2 papers
cs.CL2023
AutoNMT: A Framework to Streamline the Research of Seq2Seq Models
Salvador Carrión, Francisco Casacuberta
We present AutoNMT, a framework to streamline the research of seq-to-seq models by automating the data pipeline (i.e., file management, data preprocessing, and exploratory analysis…
cs.CL2016
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…