25 citations · 38 across the 4 of their papers we have counts for
8 papers
Demonstration of a Neural Machine Translation System with Online Learning for Translators
Miguel Domingo, Mercedes García-Martínez, Amando Estela +5
We introduce a demonstration of our system, which implements online learning for neural machine translation in a production environment. These techniques allow the system to contin…
Incremental Adaptation of NMT for Professional Post-editors: A User Study
Miguel Domingo, Mercedes García-Martínez, Álvaro Peris +5
A common use of machine translation in the industry is providing initial translation hypotheses, which are later supervised and post-edited by a human expert. During this revision…
Interactive-predictive neural multimodal systems
Álvaro Peris, Francisco Casacuberta
Despite the advances achieved by neural models in sequence to sequence learning, exploited in a variety of tasks, they still make errors. In many use cases, these are corrected by…
A Neural, Interactive-predictive System for Multimodal Sequence to Sequence Tasks
Álvaro Peris, Francisco Casacuberta
We present a demonstration of a neural interactive-predictive system for tackling multimodal sequence to sequence tasks. The system generates text predictions to different sequence…
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning
Álvaro Peris, Francisco Casacuberta
We present NMT-Keras, a flexible toolkit for training deep learning models, which puts a particular emphasis on the development of advanced applications of neural machine translati…
Active Learning for Interactive Neural Machine Translation of Data Streams
Álvaro Peris, Francisco Casacuberta
We study the application of active learning techniques to the translation of unbounded data streams via interactive neural machine translation. The main idea is to select, from an…