@inproceedings{liyanapathirana-etal-2026-copeco,
    title = "{COPECO}-Speech: Multimodal Post-Editing with Speech and {LLM}s for Translation Teaching",
    author = "Liyanapathirana, Jeevanthi  and
      Bouillon, Pierrette  and
      Mutal, Jonathan  and
      Girletti, Sabrina  and
      Volkart, Lise",
    editor = {Kr{\"u}ger, Ralph  and
      Kenny, Dorothy  and
      Castilho, Sheila  and
      {\'A}lvarez-Vidal, Sergi  and
      Aranberri, Nora  and
      Ginel, Mar{\'i}a Isabel Rivas  and
      Hackenbuchner, Jani{\c{c}}a},
    booktitle = "Proceedings of the 1st International Workshop on Teaching {AI}-Based Translation and Technologies ({TAITT} 2026)",
    month = jun,
    year = "2026",
    address = "Tilburg, the Netherlands",
    publisher = "European Association for Machine Translation",
    url = "https://aclanthology.org/2026.taitt-1.6/",
    pages = "49--51",
    abstract = "In this demo, we present COPECO-Speech, a multimodal post-editing workbench designed for translator training with AI-based translation technologies. It extends an existing pedagogical post-editing platform (COPECO) by integrating speech input and Large Language Model (LLM)-assisted editing. The workbench has different post-editing modalities and helps teachers annotate student tasks using either a shared or personalized annotation scheme. The system logs all interactions{---}including keystrokes, speech input, editing actions and LLM operations{---}enabling detailed analysis of post-editing processes."
}
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            <start>49</start>
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%0 Conference Proceedings
%T COPECO-Speech: Multimodal Post-Editing with Speech and LLMs for Translation Teaching
%A Liyanapathirana, Jeevanthi
%A Bouillon, Pierrette
%A Mutal, Jonathan
%A Girletti, Sabrina
%A Volkart, Lise
%Y Krüger, Ralph
%Y Kenny, Dorothy
%Y Castilho, Sheila
%Y Álvarez-Vidal, Sergi
%Y Aranberri, Nora
%Y Ginel, María Isabel Rivas
%Y Hackenbuchner, Janiça
%S Proceedings of the 1st International Workshop on Teaching AI-Based Translation and Technologies (TAITT 2026)
%D 2026
%8 June
%I European Association for Machine Translation
%C Tilburg, the Netherlands
%F liyanapathirana-etal-2026-copeco
%X In this demo, we present COPECO-Speech, a multimodal post-editing workbench designed for translator training with AI-based translation technologies. It extends an existing pedagogical post-editing platform (COPECO) by integrating speech input and Large Language Model (LLM)-assisted editing. The workbench has different post-editing modalities and helps teachers annotate student tasks using either a shared or personalized annotation scheme. The system logs all interactions—including keystrokes, speech input, editing actions and LLM operations—enabling detailed analysis of post-editing processes.
%U https://aclanthology.org/2026.taitt-1.6/
%P 49-51
Markdown (Informal)

[COPECO-Speech: Multimodal Post-Editing with Speech and LLMs for Translation Teaching](https://aclanthology.org/2026.taitt-1.6/) (Liyanapathirana et al., TAITT 2026)

ACL