The DOI matches its OpenAlex record.
Universal Dependencies v1: A Multilingual Treebank Collection
Open accessAbstract
Cross-linguistically consistent annotation is necessary for sound comparative evaluation and cross-lingual learning experiments.It is also useful for multilingual system development and comparative linguistic studies.Universal Dependencies is an open community effort to create cross-linguistically consistent treebank annotation for many languages within a dependency-based lexicalist framework.In this paper, we describe v1 of the universal guidelines, the underlying design principles, and the currently available treebanks for 33 languages.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
How Multilingual is Multilingual BERT?
Pires, T., Schlinger, E., & Garrette, D. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/p19-1493 · Cited by 1,351
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Zhang, Y., Qi, P., & Manning, C. D. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d18-1244 · Cited by 847
Self-citationLi, K., Rollins, J., & Yan, E. (2018) · Scientometrics · doi:10.1007/s11192-017-2622-5 · Cited by 732
Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe
Straka, M., & Straková, J. (2017) · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies · doi:10.18653/v1/k17-3009 · Cited by 567
Colorless Green Recurrent Networks Dream Hierarchically
Gulordava, K., Bojanowski, P., Grave, E., Linzen, T., & Baroni, M. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · doi:10.18653/v1/n18-1108 · Cited by 465
Metadata
- Authors
- Nivre, J., de Marneffe, M.-C., Ginter, F., Goldberg, Y., Hajič, J., Manning, C. D., McDonald, R., Petrov, S., Pyysalo, S., Silveira, N., Tsarfaty, R., & Zeman, D.
- Venue
- Language Resources and Evaluation Conference (LREC)
- Published
- 2016-05-01
- Pages
- 1659-1666
- OpenAlex
- W2579343286
- Cited by
- 1,028
- References
- 0
- FWCI
- 96.02
- Type
- conference paper
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Universal Dependencies v1: A Multilingual Treebank Collection. https://app.cochat.ai/papers/10.63317/2hnj7od8afy8
- The paper
- Nivre, J., de Marneffe, M.-C., Ginter, F., Goldberg, Y., Hajič, J., Manning, C. D., McDonald, R., Petrov, S., Pyysalo, S., Silveira, N., Tsarfaty, R., & Zeman, D. (2016). Universal Dependencies v1: A Multilingual Treebank Collection. Language Resources and Evaluation Conference (LREC). https://doi.org/10.63317/2hnj7od8afy8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.