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LatinISE test data for SemEval 2020 task 1

McGillivray, Barbara; Schlechtweg, Dominik; Dubossarsky, Haim; Tahmasebi, Nina; Hengchen, Simon


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    "description": "<p>This data collection contains the Latin test data for <a href=\"https://competitions.codalab.org/competitions/20948\">SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection</a>:&nbsp;</p>\n\n<ul>\n\t<li>a Latin text corpus pair (`corpus1/lemma`, `corpus2/lemma`)</li>\n\t<li>40 lemmas which have been annotated for their lexical semantic change between the two corpora (`targets.txt`)</li>\n\t<li>the annotated binary change scores of the targets for subtask 1, and their annotated graded change scores for subtask 2 (`truth/`)</li>\n</ul>\n\n<p>The corpus data have been automatically lemmatized and part-of-speech tagged, and have been partially corrected by hand. For homonyms, the lemmas are followed by the &#39;\\#&#39; symbol and the number of the homonym according to the Lewis-Short dictionary of Latin when this number is greater than 1. For example, the lemma &#39;dico&#39; corresponds to the first homonym in the Lewis-Short dictionary and &#39;dico\\#2&#39; corresponds to the second homonym, cf. Lewis-Short dictionary.</p>\n\n<p>__Corpus 1__</p>\n\n<ul>\n\t<li>based on: <a href=\"http://hdl.handle.net/11372/LRT-3170\">LatinISE</a>&nbsp;(McGillivray and Kilgarriff 2013), <a href=\"https://app.sketchengine.eu/#dashboard?corpname=preloaded/latinise_4\">version on Sketch Engine</a></li>\n\t<li>language: Latin</li>\n\t<li>time covered: from the beginning of the second century before Christ (BC) to the end of the first century BC</li>\n\t<li>size: ~1.7 million tokens</li>\n\t<li>format: lemmatized, sentence length &gt;= 2, no punctuation, sentences randomly shuffled</li>\n\t<li>encoding: UTF-8</li>\n</ul>\n\n<p>__Corpus 2__</p>\n\n<ul>\n\t<li>based on: <a href=\"http://hdl.handle.net/11372/LRT-3170\">LatinISE</a>&nbsp;(McGillivray and Kilgarriff 2013) , <a href=\"https://app.sketchengine.eu/#dashboard?corpname=preloaded/latinise_4\">version on Sketch Engine</a></li>\n\t<li>language: Latin</li>\n\t<li>time covered: from the beginning of the first century after Christ (AD) to the end of the twenty-first century AD</li>\n\t<li>size: ~9.4 million tokens</li>\n\t<li>format: lemmatized, sentence length &gt;= 2, no punctuation, sentences randomly shuffled</li>\n\t<li>encoding: UTF-8</li>\n</ul>\n\n<p>Find more information on the data in the papers referenced below.</p>\n\n<p><strong>References</strong></p>\n\n<p>Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky and Nina Tahmasebi <a href=\"https://competitions.codalab.org/competitions/20948\">SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection</a>. To appear in SemEval@COLING2020.</p>\n\n<p>McGillivray, B. and Kilgarriff, A. (2013). <a href=\"https://www.sketchengine.co.uk/wp-content/uploads/2015/05/Latin_historical_corpus_2013.pdf\">Tools for historical corpus research, and a corpus of Latin</a>. In Paul Bennett, Martin Durrell, Silke Scheible, Richard J. Whitt (eds.), New Methods in Historical Corpus Linguistics, T&uuml;bingen: Narr.<br>\n&nbsp;</p>"
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