Dataset Open Access
McGillivray, Barbara; Schlechtweg, Dominik; Dubossarsky, Haim; Tahmasebi, Nina; Hengchen, Simon
This data collection contains the Latin test data for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection:
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__
__Corpus 2__
Find more information on the data in the papers referenced below.
References
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.
Name | Size | |
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semeval2020_ulscd_lat.zip
md5:e7c60d2877d8f7b00ac60f2dab4a66f0 |
28.4 MB | Download |
All versions | This version | |
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Views | 767 | 134 |
Downloads | 652 | 66 |
Data volume | 19.4 GB | 1.9 GB |
Unique views | 648 | 117 |
Unique downloads | 570 | 59 |