Papers by Francisco Casacuberta
In-Image Machine Translation. A Preliminary Modular Approach (2026.eacl-srw)
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| Challenge: | In-image machine translation is a sub-task of Image-Based Machine Translation that aims to substitute text embedded in images with its translation into another language. |
| Approach: | They propose a simple task that renders parallel text over a plain background and a pipeline that obtains the transcript of the original image, translates it, and generates a new image similar to the original one. |
| Outcome: | The proposed approach outperforms existing models including an end-to-end approach and is competitive with other similar approaches. |
Demonstration of a Neural Machine Translation System with Online Learning for Translators (P19-3)
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Miguel Domingo, Mercedes García-Martínez, Amando Estela Pastor, Laurent Bié, Alexander Helle, Álvaro Peris, Francisco Casacuberta, Manuel Herranz Pérez
| Challenge: | a new method of "humanizing" automatic translations has been developed for the translation industry . a demonstration of an online learning system for machine translation in a production environment . |
| Approach: | They present a system which implements online learning for neural machine translation in a production environment. |
| Outcome: | The proposed system saves post-editing effort and adapts to a specific domain or user style. |
A Neural, Interactive-predictive System for Multimodal Sequence to Sequence Tasks (P19-3)
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| Challenge: | a neural interactive-predictive system is used to tackle multimodal sequence to sequence tasks . it generates text predictions to different sequence to sequencing tasks, including machine translation, image and video captioning. |
| Approach: | They present a neural interactive-predictive system for tackling multimodal sequence to sequence tasks. |
| Outcome: | The proposed system reduces human effort during the correction process by providing alternative hypotheses. |