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eng-msd-stanza-ufeats

Citation Information

Språkbanken Text (2022). eng-msd-stanza-ufeats (updated: 2022-08-10). [Analysis]. Språkbanken Text.
Stanza-based morphological analysis for English, using universal features (UD)

Example

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

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

- <token>:stanza.ufeats  # Universal morphological features

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 ufeats="Number=Sing|PronType=Dem">This</token>
<token ufeats="Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin">is</token>
<token ufeats="Definite=Ind|PronType=Art">a</token>
<token ufeats="Number=Sing">corpus</token>
<token>.</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

morphosyntactic tagging

Unit

token

Tool

Stanza

Model

Stanza standard model for English (https://stanfordnlp.github.io/stanza/models.html)

Tagset

UD

Keyword

  • stanza

Created

2022-08-10

Updated

2022-08-10

Contact

Språkbanken Text
sb-info@svenska.gu.se