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20242026
most citedSegment-Based Interactive Machine Translation for Pre-trained Models

1 citations · 1 across the 5 of their papers we have counts for

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cs.CL2026

Comparative Evaluation of Machine Translation Systems on Images with Text

Blai Puchol, Sergio Gómez González, Miguel Domingo +1

This work presents a comparative evaluation of machine translation systems applied to images containing textual information, a task that lies at the intersection of computer vision…

cs.CL2026

DEEP: Docker-based Execution and Evaluation Platform

Sergio Gómez González, Miguel Domingo, Francisco Casacuberta

Comparative evaluation of several systems is a recurrent task in researching. It is a key step before deciding which system to use for our work, or, once our research has been cond…

cs.CL2025

Efficient Continual Learning in Neural Machine Translation: A Low-Rank Adaptation Approach

Salvador Carrión, Francisco Casacuberta

Continual learning in Neural Machine Translation (NMT) faces the dual challenges of catastrophic forgetting and the high computational cost of retraining. This study establishes Lo…

cs.CL2025

Two Spelling Normalization Approaches Based on Large Language Models

Miguel Domingo, Francisco Casacuberta

The absence of standardized spelling conventions and the organic evolution of human language present an inherent linguistic challenge within historical documents, a longstanding co…

cs.CL2024★ 1 cited

Segment-Based Interactive Machine Translation for Pre-trained Models

Angel Navarro, Francisco Casacuberta

Pre-trained large language models (LLM) are starting to be widely used in many applications. In this work, we explore the use of these models in interactive machine translation (IM…