Indonesian constituency treebank in the Penn Treebank format named Kethu that was also a conversion from a constituency treebank built by Dinakaramani et al. (2015).
 
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  This treebank is named after the place where treebanks were built: Faculty of Computer Science (CS), Universitas Indonesia (UI).
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  About this treebank:
 
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  - Genre is news in formal Indonesian (the majority is economic news)
 
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  - 1030 sentences (28K words) divided into testing and training dataset of around 10K words and around 18K words respectively.
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- - Average of 27.4 words per-sentence.
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  ## Dataset Usage
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  ## Citation
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- ```@article {10.3844/jcssp.2020.1585.1597,
 
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  author = {Alfina, Ika and Budi, Indra and Suhartanto, Heru},
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  title = {Tree Rotations for Dependency Trees: Converting the Head-Directionality of Noun Phrases},
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  article_type = {journal},
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  ## Homepage
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  ### NusaCatalogue
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  For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
 
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+ # ud_id_csui
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+
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  UD Indonesian-CSUI is a conversion from an Indonesian constituency treebank in the Penn Treebank format named Kethu that was also a conversion from a constituency treebank built by Dinakaramani et al. (2015).
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+
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  This treebank is named after the place where treebanks were built: Faculty of Computer Science (CS), Universitas Indonesia (UI).
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+
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+
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  About this treebank:
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+
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  - Genre is news in formal Indonesian (the majority is economic news)
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+
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  - 1030 sentences (28K words) divided into testing and training dataset of around 10K words and around 18K words respectively.
 
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+ - Average of 27.4 words per-sentence.
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  ## Dataset Usage
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  ## Citation
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+ ```
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+ @article {10.3844/jcssp.2020.1585.1597,
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  author = {Alfina, Ika and Budi, Indra and Suhartanto, Heru},
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  title = {Tree Rotations for Dependency Trees: Converting the Head-Directionality of Noun Phrases},
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  article_type = {journal},
 
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  ## Homepage
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+ [https://github.com/UniversalDependencies/UD_Indonesian-CSUI](https://github.com/UniversalDependencies/UD_Indonesian-CSUI)
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+
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  ### NusaCatalogue
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  For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)