Free/Open-Source Software for the Translation Classroom

Flórez, Silvia; Alcina, Amparo

doi:10.1080/13556509.2011.10798824

Cited by 11 publications

(5 citation statements)

References 4 publications

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“…This change of focus has fostered the introduction in the classroom of alternative tools to the popular commercial translation software, which are seen to be more expensive and complex, and for which hundreds of hours of practising could be required by both trainers and trainees to reach a proficient level of use (Aiping and Deliang 2017). These alternate options include, among others, free and open source software (FOSS) translation technologies (Flórez and Alcina 2011), such as Apertium, OmegaT or Pootle to name just a few. They may also include technology developed in research projects that are then used for teaching and learning (e.g.…”

Section: Pedagogic Approaches and Methodsmentioning

confidence: 99%

The Routledge Handbook of Translation and Education

Laviosa¹,

González-Davies²

2019

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Routledge is an imprint of the Taylor & Francis Group, an informa business © 2020 selection and editorial matter, Sara Laviosa and Maria González-Davies; individual chapters, the contributors The right of Sara Laviosa and Maria González-Davies to be identified as the authors of the editorial material, and of the authors for their individual chapters, has been asserted in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988.With the exception of Chapters 4, 25 and 26, no part of this book may be reprinted or reproduced or utilised in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publishers. Chapters 4, 25 and 26 of this book are available for free in PDF format as Open Access from the individual product page at www.routledge.com. It has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

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Section: Pedagogic Approaches and Methodsmentioning

confidence: 99%

The Routledge Handbook of Translation and Education

Laviosa¹,

González-Davies²

2019

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“…This change of focus has fostered the introduction in the classroom of alternative tools to the popular commercial translation software, which are seen to be more expensive and complex, and for which hundreds of hours of practising could be required by both trainers and trainees to reach a proficient level of use (Aiping and Deliang 2017). These alternate options include, among others, Free and Open Source Software (FOSS) translation technologies (Flórez and Alcina 2011), such as Apertium,…”

Section: Pedagogic Approaches and Methodsmentioning

confidence: 99%

Translation and technology

O’Brien¹,

Vázquez²

2019

The Routledge Handbook of Translation and Education

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INTRODUCTIONTranslation Technology, Translation Tools, Translation Environment Tools (or TEnTs) andComputer-Aided Translation (or CAT) are frequently used as synonyms. In its broadest sense translation technology is understood to include a large array of computer tools that help translators do their jobs, including word processors, spell, style and grammar checkers, the World Wide Web, corpus compilation and analysis tools, terminology management tools, translation memory tools (TM), translation management systems (TMS) and machine translation (MT). Bowker (2002 p. 7) arranges these tools along a continuum from less automated (human translation) to more automated (machine translation), with CAT positioned in the middle. In the human translation rubric, she includes, for example, word processors and spell checkers, and in CAT, translation memory, corpus analysis tools, terminology management systems, data capture tools, localisation and web-page translation tools, and diagnostic tools. The MT rubric includes only machine translation systems. This extensive list is evidence of how technologised the translation profession is. For the sake of clarity throughout this chapter, we refer to translation technology broadly speaking as Computer-Aided Translation -CAT. Where machine translation is specifically meant, we use that term.Likewise, when we want to draw attention to a specific type of tool, we use the exact term, e.g. terminology management tool or translation memory (TM).Over the last decades, parts of the translation profession have moved from deploying hardly any technology (in the 1980s), to embracing of Translation Memory and Terminology Management (in the 1990s), to the introduction of MT and its convergence with TM tools.Industry commentators predict a move towards Fully-Automatic Useful Translation -or FAUT -by 2030 (Massardo and van der Meer 2017). Currently, translators are still expected to produce high quality translation and that is often done with the aid of CAT tools. For this reason, it is important that translation technology is firmly embedded in the translator training curriculum. As Bowker (2002) points out, knowledge of CAT increases employability of graduates, but there are additional benefits to the teaching of translation technology: students can become more attuned to their own and to peer approaches to translation, data is created for research into translation, and reflections on the impact of technology on process, product and profession can be generated (ibid).This chapter will first discuss early considerations on teaching translation technology. We select a subset of examples to give an overview of what these early considerations entailed. A number of formal translator competence models are examined so as to illustrate the place of translation technology in these models. Next, we provide a synopsis of research concerns relating to translation technology. Then, we review the pedagogical approaches adopted these days for CAT teaching before turning to conclusions, where we outline curre...

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“…Open standards promote tool interoperability, enabling translators to use whatever tool they choose without the worry of losing data. We help achieve this goal by promoting and implementing open standards and technology (Fl orez and Alcina, 2011).…”

Section: Koha Reviewmentioning

confidence: 99%

Translation strategies of Koha for multilingual interface management

Saha¹,

Mandal²

2022

LHTN

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Purpose The automation of libraries has made a significant difference in the quality of service. All libraries seek to improve the quality of their services, and the library seems to be a frequent target for modernization efforts throughout the globe. Local dialects need specific translations to use library management software. A variety of languages are available to create open-source techniques. The integrated library management system Koha is gaining traction. The Koha software has been translated and made accessible to a worldwide audience in many languages. Design/methodology/approach This experiment was based on a controlled setting and a realistic observation of the Koha translation process. A sample of a population is selected to study and draw conclusions about the entire population. Findings Results are based on a statistical report made available on the Koha translation site for the gathering of sample data, which is based on sample data that has been collected and brought to light. This analysis demonstrates how to translate Koha software on a pootle server step by step using sting data inputs on different po files accessible in translation databases. Originality/value The authors of this paper explain the procedure of translating Koha software and provide a global overview of Koha software translation into different languages throughout the world. Therefore, it can be expected that the importance of Koha software will increase tremendously for the people of different languages through the method of translation.

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Free/Open-Source Software for the Translation Classroom

Cited by 11 publications

References 4 publications

The Routledge Handbook of Translation and Education

The Routledge Handbook of Translation and Education

Translation and technology

Translation strategies of Koha for multilingual interface management

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