Tokenization with Stanza's standard model for English
      
      Analysis citation
                  
             
          
                
        Språkbanken Text (2022).  sbx-eng-tokenization-stanza (updated: 2022-08-10). [Analysis]. Språkbanken Text. https://doi.org/10.23695/31v4-2a07
         Additional ways to cite the dataset.
        Additional ways to cite the dataset.
    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:
- stanza.token  # Token segments
In order to use this annotation you need to add the following settings to your Sparv corpus configuration file:
metadata:
  language: eng
classes:
  token: stanza.token
For more info on how to use Sparv, check out the Sparv documentation.
Example output:
<token>This</token>
<token>is</token>
<token>a</token>
<token>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