25 citations · 39 across the 7 of their papers we have counts for
13 papers
Findings of the Covid-19 MLIA Machine Translation Task
Francisco Casacuberta, Alexandru Ceausu, Khalid Choukri +10
This work presents the results of the machine translation (MT) task from the Covid-19 MLIA @ Eval initiative, a community effort to improve the generation of MT systems focused on…
Two Demonstrations of the Machine Translation Applications to Historical Documents
Miguel Domingo, Francisco Casacuberta
We present our demonstration of two machine translation applications to historical documents. The first task consists in generating a new version of a historical document, written…
An Interactive Machine Translation Framework for Modernizing Historical Documents
Miguel Domingo, Francisco Casacuberta
Due to the nature of human language, historical documents are hard to comprehend by contemporary people. This limits their accessibility to scholars specialized in the time period…
Modernizing Historical Documents: a User Study
Miguel Domingo, Francisco Casacuberta
Accessibility to historical documents is mostly limited to scholars. This is due to the language barrier inherent in human language and the linguistic properties of these documents…
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…