LatinISE test data for SemEval 2020 task 1 with additional token versions of the corpora

This data collection contains the Latin test data for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection: a Latin text corpus pair (`corpus1/lemma`, `corpus2/lemma`) 40 lemmas which have been annotated for their lexical semantic change between the two corpora (`targets.txt`) the annotated binary change scores of the targets for subtask 1, and their annotated graded change scores for subtask 2 (`truth/`) 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 '\#' 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 'dico' corresponds to the first homonym in the Lewis-Short dictionary and 'dico\#2' corresponds to the second homonym, cf. Lewis-Short dictionary. __Corpus 1__ based on: LatinISE (McGillivray and Kilgarriff 2013), version on Sketch Engine language: Latin time covered: from the beginning of the second century before Christ (BC) to the end of the first century BC size: ~1.7 million tokens format: lemmatized, sentence length &gt;= 2, no punctuation, sentences randomly shuffled encoding: UTF-8 __Corpus 2__ based on: LatinISE (McGillivray and Kilgarriff 2013) , version on Sketch Engine language: Latin time covered: from the beginning of the first century after Christ (AD) to the end of the twenty-first century AD size: ~9.4 million tokens format: lemmatized, sentence length &gt;= 2, no punctuation, sentences randomly shuffled encoding: UTF-8 Find more information on the data in the papers referenced below. Besides the official lemma version of the corpora for SemEval-2020 Task 1 we also provide the raw token version (<code>corpus1/token/</code>, <code>corpus2/token/</code>). It contains the raw sentences in the same order as in the lemma version. Find more information on the data and SemEval-2020 Task 1 in the paper referenced below. The creation of the data was supported by the CRETA center and the CLARIN-D grant funded by the German Ministry for Education and Research (BMBF). <strong>References</strong> Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky and Nina Tahmasebi SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection. To appear in SemEval@COLING2020. McGillivray, B. and Kilgarriff, A. (2013). Tools for historical corpus research, and a corpus of Latin. In Paul Bennett, Martin Durrell, Silke Scheible, Richard J. Whitt (eds.), New Methods in Historical Corpus Linguistics, Tübingen: Narr.<br>