CUNI x-ling: Parsing under-resourced languages in CoNLL 2018 UD Shared Task

9Citations
Citations of this article
64Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This is a system description paper for the CUNI x-ling submission to the CoNLL 2018 UD Shared Task. We focused on parsing under-resourced languages, with no or little training data available. We employed a wide range of approaches, including simple word-based treebank translation, combination of delexicalized parsers, and exploitation of available morphological dictionaries, with a dedicated setup tailored to each of the languages. In the official evaluation, our submission was identified as the clear winner of the Low-resource languages category.

Cite

CITATION STYLE

APA

Rosa, R., & Mareček, D. (2018). CUNI x-ling: Parsing under-resourced languages in CoNLL 2018 UD Shared Task. In CoNLL 2018 - SIGNLL Conference on Computational Natural Language Learning, Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies (pp. 187–196). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/K18-2019

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free