Search results for "Translation"
showing 10 items of 1324 documents
Training the translator trainers : an introduction
2019
This is an Accepted Manuscript of an article published by Taylor & Francis in [The Interpreter and Translator Trainer] on [09 Oct 2019], available online: http://www.tandfonline.com/10.1080/1750399X.2019.1647821
Provoke or encourage improvements? On semantic prosody in English-to-Polish translation
2021
Originally defined as an aura of meaning associated with words used together in a particular context, semantic prosody is a complex linguistic concept, and there is no agreement among researchers as to its precise definition and level of operationalization (word, phrase, text or discourse). Although there have been some studies on semantic prosody in translation, their findings are rather inconclusive and limited to individual words and phrases. Also, there has been no research on semantic prosody conducted so far in Polish-English translation. Intending to fill in this gap, this paper, grounded in corpus linguistics, showcases the role of semantic prosody in a selected English-to-Polish tr…
Generating incremental type services
2019
In this vision paper, we propose a method for generating fully functional incremental type services from declarations of type rules. Our general strategy is to translate type rules into Datalog, for which efficient incremental solvers are already available. However, many aspects of type rules don't naturally translate to Datalog and need non-trivial translation. We demonstrate that such translation may be feasible by outlining the translation rules needed for a language with typing contexts (name binding) and bidirectional type rules (local type inference). We envision that even rich type systems of DSLs can be incrementalized by translation to Datalog in the future.
Subtitling and dubbing as teaching resources for learning English as a foreign language using Clipflair software
2020
[EN] The research validity of using clips as audiovisual material to teach a foreign language has been demonstrated by many scholars. At the same time, the combination of this material with two modalities of audiovisual translation (AVT) - subtitling and dubbing- is worth exploring. The aim of this study is to present the effectiveness of subtitling and dubbing activities as tools for teaching English as a foreign language. In order to do so, a number of participants from the University of Valencia (Spain) whose level of English was B2/B2+ were engaged in a combination of subtitling and dubbing activities. I devised a series of tasks based on a two-minute subtitled video-clip, designed to i…
Comparing the Quality of Neural Machine Translation and Professional Post-Editing
2019
This empirical corpus study explores the quality of neural machine translations (NMT) and their post-edits (NMTPE) at the German Department of the European Commission’s Directorate-General for Translation (DGT) by evaluating NMT outputs, NMTPE, and respective revisions (REV) with the automatic error annotation tool Hjerson (Popovic 2011) and the more fine-grained manual MQM framework (Lommel 2014). Results show that quality assurance measures by post-editors and revisors at the DGT are most often necessary for lexical errors. More specifically, if post-editors correct mistranslations, terminology or stylistic errors in an NMT sentence, revisors are likely to correct the same type of error i…
Models of the Translation Process
2017
The Development of the TPR-DB as Grounded Theory Method
2018
Abstract Initial versions of the translation process research database (TPR-DB), were released around 2011 in an attempt to integrate translation process data from several until then individually collected and scattered translation research projects. While the earlier individual studies had a clear focus on quantitative assessment of well-defined research questions on cognitive processes in human translation production, the integration of the data into the TPR-DB allowed for broader qualitative and exploratory research which has led to new codes, categories and research themes. In a constant effort to develop and refine the emerging concepts and categories and to validate the developing the…
Training the modern translator – the acquisition of digital competencies through blended learning
2019
This paper presents the ERASMUS+ DigiLing project, which aims to teach and improve linguists’ and translators’ skills and knowledge of digitalisation to prepare them for today’s job market. Against this background, it discusses the development of digital competencies and distinguishes them from traditional domain-specific and general competencies. For the purpose of competence acquisition, six online courses have been created which all revolve around the field of ‘digital linguistics’, including localization in the digital age and post-editing machine translation. We provide an overview of the project, the course contents and the didactic methodology. In addition, we discuss which competenc…
Acquisition of Generic Competencies Through Project Simulation in Translation Studies
2017
Motivated by the research in several international and interdisciplinary initiatives, for example, P21 Partnership for 21st Century Learning or the Collegiate Learning Assessment instruments, we seek for a scalable and measureable set of generic competencies for translation studies. Up to now, the acquisition of competencies in translation studies has primarily been operationalized by implementing authentic projects in higher education classes using socio-constructivist approaches. This results in a hybridization of subject-specific competencies and generic competencies in translator education. Because of the necessity to focus on the acquisition of generic competencies as a primary learnin…
Combining Machine Translated Sentence Chunks from Multiple MT Systems
2018
This paper presents a hybrid machine translation (HMT) system that pursues syntactic analysis to acquire phrases of source sentences, translates the phrases using multiple online machine translation (MT) system application program interfaces (APIs) and generates output by combining translated chunks to obtain the best possible translation. The aim of this study is to improve translation quality of English – Latvian texts over each of the individual MT APIs. The selection of the best translation hypothesis is done by calculating the perplexity for each hypothesis using an n-gram language model. The result is a phrase-based multi-system machine translation system that allows to improve MT out…