February 18, 2020 Dataset Open Access

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

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    <subfield code="a">&lt;p&gt;This data collection contains the Latin test data for &lt;a href="https://competitions.codalab.org/competitions/20948"&gt;SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection&lt;/a&gt;]:&amp;nbsp;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;a Latin text corpus pair (`corpus1/lemma`, `corpus2/lemma`)&lt;/li&gt;
	&lt;li&gt;40 lemmas which have been annotated for their lexical semantic change between the two corpora (`targets.txt`)&lt;/li&gt;
	&lt;li&gt;the annotated binary change scores of the targets for subtask 1, and their annotated graded change scores for subtask 2 (`truth/`)&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;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 &amp;#39;\#&amp;#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 &amp;#39;dico&amp;#39; corresponds to the first homonym in the Lewis-Short dictionary and &amp;#39;dico\#2&amp;#39; corresponds to the second homonym, cf. Lewis-Short dictionary.&lt;/p&gt;

&lt;p&gt;__Corpus 1__&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;based on: &lt;a href="http://hdl.handle.net/11372/LRT-3170"&gt;LatinISE&lt;/a&gt;&amp;nbsp;(McGillivray and Kilgarriff 2013), &lt;a href="https://app.sketchengine.eu/#dashboard?corpname=preloaded/latinise_4"&gt;version on Sketch Engine&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;language: Latin&lt;/li&gt;
	&lt;li&gt;time covered: from the beginning of the second century before Christ (BC) to the end of the first century BC&lt;/li&gt;
	&lt;li&gt;size: ~1.7 million tokens&lt;/li&gt;
	&lt;li&gt;format: lemmatized, sentence length &amp;gt;= 2, no punctuation, sentences randomly shuffled&lt;/li&gt;
	&lt;li&gt;encoding: UTF-8&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;__Corpus 2__&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;based on: &lt;a href="http://hdl.handle.net/11372/LRT-3170"&gt;LatinISE&lt;/a&gt;&amp;nbsp;(McGillivray and Kilgarriff 2013) , &lt;a href="https://app.sketchengine.eu/#dashboard?corpname=preloaded/latinise_4"&gt;version on Sketch Engine&lt;/a&gt;&lt;/li&gt;
	&lt;li&gt;language: Latin&lt;/li&gt;
	&lt;li&gt;time covered: from the beginning of the first century after Christ (AD) to the end of the twenty-first century AD&lt;/li&gt;
	&lt;li&gt;size: ~9.4 million tokens&lt;/li&gt;
	&lt;li&gt;format: lemmatized, sentence length &amp;gt;= 2, no punctuation, sentences randomly shuffled&lt;/li&gt;
	&lt;li&gt;encoding: UTF-8&lt;/li&gt;
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&lt;p&gt;Find more information on the data in the papers referenced below.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;References&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky and Nina Tahmasebi &lt;a href="https://competitions.codalab.org/competitions/20948"&gt;SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection&lt;/a&gt;. To appear in SemEval@COLING2020.&lt;/p&gt;

&lt;p&gt;McGillivray, B. and Kilgarriff, A. (2013). &lt;a href="https://www.sketchengine.co.uk/wp-content/uploads/2015/05/Latin_historical_corpus_2013.pdf"&gt;Tools for historical corpus research, and a corpus of Latin&lt;/a&gt;. In Paul Bennett, Martin Durrell, Silke Scheible, Richard J. Whitt (eds.), New Methods in Historical Corpus Linguistics, T&amp;uuml;bingen: Narr.&lt;br&gt;
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