Mass adoption of neural machine translation (NMT) tools in the translation workflow has exerted a significant impact on the language services industry over the last decade. There are claims that with the advent of NMT, automated translation has reached human parity for translating news (see, e.g. Popel et al. 2020). Moreover, some machine…

Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…

Translators employ an array of tools to streamline the translation process, ensuring precision and coherence. The necessity of these tools is particularly pronounced when tackling authentic materials, such as texts from the United Nations (UN). Among these tools, corpora stand out as a pivotal resource. In light of this, this study undertook a…

This study aimed to compare whether Traditional Grammar Translation Method (henceforward TGTM) or Communicative Language Teaching (henceforward CLT) was more effective in teaching English language grammar and vocabulary. The participants of this study were sixty-eight 9th grade students attending to a high school. Mixed methods research design was…

Collocation is an often-neglected language form that foreign language teachers and students should focus on to achieve competence in a target language. In this research, the researchers studied purposely to facilitate both second language teachers and students to produce correct and appropriate collocations. The purposes of this research were 1)…

Adjective- noun order errors are a common occurrence throughout all levels of English language students. Based on professional experiences, existing literature and revisiting what some may consider archaic methodologies, this reflective article aims to analyse adjective-noun order errors among Colombian learners of English, understand why it…

We examine the stylistic aspects of L2 translations using a set of quantifiable descriptors. The sample includes 40 translations of a promotional text from Czech into English and French produced by novices and professional translators. The general stylistic competence is slightly higher in the group of professionals, although the overall quality…

The article attempts to determine whether translation errors (in particular semantic and stylistic ones) in translator-training settings are predominantly the result of translation directionality, i.e. of the fact that the student translators are translating into their L2 and that their language competence in L2 is not as strong as in their L1, or…

The reversal error is a prevalent phenomenon that consists of reversing the relationship between two variables when writing equations from comparison in verbal language. A study with 169 Basque/Spanish bilingual pre-service teachers examined whether this error is mainly due to the students' tendency to employ a direct-translation strategy based on…

The aim of this paper is to make a point in a discussion whether and to what extent it is advisable to incorporate language instruction activities into the translation course. Although translation competence is often perceived as a set of sub-competencies that always includes language skills, regardless of the theoretical framework adopted, it is…

The purpose of this paper is to present an experimental study on summative assessment in translation teaching. The paper emphasises the need to use, as an alternative to traditional assessment (i.e. the translation of a text under exam conditions), multidimensional assessment based on a range of criterion-referenced and competence-based assessment…

Machine translation is currently undergoing a paradigm shift from statistical to neural network models. Neural machine translation (NMT) is difficult to conceptualise for translation students, especially without context. This article describes a short in-class evaluation exercise to compare statistical and neural MT, including details of student…

Both lack of time and the need to translate texts for numerous reasons brought about an increase in studying machine translation with a history spanning over 65 years. During the last decades, Google Translate, as a statistical machine translation (SMT), was in the center of attention for supporting 90 languages. Although there are many studies on…

In this study, we examined whether interpreters and interpreting trainees are better predisposed to respeaking than people with no interpreting skills. We tested 57 participants (22 interpreters, 23 translators and 12 controls) while respeaking 5-minute videos with two parameters: speech rate (fast/slow) and number of speakers (one/many). Having…

This study examines second language activation in Arabic-English bilinguals for whom Arabic was the first language. Modeling its design on Colome (2001), the research compared processing in a picture-phoneme matching task for Arabic-English bilinguals tested in the United States or in Saudi Arabia to determine whether activation of English…