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Research paper

Artificial Intelligence in the automatic coding of interviews on Landscape Quality Objectives. Comparison and case study

In this study, we conducted a comparative analysis of the automated coding provided by three Artificial Intelligence functionalities (At-las.ti, ChatGPT and Google Bard) in relation to the manual coding of 12 research interviews focused on Landscape Quality Objectives for a small island in the north of Cuba (Cayo Santa María). For this purpose, the following comparison criteria were established: Accuracy, Comprehensiveness, Thematic Coherence, Redundancy, Clarity, Detail and Regularity. The analysis showed the usefulness of AI for the intended purpose, albeit with numerous flaws and shortcomings. In summary, today the automatic coding of AIs

Burgui-Burgui, Mario
Creative Commons Attribution Non Commercial No Derivatives 4.0 InternationalView resource
Research paper

North Small Translate: Advanced Cost-Effective Translation (Cohere CAT+)

Research paper by Tom Kocmi and collaborators. arXiv record dated 2026-09-12. Research area: Language technology.

Tom Kocmi, Alexandre Bérard, Phil Blunsom, Samuel Cahyawijaya, Shaun Cassini, Nicholas Frosst, Ona de Gibert, Aidan Gomez, Nithya Govindarajan, Shun Kiyono, Olivia Lasche, Lawrence Rogers, Kelly Marchisio, Nikita Moghe, Yash More, Camila Moran-Hidalgo, Yiyang Nan, Michael Sachs, Trisha Starostina, Daan van Stigt, Spencer Rarrick, Sebastian Vincent, Ivan Zhang
CC BY 4.0View resource

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