LINGUIST List 32.1030
Sun Mar 21 2021
Software: Releasing Python-based Dependency Parser and Models for UD
Editor for this issue: Everett Green <everettlinguistlist.org>
Date: 18-Mar-2021
From: Annemarie Friedrich <annemarie.friedrich
gmail.com>
Subject: Releasing Python-based Dependency Parser and Models for UD
E-mail this message to a friend Dear all,
we are releasing STEPS, a graph-based parser implemented in Python for basic and enhanced Universal Dependencies. STEPS currently obtains state-of-the-art results on UD treebanks of Arabic, Chinese, Czech, English, Finnish, German, Hindi, Italian, Latvian, and Russian. (More details in our Arxiv pre-print here:
https://arxiv.org/pdf/2010.12699.pdf)
STEPS is free software released under the AGPLv3 license. The source code, as well as download instructions for pre-trained models for 12 languages, is available at
https://github.com/boschresearch/steps-parser.
We welcome feedback regarding the usability and performance of the system.
Best Regards,
Stefan Grünewald
(University of Stuttgart & Bosch Center for Artificial Intelligence)
Linguistic Field(s): Computational Linguistics
Subject Language(s):
Arabana (ard)
Page Updated: 21-Mar-2021