Join GitHub today
GitHub is home to over 28 million developers working together to host and review code, manage projects, and build software together.Sign up
No description, website, or topics provided.
Fetching latest commit…
Cannot retrieve the latest commit at this time.
|Failed to load latest commit information.|
# Summary The Galician UD treebank is based on the automatic parsing of the Galician Technical Corpus (http://sli.uvigo.gal/CTG) created at the University of Vigo by the the TALG NLP research group. # Introduction Original corpus sentences were selected and shuffled at random, and divided in 60-20-20 splits for the train, dev and test files, respectively. The bootstrap version of the CTG UD annotated corpus was obtained by using FreeLing 4.0 parser with the Treeler library, and by adapting the POS and dependency relations tags to CoNLL-U Format. Next versions of the corpus imply a review of the results of this initial version. The Galician UD treebank covers mainly technical texts of the fields of medicine, sociology, ecology, economy and law. # Stats (UD version 2.1) * 3993 sentences * 126011 tokens * 138837 syntactic words # Changelog * 2018-04-15 v2.2 * Repository renamed from UD_Galician to UD_Galician-CTG. * 2017-10-23 UD release 2.1: * Added multiword tokens for contractions * Corrected errors in sentence segmentation * Several manual and automatic fixes in corpus tagging and encoding * Added raw text # Acknowledgments * Special thanks to Martin Popel and Dan Zeman for their invaluable help # Reference * Gómez Guinovart, Xavier (2017): Recursos integrados da lingua galega para a investigación lingüística. Marta Negro Romero, Rosario Álvarez, Eduardo Moscoso Mato (eds.): Gallæcia. Estudos de lingüística portuguesa e galega (ISBN 978-84-16954-41-4), Universidade de Santiago de Compostela, Santiago de Compostela, pp. 1045-1056. DOI: http://dx.doi.org/10.15304/cc.2017.1080.61 <pre> === Machine-readable metadata (DO NOT REMOVE!) ================================ Data available since: UD v1.3 License: CC BY-NC-SA 3.0 Includes text: yes Genre: medical legal nonfiction news Lemmas: converted from manual UPOS: converted from manual XPOS: manual native Features: not available Relations: converted from manual Contributors: Gómez Guinovart, Xavier Contributing: elsewhere Contact: email@example.com =============================================================================== </pre>