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Translators' Tool
The Translator’s Tool Box A Computer Primer for Translators by Jost Zetzsche Version 9, December 2010 Copyright © 2010 International Writers’ Group, LLC. All rights reserved. This document, or any part thereof, may not be reproduced or transmitted electronically or by any other means without the prior written permission of International Writers’ Group, LLC. ABBYY FineReader and PDF Transformer are copyrighted by ABBYY Software House. Acrobat, Acrobat Reader, Dreamweaver, FrameMaker, HomeSite, InDesign, Illustrator, PageMaker, Photoshop, and RoboHelp are registered trademarks of Adobe Systems Inc. Acrocheck is copyrighted by acrolinx GmbH. Acronis True Image is a trademark of Acronis, Inc. Across is a trademark of Nero AG. AllChars is copyrighted by Jeroen Laarhoven. ApSIC Xbench and Comparator are copyrighted by ApSIC S.L. Araxis Merge is copyrighted by Araxis Ltd. ASAP Utilities is copyrighted by eGate Internet Solutions. Authoring Memory Tool is copyrighted by Sajan. Belarc Advisor is a trademark of Belarc, Inc. Catalyst and Publisher are trademarks of Alchemy Software Development Ltd. ClipMate is a trademark of Thornsoft Development. ColourProof, ColourTagger, and QA Solution are copyrighted by Yamagata Europe. Complete Word Count is copyrighted by Shauna Kelly. CopyFlow is a trademark of North Atlantic Publishing Systems, Inc. CrossCheck is copyrighted by Global Databases, Ltd. Déjà Vu is a trademark of ATRIL Language Engineering, S.L. Docucom PDF Driver is copyrighted by Zeon Corporation. dtSearch is a trademark of dtSearch Corp. EasyCleaner is a trademark of ToniArts. ExamDiff Pro is a trademark of Prestosoft. EmEditor is copyrighted by Emura Software inc. Error Spy is copyrighted by D.O.G. GmbH. FileHippo is copyrighted by FileHippo.com. -
SDL Trados Studio 2017 Installation Guide
SDL Trados Studio 2017 Installation Guide Installation Guide SDL Trados Studio 2017 SR1 July 2017 ii Installation Guide A Legal notice 0 Legal notice Copyright and trademark information relating to this product release. Copyright © 2000–2017 SDL Group. SDL Group means SDL PLC. and its subsidiaries and affiliates. All intellectual property rights contained herein are the sole and exclusive rights of SDL Group. All references to SDL or SDL Group shall mean SDL PLC. and its subsidiaries and affiliates details of which can be obtained upon written request. All rights reserved. Unless explicitly stated otherwise, all intellectual property rights including those in copyright in the content of this website and documentation are owned by or controlled for these purposes by SDL Group. Except as otherwise expressly permitted hereunder or in accordance with copyright legislation, the content of this site, and/or the documentation may not be copied, reproduced, republished, downloaded, posted, broadcast or transmitted in any way without the express written permission of SDL. SDL Trados Studio is a registered trademark of SDL Group. All other trademarks are the property of their respective owners. The names of other companies and products mentioned herein may be the trade- marks of their respective owners. Unless stated to the contrary, no association with any other company or product is intended or should be inferred. This product may include open source or similar third-party software, details of which can be found by clicking the following link: Acknowledgments on page 0 . Although SDL Group takes all reasonable measures to provide accurate and comprehensive information about the product, this information is provided as-is and all warranties, conditions or other terms concerning the documentation whether express or implied by statute, common law or otherwise (including those relating to satisfactory quality and fitness for purposes) are excluded to the extent permitted by law. -
SDL Trados Studio Intermediate.Book
%&'-2-29$:),&*3 !"#$%&'()*$!+,(-)$.//0$ 12+3&43(-'+3$5)&$%&'2*6'+)&* 122)7'+-)2$"36-73&3(8 Table of Contents TABLE OF CONTENTS Chapter 1: Introduction About this Training Workbook ... 1-2 Chapter 2: Creating Projects Creating a New Project ... 2-2 Project Details ... 2-2 Project Languages ... 2-2 Project Files ... 2-3 Translation Memories ... 2-4 AutoSuggest Dictionaries ... 2-5 Termbases ... 2-5 Project Preparation ... 2-6 Chapter 3: Translating the Project Files Viewing the Pre-translate Files Report ... 3-2 Source Document Overview ... 3-2 Display Filter ... 3-3 Find/Replace ... 3-3 Display Filtering for Strings ... 3-4 Multiple TM Search ... 3-5 Changing the Segmentation ... 3-5 Splitting Segments ... 3-5 Merging Segments ... 3-6 The Go To Function ... 3-6 Finalizing the Project ... 3-7 Exporting the Target Files ... 3-8 Marking the Project as Complete ... 3-9 Chapter 4: File Type Settings What are File Type Settings? ... 4-2 Microsoft PowerPoint File Type Settings ... 4-2 Microsoft Word File Type Settings ... 4-3 Chapter 5: Automated Quality Assurance (QA) What is Automated Quality Assurance (QA)? ... 5-2 Configuring QA Options ... 5-2 Interactive Verification ... 5-3 Batch Verification ... 5-4 Chapter 6: Translation Memory Fields What are TM Fields? ... 6-2 Defining TM Fields ... 6-2 Applying Fields to TUs ... 6-3 Filtering TUs ... 6-4 Filter Penalties ... 6-5 Hard Filtering ... 6-8 SDL TRADOS STUDIO 2009 INETRMEDIATEFOR TRANSLATORS 1 SDL plc Confidential. Copyright ¤2009 SDL plc. Table of Contents Chapter 7: DTP Formats What are DTP Formats? ... 7-2 Translating DTP Files .. -
Webinar: Translation Memory and Machine Translation
Legal Services National Technology Assistance Project www.lsntap.org Webinar: Translation Memory and Machine Translation Jillian Theil, Claudia Johnson, Diana Glick, Leland Sampson, Maria Mindlin and Sart Rowe Machine Translation The Perils of Google Translate Typically Google translate tool will give you broken language translations. You might be able to tell what the translation is saying but it will be grammatically incorrect and use wrong words. The key when creating something like a sign, is to use more visuals and less words. Arrow signs, people icons, Dollar signs etc. Check for existing resources - look for signs that already exist and you can see what they are doing. Consider using visuals for wayfinding - arrows, etc Conduct Plain language review and editing Ensure your signage is readable (font etc) Back translation is running a translation back into english to ensure it is correct. Case Study: Using chinese as an example: the word for computer mouse is a different word than the animal mouse - so google translate will translate a sentence about this wrong. If possible obtain a legal review of the translation from an attorney / translator. Is it Ever OK to use Google Translate? It’s ok for informal communications, for general understanding or when you are in a complete bind and have no other options. Translation Workflow for Lingotek and People’s Law Library 1. Volunteer contacts them, and they qualify that volunteer 2. The volunteer selects an article to translate and that article is uploaded to lingotek 3. The volunteer performs the actual translation and then the article is assigned to a volunteer reviewer who is a licensed attorney 4. -
Table of Contents
User Guide Copyright © Wordfast, LLC 2019. All rights reserved. Table of Contents Release Notes Summary........................................................................................................................................ 7 New Features....................................................................................................................................................7 Improvements....................................................................................................................................................7 Fixed Issues...................................................................................................................................................... 7 1 About this Guide................................................................................................................................................ 9 Conventions.......................................................................................................................................................9 Typographical............................................................................................................................................ 9 Icons.......................................................................................................................................................... 9 2 About Wordfast Pro......................................................................................................................................... 10 3 Get Started....................................................................................................................................................... -
Introducing a Cat Tool to Translate: Wordfast
Indonesian Journal of English Language Studies Vol. 2, Number 1, February 2016 Introducing a Cat Tool to Translate: Wordfast Fika Apriliana, Ardiyarso Kurniawan, Sandy Ferianda, and Fidelis Chosa Kastuhandani ABSTRACT This article aims at introducing CAT tools to those prospective translators who are familiar with with the tools for the first time. Some of the CAT tools must be paid for while some others are free. This article is to inform the readers about the list of free and paid CAT tools, advantages and disadvantages of those tools. One does not need special training for using a free CAT tool while using the paid CAT tools, one needs some special preparation. This article is going to focus more on Wordfast Pro as the second most widely used CAT tools after SDLTrados. Wordfast Pro is a paid software the functioning of which is based on the creation of a Translation Memory which facilitates and speeds up the translator's work. This article is going to briefly explain the advantages of Wordfast Pro and the steps of using it. The translation example is presented to reveal the different translation results of Wordfast Pro as a paid CAT tool and OmegaT as a free CAT tool. Therefore, the article will facilitate those who intend to know more about Wordfast Pro and start using it. Keywords: CAT tools, Wordfast Pro, OmegaT INTRODUCTION When using CAT tools, it is Computerized translation has attracted immediately clear which parts of the text the attention of a large number of people must be translated; the unchanging who work directly or indirectly on portions are transferred accurately and translational issues such as professional directly; the time savings due to repeating translators, teachers, linguists, researchers expressions is huge; and expressions are and future translators. -
Omegat 2.1 Manual De Usuario
Acerca de OmegaT ― OmegaT 2.1 Manual de Usuario Acerca de OmegaT OmegaT es una herramienta multiplataforma para la Traducción Asistida por Ordenador, es software libre y cuenta con los siguientes atractivos: Memoria de traducción OmegaT recuerda sus traducciones en una memoria de traducción. Al mismo tiempo, puede utilizar referencias a memorias de traducción anteriores. Las memorias de traducción pueden ser muy útiles para una traducción con una variedad de repeticiones o segmentos de texto razonablemente similares. OmegaT utiliza memorias de traducción para recordar sus traducciones anteriores y sugerirle la traducción más probable para el texto en que está trabajando. Las memorias de traducción pueden ser muy útiles cuando necesita actualizar un documento, que ya ha sido traducido. Sin modificación se seguirá traduciendo y las oraciones actualizadas se muestran con una versión anterior de la misma sentencia que la traducción más probable. Las modificaciones al documento original, por lo tanto, serán tratadas con mayor facilidad. Si está utilizando memorias de traducción creadas previamente, por ejemplo, que le ha asignado la agencia de traducción o su cliente, OmegaT será capaz de utilizarlas como memorias de referencia. OmegaT utiliza el formato de archivo TMX estándar para almacenar y acceder a las memorias de traducción, lo cual garantiza que usted puede intercambiar su material con otras aplicaciones de traducción CAT, que soporten este formato de archivo. Gestión de terminología La gestión de la terminología es importante para la consistencia de la traducción. OmegaT utiliza glosarios que contienen la traducción de palabras sueltas o pequeñas frases, una especie de diccionario bilingüe simplificado para un dominio específico. -
Omegat CAT- Aloittelijoille Kirjoittaneet Susan Welsh & Marc Prior Suomentanut Taija Salo 1
OmegaT CAT- aloittelijoille kirjoittaneet Susan Welsh & Marc Prior Suomentanut Taija Salo 1 Tekijänoikeus Tekijänoikeus © 2009 Susan Welsh ja Marc Prior Tätä dokumenttia saa kopioida, levittää ja/tai muokata Free Software Foundationin julkaiseman GNU Free Documentation Licensen version 1.2 tai minkä hyvänsä myöhemmän version mukaisesti; vakiolukuja (”Invariant Sections”), etukansitekstejä (”Front Cover Texts”) ja takakansitekstejä ("Back- Cover Texts") ei saa käyttää. Kopio lisenssistä sisältyy osaan nimeltä "GNU Free Documentation License". Kannen kuva on peräisin osoitteesta www.freeclipartnow.com ja on asetettu vapaasti yleiseen käyttöön. Viimeisin päivitys tehty tammikuussa 2009. Viittaa OmegaT:n versioon 2.0.0. Kuvakaappaukset OmegaT:n versioista 1.6.0 ja 2.0.0. 2 Sisällysluettelo Tekijänoikeus......................................................................................................1 Esittely................................................................................................................3 Kenelle opas on suunnattu.......................................................................3 Mikä on CAT-työkalu, ja mitä hyötyä niistä on?......................................3 1. OpenOffice.orgin lataaminen..........................................................................3 2. OmegaT:n lataaminen.....................................................................................4 3. OmegaT:n asentaminen..................................................................................4 4. OmegaT:n käyttöliittymä................................................................................4 -
Translate's Localization Guide
Translate’s Localization Guide Release 0.9.0 Translate Jun 26, 2020 Contents 1 Localisation Guide 1 2 Glossary 191 3 Language Information 195 i ii CHAPTER 1 Localisation Guide The general aim of this document is not to replace other well written works but to draw them together. So for instance the section on projects contains information that should help you get started and point you to the documents that are often hard to find. The section of translation should provide a general enough overview of common mistakes and pitfalls. We have found the localisation community very fragmented and hope that through this document we can bring people together and unify information that is out there but in many many different places. The one section that we feel is unique is the guide to developers – they make assumptions about localisation without fully understanding the implications, we complain but honestly there is not one place that can help give a developer and overview of what is needed from them, we hope that the developer section goes a long way to solving that issue. 1.1 Purpose The purpose of this document is to provide one reference for localisers. You will find lots of information on localising and packaging on the web but not a single resource that can guide you. Most of the information is also domain specific ie it addresses KDE, Mozilla, etc. We hope that this is more general. This document also goes beyond the technical aspects of localisation which seems to be the domain of other lo- calisation documents. -
JEZIK: a Cognitive Translation System Employing a Single, Visible Spectrum Tracking Detector
Brigham Young University BYU ScholarsArchive Student Works 2016-06-01 JEZIK: A Cognitive Translation System Employing a Single, Visible Spectrum Tracking Detector Davor Bzik Brigham Young University - Provo, [email protected] Follow this and additional works at: https://scholarsarchive.byu.edu/studentpub Part of the Electrical and Computer Engineering Commons BYU ScholarsArchive Citation Bzik, Davor, "JEZIK: A Cognitive Translation System Employing a Single, Visible Spectrum Tracking Detector" (2016). Student Works. 175. https://scholarsarchive.byu.edu/studentpub/175 This Peer-Reviewed Article is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Student Works by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. JEZIK: A Cognitive Translation System Employing a Single, Visible Spectrum Tracking Detector Davor Bzik A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science James K. Archibald, Chair D. J. Lee Doran Wilde Department of Electrical and Computer Engineering Brigham Young University June 2016 Copyright © 2016 Davor Bzik All Rights Reserved ABSTRACT JEZIK: A Cognitive Translation System Employing a Single, Visible Spectrum Tracking Detector Davor Bzik Department of Electrical and Computer Engineering, BYU Master of Science A link between eye movement mechanics and the mental processing associated with text reading has been established in the past. The pausing of an eye gaze on a specific word within a sentence reflects correctness or fluency of a translated text. A cognitive translation system has been built employing a single, inexpensive web camera without the use of infrared illumination. -
Use of E-Learning in the Training of Professionals in the Knowledge Society
Use of E-learning in the Training of Professionals in the Knowledge Society University of Silesia in Katowice, Faculty of Ethnology and Sciences of Education in Cieszyn Use of E-learning in the Training of Professionals in the Knowledge Society Monograph Scientific Editor Eugenia Smyrnova-Trybulska Cieszyn - Katowice 2010 Reviewer Maciej Tanaś © Copyright by University of Silesia in Katowice, Poland, 2010 ISBN: 978-83-60071-30-4 Printing and binding: Publisher: Katowice – Rybnik http://www.studio-noa.pl for University of Silesia in Katowice Faculty of Ethnology and Sciences of Education in Cieszyn TABLE OF CONTENTS Introduction 9 I. Theoretical and Methodical Aspects of Distance Learning 13 Antonio Dos Reis (Portugal) E-Learning –The E-Volution…………………………..……………. 13 Jana Šarmanová, Kateřina Kostolányová, Ondřej Takács (Czech Republic) Intelligent Virtual Teacher ………………………………………….. 33 Halina Widła, Izabela Mrochen, Ewa Półtorak (Poland) Development of Education with the Use of ICT (Information and Communication Technologies) Implemented in Modern Foreign Language Studies .………………………….………………………… 47 Leszek Rudak (Poland) Spot-The-Difference – Traditional Education Vs. E-Education…… 75 Antoni Pardała (Poland) Methods of Mathematics Teaching vs. Distance Education ……..... 91 Jana Šarmanová, Kateřina Kostolányová (Czech Republic) Methodology for Creating Adaptive Teaching Support…………….. 105 II. Practical Aspects of Distance Learning. Distance Learning and Lifelong Learning:………………………………… 117 Franz Feiner, Anton Lanz (Austria) The Concept of EPICT (European Pedagogical ICT Licence) and the Implementation in Austria, KPH Graz………….......…….……. 117 Eugenia Smyrnova-Trybulska (Poland) Use of Distance Learning in the Training of Professionals in the Knowledge Society……………………………………………………. 137 6 Table of Contents Anita Dąbrowicz-Tlałka, Hanna Guze (Poland) Supporting First Year Students Through Blended-Learning - Planning Effective Courses and Learner Support…………...……. -
Reciprocal Enrichment Between Basque Wikipedia and Machine Translation
Reciprocal Enrichment Between Basque Wikipedia and Machine Translation Inaki˜ Alegria, Unai Cabezon, Unai Fernandez de Betono,˜ Gorka Labaka, Aingeru Mayor, Kepa Sarasola and Arkaitz Zubiaga Abstract In this chapter, we define a collaboration framework that enables Wikipe- dia editors to generate new articles while they help development of Machine Trans- lation (MT) systems by providing post-edition logs. This collaboration framework was tested with editors of Basque Wikipedia. Their post-editing of Computer Sci- ence articles has been used to improve the output of a Spanish to Basque MT system called Matxin. For the collaboration between editors and researchers, we selected a set of 100 articles from the Spanish Wikipedia. These articles would then be used as the source texts to be translated into Basque using the MT engine. A group of volunteers from Basque Wikipedia reviewed and corrected the raw MT translations. This collaboration ultimately produced two main benefits: (i) the change logs that would potentially help improve the MT engine by using an automated statistical post-editing system , and (ii) the growth of Basque Wikipedia. The results show that this process can improve the accuracy of an Rule Based MT (RBMT) system in nearly 10% benefiting from the post-edition of 50,000 words in the Computer Inaki˜ Alegria Ixa Group, University of the Basque Country UPV/EHU, e-mail: [email protected] Unai Cabezon Ixa Group, University of the Basque Country, e-mail: [email protected] Unai Fernandez de Betono˜ Basque Wikipedia and University of the Basque Country, e-mail: [email protected] Gorka Labaka Ixa Group, University of the Basque Country, e-mail: [email protected] Aingeru Mayor Ixa Group, University of the Basque Country, e-mail: [email protected] Kepa Sarasola Ixa Group, University of the Basque CountryU, e-mail: [email protected] Arkaitz Zubiaga Basque Wikipedia and Queens College, CUNY, CS Department, Blender Lab, New York, e-mail: [email protected] 1 2 Alegria et al.