DOCSLIB.ORG

Report About a Survey-Based Research on Machine Translation Post-Editing

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Report About a Survey-Based Research on Machine Translation Post-Editing REPORT ABOUT A SURVEY‐BASED RESEARCH ON MACHINE TRANSLATION POST‐EDITING Common ground and gaps between LSCs, linguists and trainers Clara Ginovart Cid Universitat Pompeu Fabra Barcelona 22/12/2020 This report presents the findings of a survey‐based research based on three online questionnaires. It is part of the Industrial Doctorates research n° “2017 DI 010”. One questionnaire is addressed to Language Service Companies (LSCs) that sell or use as a process machine translation post‐editing (MTPE, also abbreviated PEMT). It received 66 submissions. Another questionnaire is addressed to individual linguists (inhouse or freelance) who accept MTPE assignments, and it received 141 submissions. Finally, the third questionnaire is addressed to European master or postgraduate PE educators, and it received 54 submissions. The survey‐based research is completed in between the end of 2018 and the beginning of 2019. In this report, the content of each questionnaire is presented in the first section (1. Content of the Questionnaires). In the second section (2. Results of the Submissions), the data of their findings is displayed, where the percentages have been rounded off. The three related publications where the findings are discussed are cited below: Ginovart Cid C, Colominas C, Oliver A. Language industry views on the profile of the post‐ editor. Translation Spaces. 2020 Jan 14. DOI:10.1075/ts.19010.cid Ginovart Cid C. The Professional Profile of a Post‐editor according to LSCs and Linguists: a Survey‐Based Research. HERMES ‐ Journal of Language and Communication in Business, 60, 171‐190. 2020 Jul 08. DOI:10.7146/hjlcb.v60i0.121318 Ginovart Cid C, Oliver A. (2020). The post‐editor’s skill set according to industry, trainers, and linguists. In J. Porsiel (Ed.), Maschinelle Übersetzung für Übersetzungsprofis (pp.305‐ 322). Berlin: Bundesverband der Dolmetscher und Übersetzer (BDÜ). Ginovart Cid C, Colominas C. (2020). The MT post‐editing skill set: course descriptions and educators’ thoughts. In M. Koponen, B. Mossop, I. S. Robert, G. Scocchera (Eds.), Translation Revision and Post‐editing. Industry Practices and Cognitive Processes (pp. 226‐ 246). Routledge. DOI: 10.4324/9781003096962 1 INDEX 1. CONTENT OF THE QUESTIONNAIRES ............................................................................................................. 3 A. QUESTIONNAIRE TO LSCS ........................................................................................................................................ 3 Section 1 ‐ Basic Information ................................................................................................................................ 3 Section 2 ‐ MTPE Projects ...................................................................................................................................... 4 Section 3 ‐ Client‐TSP Agreement [only visible to LSCs] ........................................................................................ 5 Section 4 ‐ Current Trends in MTPE Projects ......................................................................................................... 5 Section 5 ‐ Training in Machine Translation Post‐editing ................................................................................... 12 Section 6 ‐ Technology & Tools ........................................................................................................................... 14 Section 7 ‐ Feelings & Thoughts .......................................................................................................................... 17 B. QUESTIONNAIRE TO LINGUISTS ............................................................................................................................... 19 Section 1 ‐ Basic Information .............................................................................................................................. 19 Section 2 ‐ MTPE (machine translation post‐editing) Projects ............................................................................ 20 Section 3 ‐ Certifications ..................................................................................................................................... 21 Section 4 ‐ Current Trends in MTPE Projects ....................................................................................................... 21 Section 5 ‐ Training & Education ......................................................................................................................... 28 Section 6 ‐ Technology & Tools ........................................................................................................................... 31 Section 7 ‐ Feelings & Thoughts .......................................................................................................................... 33 C. QUESTIONNAIRE TO TRAINERS ................................................................................................................................ 35 Section 1 ‐ Basic Information .............................................................................................................................. 35 Section 2 ‐ Standards & Certifications ................................................................................................................. 36 Section 3 ‐ Current trends in MTPE teaching....................................................................................................... 36 Section 4 ‐ Translation Technology Tools ............................................................................................................ 41 Section 5 ‐ Feelings & Thoughts .......................................................................................................................... 43 2. RESULTS OF THE SUBMISSIONS ................................................................................................................... 44 A. QUESTIONNAIRE TO LSCS ...................................................................................................................................... 44 Section 1 ‐ Basic Information .............................................................................................................................. 44 Section 2 ‐ MTPE Projects .................................................................................................................................... 45 Section 3 ‐ Client‐TSP Agreement [only visible to LSCs] ...................................................................................... 46 Section 4 ‐ Current Trends in MTPE Projects ....................................................................................................... 47 Section 5 ‐ Training in Machine Translation Post‐editing ................................................................................... 56 Section 6 ‐ Technology & Tools ........................................................................................................................... 58 Section 7 ‐ Feelings & Thoughts .......................................................................................................................... 61 B. QUESTIONNAIRE TO LINGUISTS ............................................................................................................................... 62 Section 1 ‐ Basic Information .............................................................................................................................. 62 Section 2 ‐ MTPE (machine translation post‐editing) Projects ............................................................................ 64 Section 3 ‐ Certifications ..................................................................................................................................... 65 Section 4 ‐ Current Trends in MTPE Projects ....................................................................................................... 65 Section 5 ‐ Training & Education ......................................................................................................................... 76 Section 6 ‐ Technology & Tools ........................................................................................................................... 79 Section 7 ‐ Feelings & Thoughts .......................................................................................................................... 83 C. QUESTIONNAIRE TO TRAINERS ................................................................................................................................ 83 Section 1 ‐ Basic Information .............................................................................................................................. 83 Section 2 ‐ Standards & Certifications ................................................................................................................. 85 Section 3 ‐ Current trends in MTPE teaching....................................................................................................... 86 Section 4 ‐ Translation Technology Tools ............................................................................................................ 92 Section 5 ‐ Feelings & Thoughts .......................................................................................................................... 94 2 1. Content of the Questionnaires a. Questionnaire to LSCs Title: Machine Translation & Post‐editing in the Industry URL: https://form.jotformeu.com/82863740587368 Description: This research is carried out within
Load more

Recommended publications
  • Dissertationes Legilinguisticae 11 Legilinguistic Studies 11
    Dissertationes legilinguisticae 11 Legilinguistic studies 11 Studies in Legal Language and Communication Dissertationes legilinguisticae Legilinguistic studies Studies in Legal Language and Communication Editor-in-chief: Aleksandra Matulewska Co-editors: Karolina Gortych-Michalak Editor of the volume: Paulina Nowak-Korcz © Copyright the Author and Institute of Linguistics of Adam Mickiewicz University Volume 11 ADVISORY BOARD Marcus Galdia Fernando Prieto Ramos Hannes Kniffka Artur Kubacki Maria Teresa Lizisowa Judith Rosenhouse Reviewer: Onorina Botezat ISBN 978-83-65287-50-2 Wydawnictwo Naukowe CONTACT Poznań 2017 2 Dissertationes legilinguisticae 11 Legilinguistic studies 11 Studies in Legal Language and Communication Methodology for Interlingual Comparison of Legal Terminology. Towards General Legilinguistic Translatology Paulina Kozanecka Aleksandra Matulewska Paula Trzaskawka Wydawnictwo Naukowe CONTACT Poznań 2017 4 Table of Contents Acknowledgements ..................................................................... 7 Abbreviations .............................................................................. 9 Introduction ............................................................................. 11 I Purpose and Scope of Research ......................................... 11 II Research Methods.. ............................................................ 14 III Research Material.. ............................................................ 14 IV Research Hypotheses ........................................................
    [Show full text]
  • Context in Neural Machine Translation: a Review of Models and Evaluations
    Context in Neural Machine Translation: A Review of Models and Evaluations Andrei Popescu-Belis University of Applied Sciences of Western Switzerland (HES–SO) School of Management and Engineering Vaud (HEIG–VD) Route de Cheseaux 1, CP 521 1401 Yverdon-les-Bains, Switzerland [email protected] January 29, 2019 Abstract features when translating entire texts, especially when this is vital for correct translation. Taking textual con- This review paper discusses how context has been text into account1 means modeling long-range depen- used in neural machine translation (NMT) in the dencies between words, phrases, or sentences, which past two years (2017–2018). Starting with a brief are typically studied by linguistics under the topics of retrospect on the rapid evolution of NMT models, discourse and pragmatics. When it comes to transla- the paper then reviews studies that evaluate NMT tion, the capacity to model context may improve certain output from various perspectives, with emphasis on those analyzing limitations of the translation of translation decisions, e.g. by favoring a better lexical contextual phenomena. In a subsequent version, choice thanks to document-level topical information, the paper will then present the main methods that or by constraining pronoun choice thanks to knowledge were proposed to leverage context for improving about antecedents. translation quality, and distinguishes methods that This review paper puts into perspective the signif- aim to improve the translation of specific phenom- icant amount of studies devoted in 2017 and 2018 to ena from those that consider a wider unstructured improve the use of context in NMT and measure these context.
    [Show full text]
  • Final Study Report on CEF Automated Translation Value Proposition in the Context of the European LT Market/Ecosystem
    Final study report on CEF Automated Translation value proposition in the context of the European LT market/ecosystem FINAL REPORT A study prepared for the European Commission DG Communications Networks, Content & Technology by: Digital Single Market CEF AT value proposition in the context of the European LT market/ecosystem Final Study Report This study was carried out for the European Commission by Luc MEERTENS 2 Khalid CHOUKRI Stefania AGUZZI Andrejs VASILJEVS Internal identification Contract number: 2017/S 108-216374 SMART number: 2016/0103 DISCLAIMER By the European Commission, Directorate-General of Communications Networks, Content & Technology. The information and views set out in this publication are those of the author(s) and do not necessarily reflect the official opinion of the Commission. The Commission does not guarantee the accuracy of the data included in this study. Neither the Commission nor any person acting on the Commission’s behalf may be held responsible for the use which may be made of the information contained therein. ISBN 978-92-76-00783-8 doi: 10.2759/142151 © European Union, 2019. All rights reserved. Certain parts are licensed under conditions to the EU. Reproduction is authorised provided the source is acknowledged. 2 CEF AT value proposition in the context of the European LT market/ecosystem Final Study Report CONTENTS Table of figures ................................................................................................................................................ 7 List of tables ..................................................................................................................................................
    [Show full text]
  • Anatomy of a Multilingual IFU
    Anatomy of a Multilingual IFU A project lifecycle, from content creation to final print. September 26, 2019 www.idemtranslations.com EXECUTIVE BRIEF Anatomy of a Multilingual IFU Ready to commercialize your product abroad? With regulatory approvals in the works, it’s time to plan the next step in your product distribution cycle. For many medical devices and biotech products, this means creating a multilingual IFU that ships directly with your product around the globe. This executive brief walks you through the decision-making steps necessary to plan and execute an in-box multilingual IFU, from drafting the content to sealing the box. A bit of advance planning will go a long way to ensuring that your product launch is stress-free. Step #1: Content Clearly, you need to draft your English IFU content as the first step on the road to a multilingual IFU. When possible, it is worth spending a little extra effort on the IFU content to ensure it is crystal-clear before the verbiage is locked down. This linguistic clarity will save you time (and money) in the future. Here are several easy things that you can do that pay off future dividends in terms of managing a multilingual IFU: 1. use international measurements Outside the US, metric units of measurement (mm, cm, m, ml) and temperatures in Celsius are far more common than feet, inches, and degrees Fahrenheit. If you only include the typical US measurements, your translators will need to ask how you wish to convert the numbers for use abroad. By including the international measurements (either alone or in tandem with the US measurements), you can perform those conversions up front and avoid questions during the translation process.
    [Show full text]
  • A Comparison of Free Online Machine Language Translators Mahesh Vanjani1,* and Milam Aiken2 1Jesse H
    Journal of Management Science and Business Intelligence, 2020, 5–1 July. 2020, pages 26-31 doi: 10.5281/zenodo.3961085 http://www.ibii-us.org/Journals/JMSBI/ ISBN 2472-9264 (Online), 2472-9256 (Print) A Comparison of Free Online Machine Language Translators Mahesh Vanjani1,* and Milam Aiken2 1Jesse H. Jones School of Business, Texas Southern University, 3100 Cleburne Street, Houston, TX 77004 2School of Business Administration, University of Mississippi, University, MS 38677 *Email: [email protected] Received on 5/15/2020; revised on 7/25/2020; published on 7/26/2020 Abstract Automatic Language Translators also referred to as machine translation software automate the process of language translation without the intervention of humans While several automated language translators are available online at no cost there are large variations in their capabilities. This article reviews prior tests of some of these systems, and, provides a new and current comprehensive evaluation of the following eight: Google Translate, Bing Translator, Systran, PROMT, Babylon, WorldLingo, Yandex, and Reverso. This re- search could be helpful for users attempting to explore and decide which automated language translator best suits their needs. Keywords: Automated Language Translator, Multilingual, Communication, Machine Translation published results of prior tests and experiments we present a new and cur- 1 Introduction rent comprehensive evaluation of the following eight electronic automatic language translators: Google Translate, Bing Translator, Systran, Automatic Language Translators also referred to as machine translation PROMT, Babylon, WorldLingo, Yandex, and Reverso. This research software automate the process of language translation without the inter- could be helpful for users attempting to explore and decide which auto- vention of humans.
    [Show full text]
  • Machine Translation in the Field of Law: a Study of the Translation of Italian Legal Texts Into German
    Comparative Legilinguistics vol. 37/2019 DOI: http://dx.doi.org/10.14746/cl.2019.37.4 MACHINE TRANSLATION IN THE FIELD OF LAW: A STUDY OF THE TRANSLATION OF ITALIAN LEGAL TEXTS INTO GERMAN EVA WIESMANN, Prof., PhD Department of Interpreting and Translation, University of Bologna Corso della Repubblica 136, 47121 Forlì, Italy [email protected] ORCID: https://orcid.org/0000-0001-9414-8038 Abstract: With the advent of the neural paradigm, machine translation has made another leap in quality. As a result, its use by trainee translators has increased considerably, which cannot be disregarded in translation pedagogy. However, since legal texts have features that pose major challenges to machine translation, the question arises as to what extent machine translation is now capable of translating legal texts or at least certain types of legal text into another legal language well enough so that the post- editing effort is limited, and, consequently, whether a targeted use in translation pedagogy can be considered. In order to answer this question, DeepL Translator, a machine translation system, and MateCat, a CAT system that integrates machine translation, were tested. The test, undertaken at different times and without specific translation memories, provided Eva Wiesmann: Machine Translation in… for the translation of several legal texts of different types utilising both systems, and was followed by systematisation of errors and evaluation of translation results. The evaluation was carried out according to the following criteria: 1) comprehensibility and meaningfulness of the target text; and 2) correspondence between source and target text in consideration of the specific translation situation.
    [Show full text]
  • International Standard Iso 17100:2015(E)
    INTERNATIONAL ISO STANDARD 17100 First edition 2015-05-01 Translation services — Requirements for translation services Services de traduction — Exigences relatives aux services de traduction Reference number ISO 17100:2015(E) Licensed to Nubveto / Eva Feldbrugge ([email protected]) ISO Store Order: OP-257234 / Downloaded: 2017-12-18 Single user licence only, copying and networking prohibited. © ISO 2015 ISO 17100:2015(E) COPYRIGHT PROTECTED DOCUMENT © ISO 2015, Published in Switzerland All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized otherwise in any form orthe by requester. any means, electronic or mechanical, including photocopying, or posting on the internet or an intranet, without prior written permission. Permission can be requested from either ISO at the address below or ISO’s member body in the country of Ch. de Blandonnet 8 • CP 401 ISOCH-1214 copyright Vernier, office Geneva, Switzerland Tel. +41 22 749 01 11 Fax +41 22 749 09 47 www.iso.org [email protected] Licensed to Nubveto / Eva Feldbrugge ([email protected]) ISO Store Order: OP-257234 / Downloaded: 2017-12-18 Single user licence only, copying and networking prohibited. ii © ISO 2015 – All rights reserved ISO 17100:2015(E) Contents Page Foreword ..........................................................................................................................................................................................................................................v Introduction ................................................................................................................................................................................................................................vi
    [Show full text]
  • ISO Standards and Working Processes at the United Nations Language Services: a Comparison
    ISO standards and working processes at the United Nations language services: a comparison María Barros Senior Reviser, STS/DGACM, UNHQ United Nations Sabbatical Leave Programme 2017 Abstract International standards, in particular those developed by the International Organization for Standardization (ISO), are a universally recognized means of guaranteeing service quality. In the translation and language industries, the demand for ISO-certified services has been growing steadily since the publication of ISO 17100, on requirements for translation service providers, which addresses translation-specific processes that are essential for ensuring quality. ISO 17100 covers a wide range of aspects, from the competences of translators, revisers and project managers, to technology and quality management requirements, or the need to assess client satisfaction and take corrective action if necessary. All these tasks are performed by the language services of the 1 | Page United Nations, which therefore can benefit from an in-depth analysis of both the standard requirements and the changes implemented by private sector providers that have obtained certification. The present study covers all the tasks included in ISO 17100, with a focus on improving and harmonizing existing working processes and suggesting their establishment where they are lacking. ACKNOWLEDGEMENTS: First of all, I would like to thank Professor Sue Ellen Wright, from Kent State University, for her collaboration, support and expert guidance in this study. I am also grateful to my colleagues from the Documentation Division of DGACM who kindly agreed to be interviewed and provided me with insights into the daily work of their units: Martine Azubuike (French Translation Service), Kieran Burns (English Translation Service), Luke Croll (Editing Section), José Carlos Fernández-Gancedo and Carmen Peris (Spanish Translation Service), Mario Gatti and Frank Scharm (German Translation Section), Pyotr Knyazev (Russian Translation Service) and Dexin Yuan (Chinese Translation Service).
    [Show full text]
  • Automated Translation in Typo3
    AUTOMATED TRANSLATION IN TYPO3 Whitepaper on Translating contents automatically using DeepL and Google Translate in TYPO3 backend by Georgy GE What is TYPO3? TYPO3 CMS is an Open Source Enterprise Content Management System with a large global community. TYPO3 is written in PHP scripting language and was initially authored by Dane Kasper Skårhøj in 1997. The standout features of TYPO3 is its diversity and modularity. It can keep running on multiple web servers like Apache, Nginx or IIS and over numerous operating systems such as Linux, Microsoft Windows, FreeBSD, Mac OS X and OS/2. TYPO3 provides the basis for modern content management that can be adapted by small business websites to large multi-lingual global enterprises portals. TYPO3 always keeps a check on the updated requirements of businesses and public institutions. TYPO3 is opted by small and medium enterprises and municipalities because of its license- cost-free open source approach. In addition to the basic set of interfaces, functions and modules, TYPO3's functionality spectrum can be implemented using extensions. TYPO3 allows users or website operators to upgrade the corresponding websites using a solid extensions framework, and helps to publish and deliver any form of content to multiple devices. During the course of development of a TYPO3 website, a developer can rely on a strong community and about 6,000 extensions that offer unlimited possibilities. Ph : +41 43 558 4360 E-mail: [email protected] Visit: www.pitsolutions.com 2 Why TYPO3? 1. No license cost TYPO3 is an open source software under the GNU General Public License with no license fee.
    [Show full text]
  • Translation Management Software : Summer 2020
    SUMMER 2020 Customer Success Report Translation Management Category Translation Management Category Translation management software is used by LSPs (language service providers) and freelance translators to handle and organize localization and translation projects. This platform is also called translation project management solution, though a number of applications go beyond offering just project management features. Translation software spans the whole translation text lifecycle; from source text entering to distributing the completed target text. The system offers a centralized translation hub that you can use to collaborate on and track translations. Many translation tools present inbuilt machine translation and computer-assisted translation functionality. These all-in-one applications enable users to plan and manage projects using a single platform. Similarly, some solutions offer capabilities like resource management, client management and client portals, and billing and invoicing. Some vendors also provide the services of professional translators to clients. SUMMER 2020 CUSTOMER SUCCESS REPORT Translation Management Category 2 Award Levels Customer Success Report Ranking Methodology The FeaturedCustomers Customer Success ranking is based on data from our customer reference platform, market presence, MARKET LEADER web presence, & social presence as well as additional data Vendor on FeaturedCustomers.com with aggregated from online sources and media properties. Our substantial customer base & market ranking engine applies an algorithm
    [Show full text]
  • Response to Rfp# Eq-052920-03
    RESPONSE TO RFP# EQ-052920-03 Translation services for Education Service Center, Region 10 (“Region 10 ESC”) Submitted by: Idea Language Services, LLC (dba Idea Translations) 8719 Evangel Drive, Springfield, Virginia 22153, USA Attn: Sergio Atristain, Director [email protected] www.ideatranslations.com (860) 781-6377 ATTACHMENT A: Requirements for Lead Agency Agreement To be administered by Equalis Group The following exhibits are used in evaluating and administering Lead Agency Agreements and are preferred by Equalis Group. Redlined copies of the exhibits should not be submitted with the response. Should a respondent be recommended for award, these exhibits will be negotiated and executed between Equalis Group and the respondent. Respondents must select one of the following options for submitting their response and submit this page only. X Respondent agrees to all terms and conditions outlined in each of the following exhibits Respondent wishes to negotiate directly with Equalis Group on terms and conditions outlined in each of the following exhibits. Negotiations will commence after sealed bids are opened and Region 10 has determined the respondent met all requirements in their response and may be eligible for award. • Equalis Group Exhibit A – EQUALIS GROUP RESPONSE FOR LEAD AGENCY AGREEMENT • Equalis Group Exhibit B – EQUALIS GROUP ADMINISTRATION AGREEMENT • Equalis Group Exhibit C – EQUALIS GROUP MASTER INTERGOVERNMENTAL COOPERATIVE PURCHASING AGREEMENT • Equalis Group Exhibit D – EQUALIS GROUP CONTRACT SALES REPORTING
    [Show full text]
  • Terminológiastratégiai Kihívások a Magyar Nyelvterületen
    A kötetben szereplő tanulmányok a nyelvstratégia és a terminológiastratégia Szerkesztette legfontosabb területeit ölelik fel. A témák a tágabbtól a szűkebb felé tartanak: az általános magyar nyelvstratégiától indulnak és haladnak a szűkebb FÓRIS ÁGOTA ÉS terminológiastratégia felé, áttekintik az európai szokásokat, szabványokat és irányzatokat, a szomszédos országokban felmerülő, magyar nyelvvel kap- BÖLCSKEI ANDREA csolatos problémákat és megoldási módjaikat, lehetőségeiket, az online terminológiai adatbázisokat és egy konkrét szaknyelvi terület, az orvosi terminológia kérdéskörét. A záró tanulmányban foglaltuk össze az – állás- pontunk szerint – legfontosabb elveket és teendőket a terminológiastraté- gia területén. TERMINOLÓGIASTRATÉGIAI Szintén e kötet teszi közzé magyar nyelven a Brüsszeli nyilatkozat a nem- zetközi terminológiai együttműködésért (EAFT 2002), valamint a Terminoló- KIHÍVÁSOK A MAGYAR giapolitikai irányelvek. A terminológiapolitika kialakítása és megvalósítása NYELVTERÜLETEN A MAGYAR különböző nyelvközösségekben (UNESCO 2005) című dokumentumokat. NYELVTERÜLETEN A kötet szerzői: B. Papp Eszter, Benő Attila, Bölcskei Andrea, Fóris Ágota, Kuna Ágnes, Lanstyák István, Ludányi Zsófia, Péntek János, Prószéky Gábor, Tamás Dóra Mária, Tolcsvai Nagy Gábor TERMINOLÓGIASTRATÉGIAI KIHÍVÁSOK TERMINOLÓGIASTRATÉGIAI ISBN 978-963-414-516-5 2790 Ft 9 789634 145165 ForisAgota_TERMINOLOGIASTRATEGIAI.indd 1,3 2019. 05. 20. 11:41 TERMINOLÓGIASTRATÉGIAI KIHÍVÁSOK A MAGYAR NYELVTERÜLETEN TERMINOLÓGIASTRATÉGIAI KIHÍVÁSOK A MAGYAR NYELVTERÜLETEN Szerkesztette Fóris Ágota és Bölcskei Andrea Budapest, 2019 A kötet kiadását az Országos Fordító és Fordításhitelesítő Iroda (OFFI Zrt.) támogatta. © L’Harmattan, 2019 © OFFI Zrt., 2019 © Szerkesztők, Szerzők, Fordítók 2019 Minden jog fenntartva. ISBN 978-963-414-516-5 Szakmai lektorok: Nádor Orsolya Szoták Szilvia Nyelvi lektorok: B. Papp Eszter Robert P. Kerner A borítón a Wikimedia Commons szabadon felhasználható fotója szerepel Csontváry Kosztka Tivadar: Traui tájkép naplemente idején című festményéről.
    [Show full text]