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eng-msd-stanza-ufeats

Citering Information

Språkbanken Text (2022). eng-msd-stanza-ufeats (uppdaterad: 2022-08-10). [Analysis]. Språkbanken Text.
BibTeX
Morfologisk analys för engelska med universal features (UD) baserad på Stanza

Exempel

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>

Övriga referenser

  • 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

Typ

  • Analys

Uppgift

  • morphosyntactic tagging

Enhet

  • token

Verktyg

Stanza

Modell

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

Taggmängd

UD

Nyckelord

  • stanza

Skapad

2022-08-10

Uppdaterad

2022-08-10

Kontakt

Språkbanken Text
sb-info@svenska.gu.se