research data . Dataset . 2020

Tokenized and POS-Tagged Khmer Data of the Asian Language Treebank Project

DING, Chenchen; UTIYAMA, Masao; SUMITA, Eiichiro;
Open Access Khmer
  • Published: 10 Jul 2020
  • Publisher: Zenodo
Abstract
* Introduction This is the Khmer ALT of the Asian Language Treebank (ALT) Corpus. English texts sampled from English Wikinews were available under a Creative Commons Attribution 2.5 License. Please refer to http://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/index.html for an introduction of the ALT project. Khmer ALT has been developed by NICT and NIPTICT. The license of Khmer ALT is Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License https://creativecommons.org/licenses/by-nc-sa/4.0/ * Contents - data_km.km-[tok|tag].nova : tokenized/POS-tagged Khmer sentences by the nova annotation system # based on the following two guildelines # http://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/Khmer-annotation-guideline.pdf # http://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/Khmer-annotation-guideline-supplementary.pdf * Disclaimer [1] The content of the selected English Wikinews articles have been translated for this corpus. English texts sampled from English Wikinews were available under a Creative Commons Attribution 2.5 License. Users of the corpus are requested to take careful consideration when encountering any instances of defamation, discriminatory terms, or personal information that might be found within the corpus. Users of the corpus are advised to read Terms of Use in https://en.wikinews.org/wiki/Main_Page carefully to ensure proper usage. [2] NICT bears no responsibility for the contents of the corpus and the lexicon and assumes no liability for any direct or indirect damage or loss whatsoever that may be incurred as a result of using the corpus or the lexicon. [3] If any copyright infringement or other problems are found in the corpus or the lexicon, please contact us at alt-info[at]khn[dot]nict[dot]go[dot]jp. We will review the issue and undertake appropriate measures when needed.
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ZENODO
Dataset . 2020
Providers: ZENODO
4 research outcomes, page 1 of 1
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