MT-EQuAl (Machine Translation Errors, Quality, Alignment) is a toolkit for human assessment of Machine Translation (MT) output. MT-EQuAl implements three different tasks in an integrated environment: annotation of translation errors, translation quality rating (e.g. adequacy and fluency, relative ranking of alternative translations), and word alignment. The toolkit is webbased and multi-user, a...

apart from the linguistic ability in translation which has constantly been the focus of scholars in the past decades, many recent arguments and research on translation quality point to the indispensable effect of mental and cognitive aspects of translator on his translation performance. in this paper we sought to implement this psychological approach and to investigate the probable relationship...

background: as a disease of motor nervous system (motor neuron  disease), amyotrophic  lateral  sclerosis (als)  has  a great  impact  on  several  aspects  of  quality  of  life (qol). generic questionnaires of qol do not address all the especial features  of als and  therefore  translation  and  validation of disease specific questionnaires such as amyotrophic lateral sclerosis assessment  qu...

Translation is evaluated in terms of its forms and functions inside the historically developed systems of the receiving culture and literature. This study aimed to evaluate the quality of Persian translation of the14th edition of the original English book “Principles of Marketing” written by Philip Kotler and Gary Armstrong based on House (TQA) model: overt and covert translation distinction. T...

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 principle of compositionality. The SimpleNets systems explore the idea that the quality of a translation can be derived from the quality of its n-grams. This approach has been successfully employed in Text Simplificatio...