scholarly journals How far do we agree on the quality of translation?

2015 ◽  
Vol 1 (1) ◽  
pp. 18-31 ◽  
Author(s):  
Maria Kunilovskaya
Keyword(s):  
Error Analysis ◽  
Quality Assessment ◽  
Rating Scale ◽  
Real Life ◽  
Objective Data ◽  
Rater Reliability ◽  
Translation Quality ◽  
Statistical Reliability ◽  
Translator Training

The article aims to describe the inter-rater reliability of translation quality assessment (TQA) in translator training, calculated as a measure of raters’ agreement either on the number of points awarded to each translation under a holistic rating scale or the types and number of translation mistakes marked by raters in the same translations. We analyze three different samples of student translations assessed by several different panels of raters who used different methods of assessment and draw conclusions about statistical reliability of real-life TQA results in general and objective trends in this essentially subjective activity in particular. We also try to define the more objective data as regards error-analysis based TQA and suggest an approach to rank error-marked translations which can be used for subsequent relative grading in translator training.

scholarly journals Translation Quality Assessment of Proverbs from English into Arabic: The Case Study of One Thousand and One English Proverbs Translated into Arabic

2020 ◽  
Author(s):  
Bodour Abdulaziz Alfaleh
Keyword(s):  
Error Analysis ◽  
Quality Assessment ◽  
Analysis Model ◽  
Language And Culture ◽  
Lexical Choice ◽  
Translation Quality ◽  
Literal Translation ◽  
Translation Errors

Proverbs are very important in every language and culture. However, translators sometimes mistranslate them. Thus, this study sheds light on the translation quality assessment of proverbs. These proverbs are collected from One thousand and one English proverbs translated into Arabic by Omar Jabak. This study aims at pointing out the most frequently used strategies for translating proverbs, and investigating how far Na Pham's error analysis model is appropriate for the description and assessment of the strategies used in translating these proverbs. Na Pham's error analysis model is used to identify comprehension, linguistic and translation errors. Moreover, this study aims at detecting the most common errors under each strategy used. The findings of this study show that Na Pham's error analysis model is appropriate for the assessment. It also reveals that there are certain types of errors which are committed more often than others. In addition, it uncovers that the types of errors detected when translating proverbs using partial equivalence and paraphrasing are very similar. Comprehension errors, giving an inaccurate meaning, and distorting the meaning are the most frequently detected errors when translating proverbs using partial equivalents and paraphrasing. On the other hand, wrong lexical choice and too-literal translation are the most frequently detected errors when using literal translation. Finally, this study suggests solutions for improving the quality of Arabic translations of proverbs. In addition, some recommendations for further studies are suggested.

Development of a method for assessing the quality of machine translation based on ensemble methods in machine learning

2021 ◽  
Author(s):  
A.V. Kozina ◽  
Yu.S. Belov
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Quality Assessment ◽  
Machine Translation ◽  
Translation System ◽  
Human Judgment ◽  
Translation Quality ◽  
Machine Translation System ◽  
Translation Systems

Automatically assessing the quality of machine translation is an important yet challenging task for machine translation research. Translation quality assessment is understood as predicting translation quality without reference to the source text. Translation quality depends on the specific machine translation system and often requires post-editing. Manual editing is a long and expensive process. Since the need to quickly determine the quality of translation increases, its automation is required. In this paper, we propose a quality assessment method based on ensemble supervised machine learning methods. The bilingual corpus WMT 2019 for the EnglishRussian language pair was used as data. The text data volume is 17089 sentences, 85% of the data was used for training, and 15% for testing the model. Linguistic functions extracted from the text in the source and target languages were used as features for training the system, since it is these characteristics that can most accurately characterize the translation in terms of quality. The following tools were used for feature extraction: a free language modeling tool based on SRILM and a Stanford POS Tagger parts of speech tagger. Before training the system, the text was preprocessed. The model was trained using three regression methods: Bagging, Extra Tree, and Random Forest. The algorithms were implemented in the Python programming language using the Scikit learn library. The parameters of the random forest method have been optimized using a grid search. The performance of the model was assessed by the mean absolute error MAE and the root mean square error RMSE, as well as by the Pearsоn coefficient, which determines the correlation with human judgment. Testing was carried out using three machine translation systems: Google and Bing neural systems, Mouses statistical machine translation systems based on phrases and based on syntax. Based on the results of the work, the method of additional trees showed itself best. In addition, for all categories of indicators under consideration, the best results are achieved using the Google machine translation system. The developed method showed good results close to human judgment. The system can be used for further research in the task of assessing the quality of translation.

scholarly journals Clinical Response and Quality of Life in Patients with Severe Atopic Dermatitis Treated with Dupilumab: A Single-Center Real-Life Experience

2020 ◽  
Vol 9 (3) ◽  
pp. 791 ◽  
Author(s):  
Silvia Ferrucci ◽  
Giovanni Casazza ◽  
Luisa Angileri ◽  
Simona Tavecchio ◽  
Francesca Germiniasi ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Atopic Dermatitis ◽  
Rating Scale ◽  
Real Life ◽  
Life Quality ◽  
Depression Scale ◽  
Interleukin 4 ◽  
Severe Atopic Dermatitis ◽  
Single Center

Dupilumab is an anti-interleukin-4 receptor monoclonal antibody that was recently approved for the treatment of atopic dermatitis (AD). In this single-center retrospective study, clinical baseline data of 117 severe AD patients treated with dupilumab were collected. At baseline and at weeks 4 and 16, disease severity was assessed through the Eczema Area and Severity Index (EASI) and quality of life through the Dermatology Life Quality Index (DLQI) questionnaire, Patient-Oriented Eczema Measure (POEM), Hospital Anxiety and Depression Scale (HADS), Peak Pruritus Numerical Rating Scale (NRS-itch), and VAS-sleep. Response to dupilumab was defined as an improvement of ≥75% in EASI from baseline (EASI75). At multivariate analysis, AD onset before 18 years [OR, 2.9; 95% CI, 1.2–7.2; p = 0.0207] and absence of hypereosinophilia [OR, 2.24; 95% CI, 1.03–4.86; p = 0.0412] were identified as significant predictive parameters for response to dupilumab in terms of EASI75 at week 4 but not at week 16. Significant reductions in EASI, DLQI, POEM, HADS, NRS-itch, and VAS-sleep were found between week 4 versus baseline (p < 0.0001 for all) and week 16 versus baseline (p < 0.0001 for all). Early AD onset and absence of hypereosinophilia may be suggested as predictive markers of early response to dupilumab. We confirmed the efficacy and safety of this agent along with the improvement of life quality in severe AD patients.

The effects of students’ self-regulation on translation quality

Babel ◽  
2018 ◽  
Vol 64 (5-6) ◽  
pp. 819-839 ◽  
Author(s):  
Paulina Pietrzak
Keyword(s):  
Self Regulation ◽  
Translation Studies ◽  
Work Environments ◽  
Regulatory Activity ◽  
Translation Quality ◽  
Educational Theories ◽  
Translator Training

Abstract The article is an attempt to enter into the area of metacognitive translation studies – or metacognitive translator studies – that has so far received scant coverage, and devote closer attention to the translator’s self-regulatory activity. Self-regulation seems crucial in the development of translation expertise, “especially outside of optimally structured work environments, training academies, and other places with defined translation workflows and opportunities for feedback” (Shreve 2006: 32). The article focuses on the role and nature of self-regulation in translator training. Having identified the issues that emerge from educational theories for translator training, the author analyses the approaches to metacognition in the area of translation education. In an attempt to contribute to the discussion of the multifaceted nature of translator competence, the author investigates the correlation between translation trainees’ self-regulatory activity and the quality of their translation as reflected in their translation grades.

IQ and Reading Comprehension in Translation Quality

2017 ◽  
Vol 5 (4) ◽  
pp. 48 ◽  
Author(s):  
Mohsen Askari ◽  
Azam Samadi Rahim
Keyword(s):  
Reading Comprehension ◽  
Quality Assessment ◽  
Translation Studies ◽  
Study Data ◽  
Significant Finding ◽  
Translation Quality ◽  
Determining Factors ◽  
Almost All ◽  
Raven's Advanced Progressive Matrices

Having a deeper understanding of determining factors in the quality of translation is in the interest of almost all scholars of translation studies. Students’ intelligence is being measured constantly in order to determine their aptitude for entering into different programs. However, in translation studies, the variable of intelligence quotient (IQ) has been curiously ignored among researchers. This study aimed to explore the strength of both IQ and reading comprehension in predicting translation quality among Iranian translation students.  A sample of forty-six translation students from Alborz University of Qazvin participated in this study. Data were collected using three tests including Raven’s Advanced Progressive Matrices, Colina’s (2008) componential translation quality rating scheme and the reading comprehension test of IELTS. The results show IQ test scores and reading comprehension significantly predict translation quality assessment. Surprisingly, the most significant finding is that IQ score is by far a better predictor of translation quality than reading comprehension. Overall, it is concluded that translation quality assessment is more of a deeper cognitive function than solely language process, which could lead to more research on cognitive aspects of translation.

scholarly journals Assessing the English Translation of BFSU’s New Motto

2016 ◽  
Vol 6 (6) ◽  
pp. 45
Author(s):  
Zuqiong Ma
Keyword(s):  
Higher Education ◽  
Quality Assessment ◽  
English Translation ◽  
Social Research ◽  
Native Language ◽  
Modified Model ◽  
Translation Quality ◽  
Chinese University ◽  
Marketing Tool

<p>The motto is a potent marketing tool in today’s globalized site of higher education. Beijing Foreign Studies University (BFSU) adopted a new motto in 2011 to reflect its new self-branding as a cosmopolitan scholar-doer. Its English translation has since then triggered much discussion about quality assessment. The current study critically surveys the existing literature on translation quality assessment (TQA), in an effort to identify an appropriate framework to assess the translation of Chinese university mottos. House’s model (2015) is found the most appropriate and applied to the official translation of the BFSU motto, after being adjusted in two important aspects. One, in regard to the rise of English as a language of global communication, it is proposed that more broad-based English norms than those of English as a native language be established for the purpose of adjudicating cultural filtering. Two, the use of corpus-based contrastive pragmatics is expanded to gauge the justifiability of overt as well as covert mismatches. While the errors identified by such a modified model are better intersubjectively verifiable, it remains to see how social research can be incorporated into the system to assess the degrees different errors may impact on the perceived quality of a translation.</p>

scholarly journals Diet-Related Mobile Apps to Promote Healthy Eating and Proper Nutrition: A Content Analysis and Quality Assessment

2021 ◽  
Vol 18 (7) ◽  
pp. 3496
Author(s):  
Jihye Choi ◽  
Chongwook Chung ◽  
Hyekyung Woo
Keyword(s):  
Quality Assessment ◽  
Mobile Applications ◽  
Rating Scale ◽  
Mobile Apps ◽  
Mobile App ◽  
Regression Analyses ◽  
Eligibility Criteria ◽  
Selection Of

Dietary mobile applications (apps) continue to hold promise for facilitating a healthy diet and managing nutrition. However, few studies have objectively evaluated the content and quality of such apps in Korea. The present study assessed the content and quality of dietary mobile apps using the Mobile App Rating Scale (MARS). We selected 29 dietary apps based on keywords and eligibility criteria for inclusion in the analyses. We conducted regression analyses to examine the association between app content and MARS scores. Most of the apps featured a tracking tool, while few featured rewards or follow-up management. Our quality assessment revealed that the top-rated apps have distinct levels of quality in terms of MARS scores. The regression analyses showed that the ways in which the apps provide information and motivate the users are statistically significant predictors of app quality. Our findings may facilitate the selection of dietary apps in Korea and provide guidelines for app developers regarding potential improvements in terms of content and quality.

scholarly journals Teaching Specialised Translation Through Corpus Linguistics: Translation Quality Assessment and Methodology Evaluation and Enhancement by Experimental Approach

2019 ◽  
Vol 63 (3) ◽  
pp. 807-825
Author(s):  
Natalie Kübler* ◽  
Alexandra Mestivier* ◽  
Mojca Pecman*
Keyword(s):  
Quantitative Analysis ◽  
Quality Assessment ◽  
Corpus Linguistics ◽  
Experimental Approach ◽  
Global Communication ◽  
High Quality ◽  
Translation Quality ◽  
Research Material ◽  
Current Context

In the current context of rapid and constant evolution of global communication and specialised discourses, the need for devising methods for ensuring both high quality levels of specialised translation and successful translation training is becoming a true challenge. Steady renewal in knowledge paradigms leads to an increase in term coinage, modifications in lexical and phraseological patterns, and accommodations in discourse conventions. This situation requires teachers in specialised translation to train future translators to develop the skills meant to help them adapt rapidly to change. The tools brought by corpus linguistics offer access to the language-in-the-making and continuously emerging knowledge fields. However, methods for their efficient exploitation in translation classes can still be improved. In the current study, we present the translation-teaching framework devised specifically for such contexts. It is based on corpus linguistics, terminology management, collaboration with experts, and the quantitative analysis of the quality of finished translations, which can then, in turn, be used to improve the overall framework and to provide research material on specialised translation problems.

scholarly journals Learners’ Difficulties in Self-evaluation in English Vietnamese Translation Quality Assessment

2020 ◽  
Vol 3 (10) ◽  
pp. 156-163
Author(s):  
Tri Minh Nguyen ◽  
Trang Xuan Phuong Dao
Keyword(s):  
Quality Assessment ◽  
Mixed Method ◽  
Time Constraints ◽  
Translation Process ◽  
Independent Basis ◽  
Self Evaluation ◽  
Translation Quality ◽  
University Curriculum ◽  
Target Culture

The field of English translation and interpretation has shown an increasing popularity in Vietnam in the context of globalization. However, translation in the target culture still has a certain number of problems in transferring the equivalence between two languages, which causes some ambiguities and misunderstandings for readers (House, 2015). Hence, translation quality assurance is significant in ensuring the degree of suitability of the texts as a post-translation process (Munday, 2016). This paper aimed to investigate the difficulties of English majors of translation and interpretation in assessing the quality of texts translated from English to Vietnamese during the learning process on an independent basis. The study employed the mixed method with 50 fourth-year students at Nguyen Tat Thanh University via questionnaires. The findings revealed that those majors had to deal with five main groups of troubles including (1) time constraints, (2) non-equivalence between English and Vietnamese, (3) insufficient cultural understandings, (4) inadequate supports from lecturers, and especially (5) the lack of official framework for translation quality assessment. This paper also proposes the fundamental for university curriculum developments from the learners’ perspectives.

scholarly journals Teknik dan Kualitas Penerjemahan Frasa Washfi pada Novel Zeina Karya Nawal El Sadawi

2021 ◽  
Vol 4 (1) ◽  
pp. 66-98
Author(s):  
Aditya Prayogo ◽  
Fitria Sari Yunianti
Keyword(s):  
Quality Assessment ◽  
Descriptive Analysis ◽  
Qualitative Approach ◽  
The Novel ◽  
Analysis Method ◽  
Translation Quality ◽  
Literal Translation ◽  
Translation Technique ◽  
Translation Techniques

This research explain the techniques and quality assessment of the translation of washfi phrases in the novel Zeina's translation by Nawal El Saadawi. This research is a part of translation criticism by using the descriptive analysis method. This research uses a qualitative approach in analyzing translation techniques by applying Newmark's theory of translation techniques. In addition, a quantitative approach is also used in assessing the quality of translation by applying the theory of translation quality assessment by Nababan. The results of this research indicate that there are 348 data on washfi phrases in the novel Zeina and 40 data on washfi phrases in this study. The techniques used in translation are 10 of 16 Newmark translation techniques. The ten techniques are literal translation technique, transference, reduction, expansion, transposition, synonymy, modulation, naturalization, paraphrasing, and recognized translation technique. As for the assessment of translation quality, the most acceptable translation qualities were literal translation techniques and synonymy techniques (77%). Meanwhile, the lowest acceptance quality was naturalization technique, which was 62%. Then, the quality of easy / high readability is in the paraphrasing technique, which is 76%. While the quality of the lowest readability is naturalization technique, which is 46%.

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