1 citations · 1 across the 4 of their papers we have counts for
4 papers
IberBench: LLM Evaluation on Iberian Languages
José Ángel González, Ian Borrego Obrador, Álvaro Romo Herrero +4
Large Language Models (LLMs) remain difficult to evaluate comprehensively, particularly for languages other than English, where high-quality data is often limited. Existing benchma…
Zero and Few-shot Learning for Author Profiling
Mara Chinea-Rios, Thomas Müller, Gretel Liz De la Peña Sarracén +2
Author profiling classifies author characteristics by analyzing how language is shared among people. In this work, we study that task from a low-resource viewpoint: using little or…
Neural Networks Classifier for Data Selection in Statistical Machine Translation
Álvaro Peris, Mara Chinea-Rios, Francisco Casacuberta
We address the data selection problem in statistical machine translation (SMT) as a classification task. The new data selection method is based on a neural network classifier. We p…
Unsupervised Clustering of Commercial Domains for Adaptive Machine Translation
Mauro Cettolo, Mara Chinea Rios, Roldano Cattoni
In this paper, we report on domain clustering in the ambit of an adaptive MT architecture. A standard bottom-up hierarchical clustering algorithm has been instantiated with five di…