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3 results for “POS-tagging”

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zenodo36/100

The Annotated Corpus of Classical Tibetan (ACTib), Part II - POS-tagged version, based on the BDRC digitised text collection, tagged with the Memory-Based Tagger from TiMBL

<p>This corpus is a part-of-speech tagged version of</p> <p>Wallman, Jeff, Rowinski, Zach, Ngawang Trinley, Tomlinson, Chris, &amp; Keutzer, Kurt. (2017). Collection of Tibetan etexts compiled by the Buddhist Digital Resource Center [Data set]. Zenodo. http://doi.org/10.5281/zenodo.821218</p> <p>using the training data of</p> <p>Hill, Nathan W., &amp; Garrett, Edward. (2017). A part-of-speech (POS) tagged corpus of Classical Tibetan [Data set]. Zenodo. http://doi.org/10.5281/zenodo.574878</p> <p>Please note that the files are not post-processed or manually corrected and that a small number of files in the KarmaDelek directory were still annotated, although the original xml-input was corrupted already.</p> <p>&nbsp;</p> <p>using the memory based tagger of</p> <p>https://languagemachines.github.io/mbt/</p>

opencc-by-4.0Jul 2017View details →
zenodo28/100

The Annotated Corpus of Classical Tibetan (ACTib) - Version 2.0 (Segmented & POS-tagged)

<p>This corpus consisting of &gt;185 million tokens is a segmented and part-of-speech tagged version of</p> <p>Wallman, Jeff, Rowinski, Zach, Ngawang Trinley, Tomlinson, Chris, &amp; Keutzer, Kurt. (2017). Collection of Tibetan etexts compiled by the Buddhist Digital Resource Center [Data set]. Zenodo. http://doi.org/10.5281/zenodo.821218</p> <p>using the training data of</p> <p>Hill, Nathan W., &amp; Garrett, Edward. (2017). A part-of-speech (POS) tagged corpus of Classical Tibetan [Data set]. Zenodo. http://doi.org/10.5281/zenodo.574878</p> <p>The code for segmenting and POS tagging any Tibetan file can be found on GitHub.</p> <p>This Version 2 of ACTib is based on the same XML files as ACTib Version 1 (http://doi.org/10.5281/zenodo.823707), but contains both segmented and POS-tagged files and is improved in a number of ways, although post-processing was still done automatically and no manual correction was involved. For details of this improved annotation method see:</p> <p>Meelen, Marieke, Roux, &Eacute;lie &amp; Hill, Nathan (forthcoming). &#39;Optimisation of the largest annotated Tibetan corpus combining rule-based, memory-based &amp; deep-learning methods&#39; in <em>TALLIP.</em></p>

opencc-by-4.0May 2020View details →
zenodo24/100

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

<p>* Introduction</p> <p>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.</p> <p>Please refer to<br> http://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/index.html<br> for an introduction of the ALT project.</p> <p>Khmer ALT has been developed by NICT and NIPTICT. The license of Khmer ALT is</p> <p>Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License<br> https://creativecommons.org/licenses/by-nc-sa/4.0/</p> <p><br> * Contents</p> <p>- data_km.km-[tok|tag].nova : tokenized/POS-tagged Khmer sentences by the nova annotation system<br> &nbsp;&nbsp; &nbsp;# based on the following two guildelines<br> &nbsp;&nbsp; &nbsp;# http://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/Khmer-annotation-guideline.pdf<br> &nbsp;&nbsp; &nbsp;# http://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/Khmer-annotation-guideline-supplementary.pdf</p> <p><br> * Disclaimer</p> <p>[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.</p> <p>[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.</p> <p>[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.</p>

opencc-by-4.0Jul 2020View details →

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