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eng-lemmatization-stanza

Citation Information

Språkbanken Text (2022). eng-lemmatization-stanza (updated: 2022-08-10). [Analysis]. Språkbanken Text.
Lemmatization 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 line under export.annotations in the Sparv corpus configuration file:

- <token>:stanza.baseform  # Baseform from Stanza

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

Example output:

<token baseform="this">This</token>
<token baseform="be">is</token>
<token baseform="a">a</token>
<token baseform="corpus">corpus</token>
<token baseform="contain">containing</token>
<token baseform="some">some</token>
<token baseform="word">words</token>
<token baseform=".">.</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

lemmatization

Unit

token

Tool

Stanza

Model

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

Keyword

  • stanza

Created

2022-08-10

Updated

2022-08-10

Contact

Språkbanken Text
sb-info@svenska.gu.se