Introducing StarDust: A UD-based Dependency Annotation Tool
Arife B. Yenice, Neslihan Cesur, Aslı Kuzgun, Olcay Taner Yıldız
Abstract
This paper aims to introduce StarDust, a new, open-source annotation tool designed for NLP studies. StarDust is designed specifically to be intuitive and simple for the annotators while also supporting the annotation of multiple languages with different morphological typologies, e.g. Turkish and English. This demonstration will mainly focus on our UD-based annotation tool for dependency syntax. Linked to a morphological analyzer, the tool can detect certain annotator mistakes and limit undesired dependency relations as well as offering annotators a quick and effective annotation process thanks to its new simple interface. Our tool can be downloaded from the Github.- Anthology ID:
- 2022.law-1.9
- Volume:
- Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Venue:
- LAW
- SIG:
- SIGANN
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 79–84
- Language:
- URL:
- https://aclanthology.org/2022.law-1.9
- DOI:
- Cite (ACL):
- Arife B. Yenice, Neslihan Cesur, Aslı Kuzgun, and Olcay Taner Yıldız. 2022. Introducing StarDust: A UD-based Dependency Annotation Tool. In Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022, pages 79–84, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Introducing StarDust: A UD-based Dependency Annotation Tool (Yenice et al., LAW 2022)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.law-1.9.pdf
- Data
- Penn Treebank, Universal Dependencies