This paper presents the results of the WMT11 shared tasks, which included a translation
task, a system combination task, and a task for machine translation evaluation metrics. We …

Translation quality estimation is a task of growing importance in NLP, due to its potential to
reduce post-editing human effort in disruptive ways. However, this potential is currently …

Machine translation quality estimation (QE) predicts human judgements of a translation
hypothesis without seeing the reference. State-of-the-art QE systems based on pretrained …

The present invention provides a method that includes receiving a result word set in a target
language representing a translation of a test word set in a source language. When the result …

We describe a systematic analysis on the effectiveness of features commonly exploited for
the problem of predicting machine translation quality. Using a feature selection technique …

We introduce XMEANT—a new cross-lingual version of the semantic frame based MT
evaluation metric MEANT—which can correlate even more closely with human adequacy …

Recent studies in machine translation support the fact that multi-model systems perform
better than the individual models. In this paper, we describe a Hindi to English statistical …

US PATENT D ()(" UMENTS 7.191. 447 B1 3/2007 Ellis et al. 7.207, 005 B2 4/2007 I aktritz
5,644,775 A 7/1997 Thompson et al. 7.209. 875 B2 4 2007 Quirk 5,675,802 A 10/1997 Allen …

We perform a systematic analysis of the effectiveness of features for the problem of
predicting the quality of machine translation (MT) at the sentence level. Starting from a …

Systems and methods for dynamically delivering web con tent are provided herein. A
method may include determining behavior analytics of an end user and device related infor …