32.1030, Software: Releasing Python-based Dependency Parser and Models for UD
The LINGUIST List
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Sun Mar 21 23:49:14 UTC 2021
LINGUIST List: Vol-32-1030. Sun Mar 21 2021. ISSN: 1069 - 4875.
Subject: 32.1030, Software: Releasing Python-based Dependency Parser and Models for UD
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Date: Sun, 21 Mar 2021 19:48:21
From: Annemarie Friedrich [annemarie.friedrich at gmail.com]
Subject: Releasing Python-based Dependency Parser and Models for UD
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)
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