This paper presents the results of the WMT12 shared tasks, which included a translation task, a task for machine translation evaluation metrics, and a task for run-time estimation of machine translation quality. We conducted a large-scale manual evaluation of 103 machine translation systems submitted by 34 teams. We used the ranking of these systems to measure how strongly automatic metrics cor...

A translation portfolio is a systematic collection of student's translations or reports of tasks torepresent a variety of student's achievements in the translation course over a specified period oftime. This paper aims to investigate the effect of portfolio assessment in the translatingclassroom in an attempt to examine its impact on EFL learners' metacognitive awareness. Todetermine the impact...

Machine Translation (MT) is being deployed for a range of use-cases by millions of people on a daily basis. There should, therefore, be no doubt as to the utility of MT. However, not everyone is convinced that MT can be useful, especially as a productivity enhancer for human translators. In this chapter, I address this issue, describing how MT is currently deployed, how its output is evaluated ...

in the current research, eight available full as well as partial arabic translations of the divan of hafez have been compiled and introduced. the arabic translators’ success in transferring hafiz’s artistic plays and thoughts is investigated and the quality of understanding the poems and the stylistic distinctions of the translations in source and target languages are also dealt with. the artic...

We present a first attempt at predicting the quality of translations produced by human, professional translators. We examine datasets annotated for quality at sentenceand word-level for four language pairs and provide experiments with prediction models for these datasets. We compare the performance of such models against that of models built from machine translations, highlighting a number of c...

This article presents a selection of some the latest technologies to perform translation quality management operations such as assurance and assessment using artificial intelligence machine learning; it also discusses impact these technological advances in academic research trends industry.