Dependensparsning med Stanzas standardmodell för engelska
      
      Analyscitering
                  
             
          
                
        Språkbanken Text (2022).  sbx-eng-dependency-stanza (uppdaterad: 2022-08-10). [Analysis]. Språkbanken Text. https://doi.org/10.23695/9jjj-br54
         Ytterligare sätt att citera datamängden.
        Ytterligare sätt att citera datamängden.
    Exempel
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>
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