This paper presents the results of the WMT14 shared tasks, which included a standard news
translation task, a separate medical translation task, a task for run-time estimation of …

Many applications within natural language processing involve performing text-to-text
transformations, ie, given a text in natural language as input, systems are required to …

This paper presents QUEST++, an open source tool for quality estimation which can predict
quality for texts at word, sentence and document level. It also provides pipelined processing …

Human rating of predicted post-editing effort is a common activity and has been used to train
confidence estimation models. However, the correlation between human ratings and actual …

We introduce Zipporah, a fast and scalable data cleaning system. We propose a novel type
of bag-of-words translation feature, and train logistic regression models to classify good data …

This work describes our submission to the WMT18 Parallel Corpus Filtering shared task. We
use a slightly modified version of the Zipporah Corpus Filtering toolkit (Xu and Koehn, 2017) …

We introduce SimpleNets: a resource-light solution to the sentence-level Quality Estimation
task of WMT16 that combines Recurrent Neural Networks, word embedding models, and the …

[EN] In this paper, we present a machine translation system implemented by the Translation
Centre for the Bodies of the European Union. The main goal of this project is to create …

Multitask learning has been proven a useful technique in a number of Natural Language
Processing applications where data is scarce and naturally diverse. Examples include …

Strukturierte Modellierung von Affekt in Text Page 1 Strukturierte Modellierung von Affekt in Text
Roman Klinger Institut für Maschinelle Sprachverarbeitung, University of Stuttgart, Germany …