Joss Moorkens
Biographic Data
| ID | 292205 |
|---|---|
| NAME | Joss Moorkens |
| GIVEN NAMES | Joss |
| FAMILY NAME | Moorkens |
| SIGNATURE | MOORKENS J |
| AFFILIATIONS | Dublin City University |
| ORCID | 0000-0003-0766-0071 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 14 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Empowering Migrant Communities through Machine Translation Literacy
This article presents the results of a pilot study aimed at designing an effective training program to teach migrant workers how to use machine translation (MT) tools (specifically Google Translate) by themselves. Employing a reflection and observation approach, the research team documented both participant experiences and their insights throughout the pilot. The training sessions were designed to improve practical skills and to raise participant…
The machine translator’s visibility
This article proposes that machine and human translation differ in use and seeks to demonstrate this not by comparison, but rather using the framework from philosophy of technology known as postphenomenology. Following the work of Don Ihde and others, postphenomenology is intended to examine how technologies mediate our relations with the world. Following a short introduction to postphenomenology, the place of machine translation (MT) along Ihde’…
Translators’ trust and distrust in the times of GenAI
This article explores how professional translators perceive generative AI, particularly in relation to trust and mistrust, in systems such as ChatGPT. Using a mixed-methods approach, it begins with an analysis of online discussions among translators and follows with a survey of 252 professionals. The study offers a structured account of the factors influencing trust, placing translators’ concerns within established models of technology acceptance…
Measuring translators’ quality of working life and their career motivation
This article discusses the conceptual and methodological aspects of the Translator WRQoL (Work-related Quality of Life) survey and provides some preliminary results and observations based on the first pilot study. The survey is being developed to measure translators’ work satisfaction and motivation in the context of job digitalisation and automation. Literature suggests that translators’ work satisfaction and their career motivation have been ad…
Translators in the platform economy
In the wake of the platform economy's transformative influence on translation work, this study aims to address a critical concern: the alignment of translation workers' labour conditions with the principles of decent work.Through a quantitative analysis of a subset of questionnaire data collected from translators in Turkey engaging with various digital labour platforms, the findings suggest substantial disparities in meeting the six fundamental c…
I am not a number’
Numbers and measurements enable transactions and communication in translation in ways that are helpful and indisputably necessary. However, as deployment of quantification and mathematisation has become more complex and opaque, it is important to interrogate the validity of measures and predictions, especially if they are to be used as a basis for action. This article takes a critical look at the various types of quantification and mathematisatio…
“A tiny cog in a large machine”
Translators have worked with the assistance of computers for many years, usually translating whole texts, divided into segments but in sequential order. In order to maximise efficiency and inspired by similar moves in the tech industry and predictions for Industry 4.0, large translation companies have begun to break tasks down into smaller chunks and to rigidly define and monitor translation processes. This is particularly true of platform-mediat…
Fair MT
Preview this article: Fair MT, Page 1 of 1 /docserver/preview/fulltext/ts.00018.int-1.gif
A Rights-Based Approach to Trustworthy AI in Social Media
Social media platforms increasingly use powerful artificial intelligence (AI) that are fed by the vast flows of digital content that may be used to analyze user behavior, mental state, and physical context. New forms of AI-generated content and AI-driven virtual agents present new forms of risks in social media use, the harm of which will be difficult to predict. Delivering trustworthy social media will therefore be increasingly predicated on eff…
Translators' perceptions of literary post-editing using statistical and neural machine translation
In the context of recent improvements in the quality of machine translation (MT) output and new use cases being found for that output, this article reports on an experiment using statistical and neural MT systems to translate literature. Six professional translators with experience of literary translation produced English-to-Catalan translations under three conditions: translation from scratch, neural MT post-editing, and statistical MT post-edit…
Under pressure
The profession of translation is undergoing enormous change, expedited by the global recession that began in 2007–2008. Government policies and an intensive focus on cost has resulted in a large scale move to freelance or contingent work, leaving the worker in a precarious position with regard to rights and undermining his or her agency. This shift is exemplified particularly by the vendor model widespread in specialised translation work. Related…
A virtuous circle
This study compares consistency in target texts produced using translation memory (TM) with that of target texts produced using statistical machine translation (SMT), where the SMT engine is trained on the same texts as are reused in the TM workflow. These comparisons focus specifically on noun and verb inconsistencies, as such inconsistencies appear to be highly prevalent in TM data. The study substitutes inconsistent TM target text nouns and ve…
Translators' perceptions of literary post-editing using statistical and neural machine translation
In the context of recent improvements in the quality of machine translation (MT) output and new use cases being found for that output, this article reports on an experiment using statistical and neural MT systems to translate literature. Six professional translators with experience of literary translation produced English-to-Catalan translations under three conditions: translation from scratch, neural MT post-editing, and statistical MT post-edit…
Under pressure
The profession of translation is undergoing enormous change, expedited by the global recession that began in 2007–2008. Government policies and an intensive focus on cost has resulted in a large scale move to freelance or contingent work, leaving the worker in a precarious position with regard to rights and undermining his or her agency. This shift is exemplified particularly by the vendor model widespread in specialised translation work. Related…
A virtuous circle
This study compares consistency in target texts produced using translation memory (TM) with that of target texts produced using statistical machine translation (SMT), where the SMT engine is trained on the same texts as are reused in the TM workflow. These comparisons focus specifically on noun and verb inconsistencies, as such inconsistencies appear to be highly prevalent in TM data. The study substitutes inconsistent TM target text nouns and ve…
A virtuous circle
This study compares consistency in target texts produced using translation memory (TM) with that of target texts produced using statistical machine translation (SMT), where the SMT engine is trained on the same texts as are reused in the TM workflow. These comparisons focus specifically on noun and verb inconsistencies, as such inconsistencies appear to be highly prevalent in TM data. The study substitutes inconsistent TM target text nouns and ve…
Under pressure
The profession of translation is undergoing enormous change, expedited by the global recession that began in 2007–2008. Government policies and an intensive focus on cost has resulted in a large scale move to freelance or contingent work, leaving the worker in a precarious position with regard to rights and undermining his or her agency. This shift is exemplified particularly by the vendor model widespread in specialised translation work. Related…
Translators' perceptions of literary post-editing using statistical and neural machine translation
In the context of recent improvements in the quality of machine translation (MT) output and new use cases being found for that output, this article reports on an experiment using statistical and neural MT systems to translate literature. Six professional translators with experience of literary translation produced English-to-Catalan translations under three conditions: translation from scratch, neural MT post-editing, and statistical MT post-edit…
“A tiny cog in a large machine”
Translators have worked with the assistance of computers for many years, usually translating whole texts, divided into segments but in sequential order. In order to maximise efficiency and inspired by similar moves in the tech industry and predictions for Industry 4.0, large translation companies have begun to break tasks down into smaller chunks and to rigidly define and monitor translation processes. This is particularly true of platform-mediat…
Fair MT
Preview this article: Fair MT, Page 1 of 1 /docserver/preview/fulltext/ts.00018.int-1.gif
A Rights-Based Approach to Trustworthy AI in Social Media
Social media platforms increasingly use powerful artificial intelligence (AI) that are fed by the vast flows of digital content that may be used to analyze user behavior, mental state, and physical context. New forms of AI-generated content and AI-driven virtual agents present new forms of risks in social media use, the harm of which will be difficult to predict. Delivering trustworthy social media will therefore be increasingly predicated on eff…
I am not a number’
Numbers and measurements enable transactions and communication in translation in ways that are helpful and indisputably necessary. However, as deployment of quantification and mathematisation has become more complex and opaque, it is important to interrogate the validity of measures and predictions, especially if they are to be used as a basis for action. This article takes a critical look at the various types of quantification and mathematisatio…
Measuring translators’ quality of working life and their career motivation
This article discusses the conceptual and methodological aspects of the Translator WRQoL (Work-related Quality of Life) survey and provides some preliminary results and observations based on the first pilot study. The survey is being developed to measure translators’ work satisfaction and motivation in the context of job digitalisation and automation. Literature suggests that translators’ work satisfaction and their career motivation have been ad…
Translators in the platform economy
In the wake of the platform economy's transformative influence on translation work, this study aims to address a critical concern: the alignment of translation workers' labour conditions with the principles of decent work.Through a quantitative analysis of a subset of questionnaire data collected from translators in Turkey engaging with various digital labour platforms, the findings suggest substantial disparities in meeting the six fundamental c…
The machine translator’s visibility
This article proposes that machine and human translation differ in use and seeks to demonstrate this not by comparison, but rather using the framework from philosophy of technology known as postphenomenology. Following the work of Don Ihde and others, postphenomenology is intended to examine how technologies mediate our relations with the world. Following a short introduction to postphenomenology, the place of machine translation (MT) along Ihde’…
Translators’ trust and distrust in the times of GenAI
This article explores how professional translators perceive generative AI, particularly in relation to trust and mistrust, in systems such as ChatGPT. Using a mixed-methods approach, it begins with an analysis of online discussions among translators and follows with a survey of 252 professionals. The study offers a structured account of the factors influencing trust, placing translators’ concerns within established models of technology acceptance…
Empowering Migrant Communities through Machine Translation Literacy
This article presents the results of a pilot study aimed at designing an effective training program to teach migrant workers how to use machine translation (MT) tools (specifically Google Translate) by themselves. Employing a reflection and observation approach, the research team documented both participant experiences and their insights throughout the pilot. The training sessions were designed to improve practical skills and to raise participant…
Business (6 works) · Computer Science (6 works) · Artificial Intelligence (4 works) · Law (4 works) · Political science (4 works) · Topic Modeling (4 works) · Machine translation (3 works) · Natural Language Processing Techniques (3 works) · Public relations (3 works) · Translation Studies and Practices (3 works)