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# CoNLL-X Shared Task on Multilingual Dependency Parsing

**Authors:** Sabine Buchholz, [Erwin Marsi](https://md.mova.elamur.ai/free/en/docs/papers/authors/erwin-marsi/) · **Year:** 2006 · **Venue:** Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X) **Link:** [aclanthology.org/W06-2920](https://aclanthology.org/W06-2920/) · **Licence:** [CC BY-NC-SA 3.0](https://creativecommons.org/licenses/by-nc-sa/3.0/) — summary only

[**967** citations](https://openalex.org/works?filter=cites:W2027979924) openalex · 2026-10-19[**462** citations in our library](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/parsers-2006-buchholz-conll-x-shared-task-multilingual/) of the 140673 papers whose bibliographies we read[Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)](https://aclanthology.org/volumes/W06-29/)[licence](https://creativecommons.org/licenses/by-nc-sa/3.0/)

- [Publisher's page](https://aclanthology.org/W06-2920/)
- [PDF](https://aclanthology.org/W06-2920.pdf)
- [DOI 10.3115/1596276.1596305](https://doi.org/10.3115/1596276.1596305)
- [OpenAlex](https://openalex.org/W2027979924)

**Authors (2)**

1. [Sabine Buchholz](https://openalex.org/A5004649927) [Semantic Scholar](https://www.semanticscholar.org/author/1782178) · h 18 · 1952 citations · 66 works
2. [Erwin Marsi](https://openalex.org/A5056067236) [Semantic Scholar](https://www.semanticscholar.org/author/1748039) · h 16 · 2401 citations · 98 works

Citations and author metrics from openalex (2026-10-19); authors with the same name are not always told apart.

## What it is about

The shared task asked for dependency parsers for 13 languages, trained and tested on the same data converted into one ten-column format (the parser predicts HEAD and DEPREL). The test set in each language was made to hold about 5,000 scoring tokens, and the score was labelled attachment, with punctuation tokens left out. Nineteen groups submitted parsed test data, and LAS ranged from 37.8% on Turkish to 91.7% on Japanese. The paper describes the conversion of each treebank, the evaluation and the approaches used, and draws conclusions about which languages, treebanks and annotation choices are hard for any dependency parser, including the role of morphology, data size and non-projectivity.

## Ideas

- I1. en ud-eval: check that the evaluation excludes exactly the tokens the official script excludes (FORM made only of Unicode punctuation, with a test file that includes the characters underscore and percent sign), and compare `en ud-eval` with the official script on EWT dev; the scores must match.
- I2. en ud-eval: when comparing English treebanks, cut each test set to the same number of scoring tokens (about 5,000, as in this task) so that differences in LAS are not driven by test size.
- I3. Use the per-language spread of the shared task as a stress set: report `en` LAS on the least and most morphologically rich languages only as context, and never as a claim about English.

## For Mova

The ideas touch the scorer behind `en ud-eval` and how Mova reports results across treebanks. The chapter that gives the reporting context is `languages/en/08-national-varieties`, since treebanks differ in their annotation choices. Measure first I1, a scorer check that costs nothing and makes every later LAS number comparable.

Topics: [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) · [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/)

## Cite

The paper itself, not this card. BibTeX from the library's record of the work. [DOI 10.3115/1596276.1596305](https://doi.org/10.3115/1596276.1596305)

```
@inproceedings{buchholz2006conll,
  title = {{CoNLL-X Shared Task on Multilingual Dependency Parsing}},
  author = {Buchholz, Sabine and Marsi, Erwin},
  booktitle = {Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)},
  year = {2006},
  doi = {10.3115/1596276.1596305},
  url = {https://doi.org/10.3115/1596276.1596305}
}
```

- [← previous Statistical Dependency Analysis with Support Vector Machines](https://md.mova.elamur.ai/free/en/docs/papers/parsers-2003-yamada-statistical-dependency-analysis-support-vector/)
- [next → Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues](https://md.mova.elamur.ai/free/en/docs/papers/paul-2019-towards-universal-dialogue-act-tagging/)
- [↑ back to English](https://md.mova.elamur.ai/free/en/docs/papers/en/)

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