scholarly journals The Machine Translation of Literature: Implications for Translation Pedagogy

2020 ◽  
Vol 15 (11) ◽  
pp. 228 ◽  
Author(s):  
Abdulfattah Omar ◽  
Yasser A. Gomaa
Keyword(s):  
Machine Translation ◽  
Short Story ◽  
Teaching And Learning ◽  
Arabic Language ◽  
Harry Potter ◽  
Literary Texts ◽  
Translation Tools ◽  
Unique Nature ◽  
Online Texts ◽  
Translation Systems

The recent years have witnessed an increasing importance of machine translation systems due to the prolific production on online texts in different disciplines and furthermore, the inability of traditional translation methods in addressing translation needs all over the world. It is even argued that training on translation tools should be integrated into translation pedagogies and ultimately, courses should be provided for students and professionals. In spite of the effectiveness of translation tools and systems in providing solutions in relation to different disciplines and text genres, the usability and reliability of such systems in terms of literary texts, however, is still highly controversial. Many critics and educators still underestimate the usefulness of the machine translation systems in literature, which could be partially attributed to the unique nature of the language of the literary texts. The issue has its pedagogical implications to translation instruction due to the needs to integrate emerging technologies in teaching and learning practices. For proper use of translation technologies in educational contexts, these need to be well evaluated. For this purpose, this study evaluates the usefulness of applying machine translation systems to literature with the purpose of identifying the challenges that may have negative impacts on the reliability of machine translation systems. In order to do this this, two translation systems are selected, namely, Google Translate and Q Translate. By way of illustration, the study is based on a corpus of two English short stories. The study is based on two prose fiction texts. The first is J. K. Rowling’s novel Harry Potter and the Philosopher’s Stone. The second is Edgar Allan Poe’s short story The Black Cat. Automatic translations generated by the two machine translation systems were compared to human made Arabic translations with the purpose of identifying the problems within these translations. Results indicate that different lexical, structural, and pragmatic errors are encountered by users which negatively impact the reliability of these translations. Educators and translation instructors need to reflect on the challenges of machine translation systems in relation to literature. Software developers need also to address the problems faced by users and students in the translation from and into the Arabic language.

scholarly journals Recursive Machine Translation

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Joshua Evans
Keyword(s):  
Machine Learning ◽  
Machine Translation ◽  
Literary Culture ◽  
Literary Texts ◽  
Literary Value ◽  
Translation Tools ◽  
Methodological Reflection

Machine translation tools such as Google Translate are at best seen as useful approximators, rather than offering any literary potential. In this experiment and short methodological reflection, I use Google Translate to recursively translate Austrian poet Georg Trakl’s celebrated WWI poem, ‘Grodek’, between German and English, until the two versions stabilise. I am attentive to places in which the poem and its renderings are simplified and/or literary value may be lost, but also places in which new or unexpected renderings emerge. This is a preliminary foray, but I propose that the method of recursive machine translation offers a new way to explore the translation of literary texts—a timely proposal, given the increasing applications of computer programmes and machine learning both within the humanities and throughout wider literary culture.

scholarly journals A Survey on Hybrid Machine Translation

2020 ◽  
Vol 184 ◽  
pp. 01061
Author(s):  
Anusha Anugu ◽  
Gajula Ramesh
Keyword(s):  
Machine Translation ◽  
Language Processing ◽  
Literature Survey ◽  
Neural Machine Translation ◽  
Translation Tools ◽  
Translation Techniques ◽  
Hybrid Machine ◽  
Hybrid Machine Translation ◽  
Translation Systems ◽  
Evaluation Techniques

Machine translation has gradually developed in past 1940’s.It has gained more and more attention because of effective and efficient nature. As it makes the translation automatically without the involvement of human efforts. The distinct models of machine translation along with “Neural Machine Translation (NMT)” is summarized in this paper. Researchers have previously done lots of work on Machine Translation techniques and their evaluation techniques. Thus, we want to demonstrate an analysis of the existing techniques for machine translation including Neural Machine translation, their differences and the translation tools associated with them. Now-a-days the combination of two Machine Translation systems has the full advantage of using features from both the systems which attracts in the domain of natural language processing. So, the paper also includes the literature survey of the Hybrid Machine Translation (HMT).

scholarly journals Apresentando o copa-trad versão 2.0 um sistema com base em corpus paralelo para pesquisa, ensino e prática da tradução

2020 ◽  
Vol 73 (1) ◽  
pp. 297-316
Author(s):  
Carlos Eduardo Silva ◽  
Lincoln Fernandes
Keyword(s):  
Machine Translation ◽  
Literary Texts ◽  
The Internet ◽  
Translation Research ◽  
Parts Of Speech ◽  
Automatic Translation ◽  
Pos Tagging ◽  
Legal Texts ◽  
Version 2.0 ◽  
Translation Systems

This paper describes COPA-TRAD Version 2.0, a parallel corpus-based system developed at the Universidade Federal de Santa Catarina (UFSC) for translation research, teaching and practice. COPA-TRAD enables the user to investigate the practices of professional translators by identifying translational patterns related to a particular element or linguistic pattern. In addition, the system allows for the comparison between human translation and automatic translation provided by three well-known machine translation systems available on the Internet (Google Translate, Microsoft Translator and Yandex). Currently, COPA-TRAD incorporates five subcorpora (Children's Literature, Literary Texts, Meta-Discourse in Translation, Subtitles and Legal Texts) and provides the following tools: parallel concordancer, monolingual concordancer, wordlist and a DIY Tool that enables the user to create his own parallel disposable corpus. The system also provides a POS-tagging tool interface to analyze and classify the parts of speech of a text.

scholarly journals O USO DA LITERATURA NAS AULAS DE LÍNGUA ESTRANGEIRA ATRAVÉS DA PEDAGOGIA DESENVOLVIMENTAL DE DAVYDOV

2016 ◽  
Author(s):  
Carlos Eduardo De Araujo Placido
Keyword(s):  
Foreign Language ◽  
Short Story ◽  
Teaching And Learning ◽  
English Language ◽  
Language Teachers ◽  
Foreign Languages ◽  
Literary Texts ◽  
Foreign Language Teachers ◽  
Language Classes ◽  
Language Schools

O acesso ao texto literário é um direito de todos (CANDIDO, 1995). Entretanto, há ainda pouco uso do texto literário para o ensino e aprendizagem de línguas estrangeiras, tanto no Ensino Médio quanto em escolas de idiomas no Brasil. Por isso, o objetivo principal deste artigo é o de investigar a aplicabilidade do uso de textos literários em aulas de língua estrangeira, mormente em língua inglesa por meio de técnicas de Escrita Criativa (MANCELLOS, 2000; MURRAY, 2003; POPE, 2005) com base direta na teoria do ensino desenvolvimental de Davydov (1988). A primeira parte deste artigo esboça rapidamente a pedagogia de Davydov (1988) e sua importância para o ensino de língua estrangeira nos dias atuais. Já a segunda parte foca na relevante contribuição da teoria do ensino desenvolvimental davydoviana e suas seis principais ações que podem ser usadas no ensino de língua estrangeira. A terceira e última parte traz exemplificações tanto de teoria de Davydov (1988) quanto indicações de websites os quais podem ser utilizados pelo professor de língua estrangeira dentro (e fora) da sala de aula.Abstract: The access to the literary text is a right of every human being (CANDIDO, 1995). However, there is still little use of literary texts for teaching and learning foreign languages, both at high schools and at language schools in Brazil. Therefore, the main objective of this article is to investigate the applicability of using literary texts in foreign language classes, especially in the English language ones through Creative Writing techniques (MANCELLOS, 2000; MURRAY, 2003; POPE, 2005) based directly on the theory of developmental teaching by Davydov (1988). Thus, the first part of this article briefly outlines the pedagogy of Davydov (1988) and its importance to foreign language teaching today. The second part focuses on the relevant contribution of the Davydovian theory for education as well as its six key actions that may be used for teaching foreign languages. The third and final part brings exemplifications of both Davydovian theory (1988), through a ciberliteray short story, and indications of websites, which may be used by foreign language teachers inside (and outside) the classroom.

scholarly journals Machine translation systems and guidebooks: an approach to the importance of the role of the human translator

2020 ◽  
Author(s):  
Adrián Fuentes-Luque ◽  
Alexandra Santamaría Urbieta
Keyword(s):  
Machine Translation ◽  
Computer Assisted ◽  
Working Environments ◽  
Translation Tools ◽  
Technical Translation ◽  
Complete Translation ◽  
Translation Systems ◽  
Tourist Guides

Computer-assisted translation tools are increasingly supplemented by the presence of machine translation (MT) in different areas and working environments, from technical translation to translation in international organizations. MT is also present in the translation of tourism texts, from brochures to food menus, websites and tourist guides. Its need or suitability for use is the subject of growing debate. This article presents a comparative analysis of tourist guides translated by a human translator and three machine translation systems. The aims are to determine a first approach to the level of quality of machine translation in tourist texts and to establish whether some tourist texts can be translated using machine translation alone or whether human participation is necessary, either for the complete translation of the text or only for post-editing tasks.

scholarly journals Machine Translation Quality of Khalil Gibran’s The Prophet

2017 ◽  
Author(s):  
AWEJ for Translation & Literary Studies ◽  
Zakaryia Mustafa Almahasees
Keyword(s):  
Machine Translation ◽  
Low Cost ◽  
Literary Texts ◽  
Future Research ◽  
Output Analysis ◽  
Translation Quality ◽  
Automatic Translation ◽  
Word Level ◽  
Full Analysis ◽  
Translation Systems

Machine translation (MT) systems are widely used throughout the world freely or at low cost. The spread of MT entails a thorough analysis of translation produced by such translation systems. The present study evaluates the capacity of two MT systems-Google Translate and Microsoft Bing translator- in translation from Arabic into English of Khalil Gibran’s literary masterpiece - The Prophet (2000). The question that arises in the study is could we trust MT in the translation of literary masterpieces across languages and particularly from Arabic to English? How close does MT output to human translation? To conduct that, the study is adopted Bilingual Evaluation Understudy (BLEU) of Papineni (2000). MT output analysis showed that MT is not accurate, intelligible and natural in translating literary texts due to the difficulty of literary texts, as they are full of metaphors and cultural specifications. Besides, there are some linguistic errors: lexical, syntactic and misinformation. The study also found that both systems provided similar translation for the same input due to either the use of similar MT approach or learning from previous translated texts. Moreover, both systems in some instances, achieve good results at the word level, but bad results at collocation units. The study also showed that automatic translation is insufficient for providing a full analysis of MT output because all automatic metrics are misleading due to dependence on text similarity to a reference human translation. For future research, the study recommended conducting a correlative study that combines manual and automatic evaluation methods to ensure best analysis of MT output. Machine Translation (MT) is still far from reaching fully automatic translation of a quality obtained by human translators.

scholarly journals Impact of computer-assisted translation tools by novice translators on the quality of written translations

2021 ◽  
Vol 7 (Extra-C) ◽  
pp. 714-721
Author(s):  
Zulfiya Akhatovna Usmanova ◽  
Ekaterina Nikolayevna Zudilova ◽  
Pavel Alekseevich Arkatov ◽  
Nataliaya Grigorievna Vitkovskaya ◽  
Ekaterina Vladimirovna Kravets
Keyword(s):  
Experimental Study ◽  
Literature Review ◽  
Machine Translation ◽  
Computer Assisted ◽  
Translation Tools ◽  
Translation Practice ◽  
Translation Systems ◽  
The Impact

The main specificity of the modern translation market is the translation of large volumes of technical texts and business documents in the shortest time possible. The purpose of the study is to conduct an experiment on the impact of machine translation systems (in terms of using term bases) on the efficiency of future translators. The study provides a literature review on the problem under study and presents the advantages of computer-assisted translation tools in translation practice. Based on the experimental study, the analysis of the influence of computer-assisted translation tools on the quality of written translations of student translators was carried out.

scholarly journals TURKISH TRANSLATION COMPANIES’ USE OF COMPUTER ASSISTED TRANSLATION TOOLS

2014 ◽  
Vol 2 ◽  
pp. 337-344
Author(s):  
Halil İbrahim Balkul ◽  
Hüseyin Ersoy
Keyword(s):  
Machine Translation ◽  
Information Technologies ◽  
The Body ◽  
Computer Assisted ◽  
Specific Time ◽  
Desktop Publishing ◽  
Work Demand ◽  
Translation Tools ◽  
Available Information ◽  
Translation Systems

Nowadays, Computer Assisted Translation (CAT) tools are undoubtedly among indispensable parts of both translation industry and academic translation world. Thanks to the variety of translation memories, machine translation systems, desktop publishing tools, and terminology management applications, the body of translations carried out in a specific time has increased in a considerable amount compared to the situation in past. In this regard, the current inquiry aims at investigating Turkish translation companies’ use of CAT tools via examining the websites of 39 translation companies, which are the members of two important national translation providers’ associations in Turkey.The results of the existing research are limited to the available information presented in the websites of the aforementioned translation companies about the use of CAT tools. Further studies can shed some light on the issue in a more overarching way if the number of translation companies to be examined is increased and questionnaires are delivered more accessibly, either by paper or online. Besides, this study is an attempt to emphasize that translation companies will have much more work demand from customers if they display information technologies they master on their websites.

scholarly journals Developing Statistical Machine Translation System for English and Nigerian Languages

2018 ◽  
pp. 1-8
Author(s):  
Ignatius Ikechukwu Ayogu ◽  
Adebayo Olusola Adetunmbi ◽  
Bolanle Adefowoke Ojokoh
Keyword(s):  
Error Analysis ◽  
Machine Translation ◽  
Statistical Machine Translation ◽  
Translation System ◽  
Parallel Corpora ◽  
Translation Tools ◽  
Global Demand ◽  
Machine Translation System ◽  
Translation Systems

The global demand for translation and translation tools currently surpasses the capacity of available solutions. Besides, there is no one-solution-fits-all, off-the-shelf solution for all languages. Thus, the need and urgency to increase the scale of research for the development of translation tools and devices continue to grow, especially for languages suffering under the pressure of globalisation. This paper discusses our experiments on translation systems between English and two Nigerian languages: Igbo and Yorùbá. The study is setup to build parallel corpora, train and experiment English-to-Igbo, (), English-to-Yorùbá, () and Igbo-to-Yorùbá, () phrase-based statistical machine translation systems. The systems were trained on parallel corpora that were created for each language pair using text from the religious domain in the course of this research. A BLEU score of 30.04, 29.01 and 18.72 respectively was recorded for the English-to-Igbo, English-to-Yorùbá and Igbo-to-Yorùbá MT systems. An error analysis of the systems’ outputs was conducted using a linguistically motivated MT error analysis approach and it showed that errors occurred mostly at the lexical, grammatical and semantic levels. While the study reveals the potentials of our corpora, it also shows that the size of the corpora is yet an issue that requires further attention. Thus an important target in the immediate future is to increase the quantity and quality of the data.  

Defining language dependent post-editing guidelines for specific content

Babel ◽  
2020 ◽  
Vol 66 (4-5) ◽  
pp. 811-828
Author(s):  
Seung-Hye Mah
Keyword(s):  
Machine Translation ◽  
Early Stage ◽  
Rapid Development ◽  
Literary Translation ◽  
Literary Texts ◽  
Specific Content ◽  
Critical Elements ◽  
Stylistic Elements ◽  
To Come ◽  
Translation Systems

Abstract The rapid development of neural machine translation systems and the emergence of the e-book have broadened the scope of text types that can be translated by machines. At the early stage of the machine’s infiltration into the translation field, target texts were mainly technical texts such as patents, instruction manuals, etc. Literary texts have been considered as the last bastion of human translation because the machine translation (MT) has produced word-for-word translation, unsuitable for literary texts with distinct stylistic elements. However, it turns out that the field of literary translation was not immune to the rise of MT. Style is one of the critical elements in literary texts, but it has been dismissed in the existing MT post-editing guidelines. Therefore, this research attempts to provide methodological ideas about how to come up with a machine translation post-editing guideline (MTPE) for style improvement especially for language pairs with divergent syntax and semantics like English and Korean. First, the linguistic and cultural differences in writing styles are sorted out based on previous research. Second, the different ways in which human translators address writing style are investigated. Third, the strategies that human translators employ in their translations are applied to machine translation post-editing to demonstrate how the strategies can be incorporated into English-Korean MTPE to improve style. This preliminary research would lay the groundwork for refining post-editing style guidelines and for accumulating manually post-edited data for style improvement, which would be conducive to building and customizing automatic post-editing systems.

Sign in / Sign up

Export Citation Format

Share Document