Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine Translation (MT) engines as they are developed based on frequent evaluation. Although MTEMs are widespread today, their validity and quality for many languages is still under question. The aim of this research study was to examine the validity and assess the quality of MTEMs from Lexical Similarity set on machine tra...

INTRODUCTION Translation quality is a central issue in the translation profession and one of the most controversial topics in translation studies today. In one aspect, translation quality is a direct result of the translation process, which cannot be separated from the principal actor in the process, namely the translator. Subsequently, translator competence is always called into question whene...

background symptoms of gastro-esophageal reflux disease (gerd) affect health-related quality of life (hrqol). when a questionnaire is translated into a new language, linguistic validation is necessary, yet insufficient, unless the psychometric characteristics have been verified. the aim of this study is to document the translation and psychometric validation of the persian translation of the qu...

drawing on henri meschonnic’s notion of an “inscient ethics,” and putting “inscience” into dialogue with the old ideal of a “science” of translation, the article explores the collective socio-affective ecologies that organize and regulate social and professional norms and values of translation below the level of conscious awareness—as the true underlying structure not only of “subjectivity” (so...

Considering the statement that errors can affect the quality of translations, the need to adopt an objective model to analyze these errors has been one of the most debated issues in translation quality assessment. In recent decades, some objective models have emerged with an error analysis nature according to which evaluators can make decisions on the quality of translations. In this study, Met...

In this paper we will present a maximum entropy filter for the translation rules of a statistical machine translation system based on tree transducers. This filter can be successfully used to reduce the number of translation rules by more than 70% without negatively affecting translation quality as measured by BLEU. For some filter configurations, translation quality is even improved. Our inves...

We describe experiments on quality estimation to select the best translation among multiple options for a given source sentence. We consider a realistic and challenging setting where the translation systems used are unknown, and no relative quality assessments are available for the training of prediction models. Our findings indicate that prediction errors are higher in this blind setting. Howe...

PURPOSE Although the inclusion of non-native-speaking participants in nursing research is important in every country where nursing research takes place, the literature contains little on the method of achieving quality translation while simultaneously addressing cost containment. We describe a process for evaluating translation adequacy and demonstrate its use in comparing procedures for transl...