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# Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task

**Authors:** [Amit Seker](https://md.mova.elamur.ai/free/en/docs/papers/authors/amit-seker/); [Amir More](https://md.mova.elamur.ai/free/en/docs/papers/authors/amir-more/); [Reut Tsarfaty](https://md.mova.elamur.ai/free/en/docs/papers/authors/reut-tsarfaty/) · **Year:** 2018 · **Venue:** Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 208–215 **Link:** [aclanthology.org/K18-2021](https://aclanthology.org/K18-2021/) · library `ud-2018-seker-universal-morpho-syntactic-parsing-contribution` · **Licence:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) (ACL Anthology)

[**5** citations](https://openalex.org/works?filter=cites:W2899045532) openalex · 2026-10-18[**4** citations in our library](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-seker-universal-morpho-syntactic-parsing-contribution/) of the 140673 papers whose bibliographies we read[Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies](https://aclanthology.org/volumes/K18-2/)[licence](https://creativecommons.org/licenses/by/4.0/)

- [Publisher's page](https://aclanthology.org/K18-2021/)
- [PDF](https://aclanthology.org/K18-2021.pdf)
- [DOI 10.18653/v1/k18-2021](https://doi.org/10.18653/v1/k18-2021)
- [OpenAlex](https://openalex.org/W2899045532)

**Authors (3)**

1. [Amit Seker](https://openalex.org/A5049561362) h 7 · 185 citations · 13 works
2. [Amir More](https://openalex.org/A5082937155) h 5 · 118 citations · 11 works
3. [Reut Tsarfaty](https://openalex.org/A5063283689) [ORCID](https://orcid.org/0000-0001-6406-6568) · h 24 · 2886 citations · 217 works

Citations and author metrics from openalex (2026-10-18); authors with the same name are not always told apart.

## What it is about

The ONLP Lab submission used UDPipe for segmentation and morphological disambiguation, then yap's arc-eager dependency parser (a Zhang–Nivre variant with morphological-signature features). It parsed 81 UD v2 test treebanks with an average LAS of 58.35, ranked 22nd. Low-resource languages got a model from a related treebank or from English EWT. The post-task study on Modern Hebrew (dev set) is the core: UDPipe's full pipeline reached 61.95 LAS and yap's dependency parser on UDPipe output 59.19. yap's own morphology with a data-driven analyzer dropped to 52.25. Swapping in the broad-coverage HebLex analyzer restored 60.94, and forcing the gold analysis into the lattice gave 71.39. With gold morphology the parser reached 79.33. The authors conclude that most Hebrew parsing errors come from missing lexical analyses, not from the parser, and they propose the CoNLL-UL format for sharing lexica.

## Ideas

- I1. Make the lexicon the measured variable: a ladder of runs on a Hebrew dev set, each step with a single change (no lexicon, lexicon, lexicon plus forced gold path, gold morphology). The paper's numbers are the reference shape for the `tools/hbo` ladder. Run every step twice before reporting.
- I2. A CoNLL-UL-style export of the `tools/hbo` tables (`lex`, `pre`) with one row per analysis (form, lemma, UPOS, features), so that other parsers can read the same lattice and the lexicon can be shared.
- I3. For Mova's low-resource varieties (`languages/arc-x-targum/`, `languages/jpa/`), keep a small table of which trained model stands in for which variety, as the paper does with `cs pud: cs pdt`, and record every stand-in in the docs.

## For Mova

I1 is a measurement for `tools/hbo` and is recorded in [13. Biblical Hebrew in Mova: the tools](https://md.mova.elamur.ai/free/en/docs/languages/hbo/13-mova-tools/). I2 goes into `tools/hbo` and `tools/macula dict`, and the lexicon-coverage findings go into [12. Mova and Modern Hebrew: where it stands, what it would need](https://md.mova.elamur.ai/free/en/docs/languages/he/12-mova/). I3 goes into `languages/arc-x-targum/` and `languages/jpa/` as a note on the stand-in models.

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 10.18653/v1/k18-2021](https://doi.org/10.18653/v1/k18-2021)

```
@inproceedings{seker2018universal,
  title = {{Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task}},
  author = {Seker, Amit and More, Amir and Tsarfaty, Reut},
  booktitle = {Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies},
  year = {2018},
  doi = {10.18653/v1/k18-2021},
  url = {https://doi.org/10.18653/v1/k18-2021}
}
```

- [← previous The Hebrew Universal Dependency Treebank: Past, Present and Future](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-sade-hebrew-universal-dependency-treebank-past/)
- [next → A Pointer Network Architecture for Joint Morphological Segmentation and Tagging](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-seker-pointer-network-architecture-joint-morphological/)
- [↑ back to Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/he/)

## References

26 references, 7 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. ## Acknowledgements Meni Adler and Michael Elhadad. 2006. An unsupervised morpheme-based hmm for hebrew morphological disambiguation. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, Stroudsburg, PA, USA, ACL-44, pages 665–672. https://doi.org/10.3115/1220175.1220259. [↗](https://doi.org/10.3115/1220175.1220259) [our card](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2006-adler-unsupervised-morpheme-based-hmm-hebrew/)
2. We thank the CoNLL Shared Task Organizing Committee for their hard work and their timely support. We also thank the TIRA platform team (Potthast et al., 2014) for providing a system that facilitates competition and reproducible research. The research towards this shared task submission has been supported by the European Research Council, ERC-StG-2015 Grant 677352, and by an Israel Science Foundation (ISF) Grant 1739/26, for which we are grateful. [find](https://scholar.google.com/scholar?q=We+thank+the+CoNLL+Shared+Task+Organizing+Committee+for+their+hard+work+and+their+timely+support%2E+We+also+thank+the+TIRA+platform+team+%28Potthast+et+al%2E%2C+2014%29+for+providing+a+system+that+facilitates+c)
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