{"slug": "beyond-post-editing-a-project-based-module-on-mt-and-llm-integration-for-trainee", "title": "Beyond post-editing: A project-based module on MT and LLM integration for trainee translators", "summary": "Alina Karakanta presented a project-based translation technology module for MA Translation students that integrates large language models as translation engines, prompting and domain adaptation tools, and explainable quality estimation signals, according to a paper published in the Proceedings of the 1st International Workshop on Teaching AI-Based Translation and Technologies (TAITT 2026), pages 52–62. Data collected across three years of the module show a gradual shift in students' engine selection and customisation preferences toward LLM-based tools, while traditional engines and built-in options remain a firm presence in their practices. The syllabus covers end-to-end technology assessment, from engine selection and domain adaptation to automatic and human evaluation, post-editing, and reporting results, applied in a simulated client scenario.", "body_md": "##### Abstract\n\nWith the rapid technologisation of translation, skills beyond post-editing (PE), such as data literacy, technology evaluation, and critical engagement with AI-based tools are becoming essential competencies for trainee translators. This paper presents a syllabus for a translation technology module that equips MA Translation students with end-to-end technology assessment skills, from engine selection and domain adaptation to automatic and human evaluation, post-editing, and reporting results. Large language models are integrated throughout, as translation engines, as a basis for prompting and domain adaptation strategies, and as a source of explainable quality estimation signals. Students apply these skills in a simulated client scenario as project-based learning. Trends on students’ engine selection and customisation preferences observed across three years suggest a gradual shift towards LLM-based tools, but traditional engines and built-in options remain a firm presence in their practices.\n- Anthology ID:\n- 2026.taitt-1.7\n- Volume:\n- [Proceedings of the 1st International Workshop on Teaching AI-Based Translation and Technologies (TAITT 2026)](https://aclanthology.org/volumes/2026.taitt-1/)\n- Month:\n- June\n- Year:\n- 2026\n- Address:\n- Tilburg, the Netherlands\n- Editors:\n- [Ralph Krüger](https://aclanthology.org/people/ralph-kruger/unverified/) ,[Dorothy Kenny](https://aclanthology.org/people/dorothy-kenny/unverified/) ,[Sheila Castilho](https://aclanthology.org/people/sheila-castilho/unverified/) ,[Sergi Álvarez-Vidal](https://aclanthology.org/people/sergi-alvarez-vidal/) ,[Nora Aranberri](https://aclanthology.org/people/nora-aranberri/unverified/) ,[María Isabel Rivas Ginel](https://aclanthology.org/people/maria-isabel-rivas-ginel/unverified/) ,[Janiça Hackenbuchner](https://aclanthology.org/people/janica-hackenbuchner/)\n- Venues:\n- [TAITT](https://aclanthology.org/venues/taitt/) |[WS](https://aclanthology.org/venues/ws/)\n- SIG:\n- Publisher:\n- European Association for Machine Translation\n- Note:\n- Pages:\n- 52–62\n- Language:\n- URL:\n- [https://aclanthology.org/2026.taitt-1.7/](https://aclanthology.org/2026.taitt-1.7/)\n- DOI:\n- Cite (ACL):\n- Alina Karakanta. 2026. [Beyond post-editing: A project-based module on MT and LLM integration for trainee translators](https://aclanthology.org/2026.taitt-1.7/) . In*Proceedings of the 1st International Workshop on Teaching AI-Based Translation and Technologies (TAITT 2026)* , pages 52–62, Tilburg, the Netherlands. European Association for Machine Translation.\n- Cite (Informal):\n- [Beyond post-editing: A project-based module on MT and LLM integration for trainee translators](https://aclanthology.org/2026.taitt-1.7/) (Karakanta, TAITT 2026)\n- PDF:\n- [https://aclanthology.org/2026.taitt-1.7.pdf](https://aclanthology.org/2026.taitt-1.7.pdf)", "url": "https://wpnews.pro/news/beyond-post-editing-a-project-based-module-on-mt-and-llm-integration-for-trainee", "canonical_source": "https://aclanthology.org/2026.taitt-1.7/", "published_at": "2026-09-17 00:00:00+00:00", "updated_at": "2026-09-22 17:54:28.383984+00:00", "lang": "en", "topics": ["machine-learning", "large-language-models", "natural-language-processing", "ai-tools"], "entities": ["Alina Karakanta", "TAITT 2026", "European Association for Machine Translation", "Tilburg, the Netherlands", "MA Translation"], "alternates": {"html": "https://wpnews.pro/news/beyond-post-editing-a-project-based-module-on-mt-and-llm-integration-for-trainee", "markdown": "https://wpnews.pro/news/beyond-post-editing-a-project-based-module-on-mt-and-llm-integration-for-trainee.md", "text": "https://wpnews.pro/news/beyond-post-editing-a-project-based-module-on-mt-and-llm-integration-for-trainee.txt", "jsonld": "https://wpnews.pro/news/beyond-post-editing-a-project-based-module-on-mt-and-llm-integration-for-trainee.jsonld"}}