@inproceedings{991d823887374bd18a632d0530592b64,
title = "Palmyra 3.0: A User-Friendly Cloud-Based Platform for Morphology and Dependency Syntax Annotation",
abstract = "We present Palmyra 3.0, a cloud-based, configurable, and user-friendly platform for morphology and syntax annotation through dependency-tree visualization. Palmyra 3.0 implements a robust system that stores data on the cloud. By default, Palmyra 3.0 comes with an Arabic dependency parser that generates highly accurate trees, but it is easily configurable to support dependency parsers in other languages. Palmyra 3.0 provides default configuration files for a number of predefined formalisms, such as UD and CATiB, and a number of user-friendly features to support annotators.",
keywords = "Annotation, Arabic, Morphology, Parsing, Syntax, Treebanking, Universal Dependencies",
author = "Muhammed AbuOdeh and Long Phan and Ahmed Elshabrawy and Nizar Habash",
note = "Publisher Copyright: {\textcopyright} 2024 ELRA Language Resource Association: CC BY-NC 4.0.; Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024 ; Conference date: 20-05-2024 Through 25-05-2024",
year = "2024",
language = "English (US)",
series = "2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings",
publisher = "European Language Resources Association (ELRA)",
pages = "12585--12591",
editor = "Nicoletta Calzolari and Min-Yen Kan and Veronique Hoste and Alessandro Lenci and Sakriani Sakti and Nianwen Xue",
booktitle = "2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings",
}