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sbx-eng-dependency-stanza

Analysis citation Information

Språkbanken Text (2022). sbx-eng-dependency-stanza (updated: 2022-08-10). [Analysis]. Språkbanken Text. https://doi.org/10.23695/9jjj-br54
BibTeX Additional ways to cite the dataset.
Dependency parsing with Stanza's standard model for English

Example

This analysis is used with Sparv. Check out Sparv's quick start guide to get started!

To use this analysis, add the following lines under export.annotations in the Sparv corpus configuration file:

- <token>:stanza.ref  # Token IDs relative to their sentences
- <token>:stanza.dephead_ref  # Sentence-relative positions of the dependency heads
- <token>:stanza.deprel  # Dependency relations to the head

In order to use this annotation you need to add the following setting to your Sparv corpus configuration file:

metadata:
  language: eng

For more info on how to use Sparv, check out the Sparv documentation.

Example output:

<token dephead_ref="4" deprel="nsubj" ref="1">This</token>
<token dephead_ref="4" deprel="cop" ref="2">is</token>
<token dephead_ref="4" deprel="det" ref="3">a</token>
<token deprel="root" ref="4">corpus</token>
<token dephead_ref="4" deprel="acl" ref="5">containing</token>
<token dephead_ref="7" deprel="det" ref="6">some</token>
<token dephead_ref="5" deprel="obj" ref="7">words</token>
<token dephead_ref="4" deprel="punct" ref="8">.</token>

Other references

  • Stanza: Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton and Christopher D. Manning. 2020

  • Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. In Association for Computational Linguistics (ACL) System Demonstrations. 2020

Type

  • Analysis

Task

  • dependency parsing

Unit

  • token

Dependencies

External tools

Stanza
Apache License 2.0

Models

Tagset

UD

Keyword

  • stanza

Created

2022-08-10

Updated

2022-08-10

Contact

sb-info@svenska.gu.se