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Found 15 papers, 5 papers with code
Europeana Translate: Providing multilingual access to digital cultural heritage
Europeana Translate is a project funded under the Connecting European Facility with the objective to take advantage of state-of-the-art machine translation in order to increase the multilinguality of resources in the cultural heritage domain
A User Study of the Incremental Learning in NMT
Adaptive neural machine translation systems, able to incrementally update the underlying models under an online learning regime, have been proven to be useful to improve the efficiency of this workflow.
The Multilingual Anonymisation Toolkit for Public Administrations (MAPA) Project
We describe the MAPA project, funded under the Connecting Europe Facility programme, whose goal is the development of an open-source de-identification toolkit for all official European Union languages.
Neural Translation for the European Union (NTEU) Project
The Neural Translation for the European Union (NTEU) project aims to build a neural engine farm with all European official language combinations for eTranslation, without the necessity to use a high-resourced language as a pivot.
Factored Neural Machine Translation Architectures
A qualitative analysis of the output on a set of test sentences shows the effectiveness of the FNMT model.
Findings of the Covid-19 MLIA Machine Translation Task
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 the current Covid-19 crisis.
Demonstration of a Neural Machine Translation System with Online Learning for Translators
We introduce a demonstration of our system, which implements online learning for neural machine translation in a production environment.
Incremental Adaptation of NMT for Professional Post-editors: A User Study
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.
Neural Machine Translation by Generating Multiple Linguistic Factors
FNMT system is designed to manage larger vocabulary and reduce the training time (for systems with equivalent target language vocabulary size).
LIUM-CVC Submissions for WMT17 Multimodal Translation Task
This paper describes the monomodal and multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT17 Shared Task on Multimodal Translation.
LIUM Machine Translation Systems for WMT17 News Translation Task
This paper describes LIUM submissions to WMT17 News Translation Task for English-German, English-Turkish, English-Czech and English-Latvian language pairs.
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
nmtpy has been used for LIUM's top-ranked submissions to WMT Multimodal Machine Translation and News Translation tasks in 2016 and 2017.
Factored Neural Machine Translation
In addition, we can produce new words that are not in the vocabulary.
Does Multimodality Help Human and Machine for Translation and Image Captioning?
This paper presents the systems developed by LIUM and CVC for the WMT16 Multimodal Machine Translation challenge.
