CoNLL 2017 Shared Task - Automatically Annotated Raw Texts and Word Embeddings

PID

Automatic segmentation, tokenization and morphological and syntactic annotations of raw texts in 45 languages, generated by UDPipe (http://ufal.mff.cuni.cz/udpipe), together with word embeddings of dimension 100 computed from lowercased texts by word2vec (https://code.google.com/archive/p/word2vec/).

For each language, automatic annotations in CoNLL-U format are provided in a separate archive. The word embeddings for all languages are distributed in one archive.

Note that the CC BY-SA-NC 4.0 license applies to the automatically generated annotations and word embeddings, not to the underlying data, which may have different license and impose additional restrictions.

Update 2018-09-03

Added data in the 4 “surprise languages” from the 2017 ST: Buryat, Kurmanji, North Sami and Upper Sorbian. This has been promised before, during CoNLL-ST 2018 we gave the participants a link to this record saying the data was here. It wasn't, sorry. But now it is.

Identifier
PID http://hdl.handle.net/11234/1-1989
Metadata Access http://lindat.mff.cuni.cz/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:lindat.mff.cuni.cz:11234/1-1989
Provenance
Creator Ginter, Filip; Hajič, Jan; Luotolahti, Juhani; Straka, Milan; Zeman, Daniel
Publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Publication Year 2017
Rights Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0); http://creativecommons.org/licenses/by-nc-sa/4.0/; PUB
OpenAccess true
Contact lindat-help(at)ufal.mff.cuni.cz
Representation
Language Multiple languages
Resource Type languageDescription
Format application/zip; application/x-tar; application/octet-stream; downloadable_files_count: 47
Discipline Linguistics