Terminology and Translation Quality Assurance

Although terminology management is on everyone's agenda nowadays, there is still a major gap between best practices and real life implementations/old habits. In this article we describe how this affects translation and quality assurance of translation. We also present a methodology to process poorly managed terminology data and use the information retrieved during processing and translation to improve the organization and consistency of a term base.Tot i que avui dia tothom està al cas de la gestió terminològica, encara hi ha una gran distancia entre una gestió diligent de la terminologia i la pràctica habitual. Aquest article descriu com aquestes practiques poden afectar la traducció i el procés de control de qualitat. També presenta una metodologia que permet processar dades terminològiques gestionades amb carències i utilitzar la informació recuperada durant el processament i la traducció per tal de millorar la organització y la consistència d'una base de dades.A pesar de que hoy día todo el mundo presta atención a la gestión terminológica, todavía hay una gran distancia entre una gestión diligente de la terminología y la práctica habitual. Este artículo describe cómo estas prácticas pueden afectar la traducción y el proceso de control de calidad. També presenta una metodología que permite procesar datos terminológicos gestionados con carencias y utilizar la información recuperada durante el procesamiento y la traducción para mejorar la organización y la consistencia de una base de datos

The science of citizen science: a systematic literature review on educational and scientific outcomes

Citizen Science is an ever-growing field of public engagement with science, and recent years have seen an increasing number of studies examining its potential. This study reviews this research to determine the educational and scientific outcomes of Citizen Science. A literature search produced 1,240 articles that were subsequently coded according to their main focus. Articles fell into one of three main categories: (a) empirical scientific articles, (b) narrative project descriptions, and (c) theoretical and technical conceptualizations. Hundred and forty-eight studies investigated educational outcomes of participation in Citizen Science such as effects on interest in science or motivation. These studies were examined further to assess the achievement of educational outcomes of Citizen Science. In terms of changing epistemological beliefs, for example, Citizen Science seems to have little effect. Overall, there is currently a lack of empirical studies to assess the educational outcomes comprehensively. In contrast, many empirical scientific articles answered research questions in different scientific disciplines based on Citizen Science data and many studies confirmed a high level of Citizen Science data quality providing information on the scientific outcomes. Implications for future research on Citizen Science are discussed

Deep dive machine translation

Machine Translation (MT) is one of the oldest language technologies having been researched for more than 70 years. However, it is only during the last decade that it has been widely accepted by the general public, to the point where in many cases it has become an indispensable tool for the global community, supporting communication between nations and lowering language barriers. Still, there remain major gaps in the technology that need addressing before it can be successfully applied in under-resourced settings, can understand context and use world knowledge. This chapter provides an overview of the current state-of-the-art in the field of MT, offers technical and scientific forecasting for 2030, and provides recommendations for the advancement of MT as a critical technology if the goal of digital language equality in Europe is to be achieved

Terminology and Translation Quality Assurance

Although terminology management is on everyone's agenda nowadays, there is still a major gap between best practices and real life implementations/old habits. In this article we describe how this affects translation and quality assurance of translation. We also present a methodology to process poorly managed terminology data and use the information retrieved during processing and translation to improve the organization and consistency of a term base.Tot i que avui dia tothom està al cas de la gestió terminològica, encara hi ha una gran distancia entre una gestió diligent de la terminologia i la pràctica habitual. Aquest article descriu com aquestes practiques poden afectar la traducció i el procés de control de qualitat. També presenta una metodologia que permet processar dades terminològiques gestionades amb carències i utilitzar la informació recuperada durant el processament i la traducció per tal de millorar la organització y la consistència d'una base de dades.A pesar de que hoy día todo el mundo presta atención a la gestión terminológica, todavía hay una gran distancia entre una gestión diligente de la terminología y la práctica habitual. Este artículo describe cómo estas prácticas pueden afectar la traducción y el proceso de control de calidad. També presenta una metodología que permite procesar datos terminológicos gestionados con carencias y utilizar la información recuperada durante el procesamiento y la traducción para mejorar la organización y la consistencia de una base de datos

Konstruktion und Validierung eines Fragesbogens zur Erfassung von situationalem und individuellem Interesse

van den Bogaert V, Wirth J, Wilde M. Konstruktion und Validierung eines Fragesbogens zur Erfassung von situationalem und individuellem Interesse. Presented at the 5. Tagung der Gesellschaft für Empirische Bildungsforschung (GEBF), Heidelberg

Misalignment Detection for Web-Scraped Corpora: A Supervised Regression Approach

To build state-of-the-art Neural Machine Translation (NMT) systems, high-quality parallel sentences are needed. Typically, large amounts of data are scraped from multilingual web sites and aligned into datasets for training. Many tools exist for automatic alignment of such datasets. However, the quality of the resulting aligned corpus can be disappointing. In this paper, we present a tool for automatic misalignment detection (MAD). We treated the task of determining whether a pair of aligned sentences constitutes a genuine translation as a supervised regression problem. We trained our algorithm on a manually labeled dataset in the FR–NL language pair. Our algorithm used shallow features and features obtained after an initial translation step. We showed that both the Levenshtein distance between the target and the translated source, as well as the cosine distance between sentence embeddings of the source and the target were the two most important features for the task of misalignment detection. Using gold standards for alignment, we demonstrated that our model can increase the quality of alignments in a corpus substantially, reaching a precision close to 100%. Finally, we used our tool to investigate the effect of misalignments on NMT performance

European language equality : a strategic agenda for digital language

This chapter provides an in-depth account of current research activities and applications in the field of Speech Technology (ST). It discusses technical, scientific, commercial and societal aspects in various ST sub-fields and relates ST to the wider areas of Natural Language Processing and Artificial Intelligence. Furthermore, it outlines breakthroughs needed, main technology visions and provides an outlook towards 2030 as well as a broad view of how ST may fit into and contribute to a wider vision of Deep Natural Language Understanding and Digital Language Equality in Europe. The chapter integrates the views of several companies and institutions involved in research and commercial application of ST.peer-reviewe

The science of citizen science

Citizen Science is an ever-growing field of public engagement with science, and recent years have seen an increasing number of studies examining its potential. This study reviews this research to determine the educational and scientific outcomes of Citizen Science. A literature search produced 1,240 articles that were subsequently coded according to their main focus. Articles fell into one of three main categories: (a) empirical scientific articles, (b) narrative project descriptions, and (c) theoretical and technical conceptualizations. Hundred and forty-eight studies investigated educational outcomes of participation in Citizen Science such as effects on interest in science or motivation. These studies were examined further to assess the achievement of educational outcomes of Citizen Science. In terms of changing epistemological beliefs, for example, Citizen Science seems to have little effect. Overall, there is currently a lack of empirical studies to assess the educational outcomes comprehensively. In contrast, many empirical scientific articles answered research questions in different scientific disciplines based on Citizen Science data and many studies confirmed a high level of Citizen Science data quality providing information on the scientific outcomes. Implications for future research on Citizen Science are discussed