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CLARIN Café on Computer-assisted Pragmatic Annotation of native and learner Corpora

12.3.2024 14.0016.00

CLARIN Café on Computer-assisted Pragmatic Annotation of native and learner Corpora

General information

This CLARIN Café is organised by Nicola Brocca, Joseph Wang-Kathrein, Eva Maria Hirzinger-Unterrainer (Universität Innsbruck),  Elena Nuzzo and Diego Cortés Velásquez (Università Roma Tre) in collaboration with the Austrian Academy of Sciences. The café will be hosted by Francesca Frontini.
  • Date: 12/03/2024
  • Time: 14:00 – 16:00 (CEST)
  • Venue: CLARIN virtual Zoom meeting
  • Twitter hashtag: #CLARINcafe
A full overview of planned CLARIN Café sessions can be found on the CLARIN Café page.

About

The corpora DisDir and Ladder consist of elicited speech-acts of cancellation and request in Italian L1 and L2, German, and Colombian Spanish. They have been collected and partially manually annotated for pragmatic research in transcultural pragmatics and second language education. Based on the aforementioned data, the project LadderWeb aims to:

  1. Train a machine-learning based software programmed for the automatic annotation of pragmatic categories in requests and cancellation in Italian L1 and L2 and the other aforementioned languages.
  2. Annotate part of the corpus with AI support and archive all the elicited data in the ARCHE CLARIN repository.
  3. Make the corpus accessible and queryable for learners and practitioners through a web interface.

Unlike previous attempts at pragmatic annotation, the LadderWeb project is based on elicited data that constrain speech acts, control extratextual contexts and allow the detection of implicit information. This makes it possible to circumvent the traditional problems associated with pragmatic annotation and distinguishes the project as a pioneering achievement in the annotation of native and learner corpora.

This presentation will highlight the steps accomplished to collect and (automatically) annotate the corpus as well as develop the code for the automatic annotation. It will also include a demo and best practice recommendations for educators using the web interface.

Hae Kielipankki-portaalista:
Tanja Säily
Kuukauden tutkija: Tanja Säily

 

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