scholarly journals EFL STUDENTS’ PERCEPTION ABOUT MACHINE TRANSLATION

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Setia Marito ◽  
Erwin Ashari
Keyword(s):  
Foreign Language ◽  
Machine Translation ◽  
General Description ◽  
Efl Students ◽  
Translation Machine

Machine Translation become as alternative to know the meaning of foreign language. Machine Translation was used to translate word, phrase, sentence, pharagraph. text translation  was made as a general description and a consederation to get understanding. Machine Transalation can be used as dictionary, too. It is easier to find word by using Machine Translation rather than dictionary. The purpose of using it; to ensure the meaning,  to know the meaning and to be more practice. But, Machine Translation leaded them to a confused situation, because sometimes the grammar and structure were different from what they knew and learned, so it made them confused deciding the correct one. Another effect was making them became lazy to open dictionary, to memorize new words.son their problem on using machine translation covers structure/grammar and several words such as idiom.Keywords: Machine Translation, Machine Translation Problems, Structure/Grammar Case.     

scholarly journals Students’ Perceptions of Using Machine Translation Tools In the EFL Classroom

Al-Lisan ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 230-241
Author(s):  
Sujarwo Sujarwo
Keyword(s):  
Foreign Language ◽  
Machine Translation ◽  
English Education ◽  
General Description ◽  
Education Department ◽  
English As Foreign Language ◽  
Translation Quality ◽  
Translation Tools ◽  
Efl Students ◽  
English Students

Machine Translation (MT) refers to automatically trying to translate words, phrases, text, or speech from one language to another (Arnold et al., 1994). This study aims to analyze English as Foreign Language (EFL) students’ perceptions on utilizing machine translation (MT) in translating words, phrases, text, or speech. This research used descriptive qualitative method, 13 EFL students as respondents using this type of technology were described and analyzed. Data were gained from the analysis of the translation quality supported by machine translation procedures and questionnaires to 13 English students in translation subject. The results showed that, EFL students in the sixth and seventh semester of English education department of Megarezky University in translating words, phrases, texts, paragraphs had to recheck and rearrange to get a good translation by their own understandings. Machine Translation (MT) becomes another option to recognize the meaning of foreign language. Machine Translation can be used as dictionary as well. MT is incredibly useful and helpful, it can provide a general description to the users, it gives an inspiration or consideration to the users to understand the meaning.

scholarly journals Raising Student Consciousness About Machine Translation

2021 ◽  
Vol 2020 (1) ◽  
pp. 386
Author(s):  
Tim Newfields ◽  
Ivan Botev
Keyword(s):  
Foreign Language ◽  
Machine Translation ◽  
Structured Interviews ◽  
Consciousness Raising ◽  
Learning Framework ◽  
Language Classes ◽  
Efl Students ◽  
Speed Up ◽  
Translation Services

With the rise of virtual assistants and the proliferation of digital translation software, such as Google Translate and Weblio that speed up the translator’s work, it is time to question what role, if any, machine translation services should have in foreign language classes. In this paper, the authors describe some activities designed to raise awareness about the use and misuse of machine translation within a task-based learning framework. Inspired by Sharwood-Smith’s 1981 notion of “consciousness-raising”, we outline three activities highlighting the benefits and problems of machine translation. An analysis of two translation exercises by 86 tertiary students in Japan indicated how many felt uncertain of the quality of their translations. Moreover, semi-structured interviews with six respondents following these activities underscored how students felt ambivalent about their translations. We conclude the paper with a discussion of some resources for EFL students seeking to improve their translation skills. デジタル翻訳ソフトの普及に伴い、外国語の授業で機械翻訳サービスが、もしあるとしたらどのような役割を担うべきかを問う時期にきている。本稿では、タスクベース学習の枠組みの中で、機械翻訳の使用と誤用についての認識を高めるためにデザインされたいくつかの活動について説明する。 本稿では、機械翻訳の利点と欠点を強調する三つのアクティビティーを概説する。日本の高等教育機関で学ぶ86人の学生によるふたつの翻訳演習の分析から、多くの学生が自らの翻訳の質に不安を感じていることがわかった。、さらに、これらのアクティビティーの後に実施した6人の学部生への半構造化面接から、多くの学生が翻訳の質を判断するのに苦労していることが明らかになった。締めくくりとして、翻訳スキルの向上を目指すEFLの学生向けのリソースについて考察した。

scholarly journals The Influences of Machine Translation Dependency on Translation Skill

2020 ◽  
Vol 2 (1) ◽  
pp. 36-49
Author(s):  
Jorge August Valdano Reidina ◽  
Siti Fatimah Yuliani
Keyword(s):  
Foreign Language ◽  
Machine Translation ◽  
Research Design ◽  
Case Study Research ◽  
Qualitative Approach ◽  
Study Research ◽  
Test Translation ◽  
Post Test ◽  
Translation Machine

To translate one language to another language, sometimes some students still have difficulty translating foreign language due to their inexperience in the foreign language. This research uses a case study research design with a qualitative approach suitable for the terms and conditions with case study research design. The research conducted a pre-test and post-test translation test, which involved five subjects with two abstracts for each subject. This study showed that subjects were influenced by machine translation dependency on behavioral and result aspects. This study also showed the results differences, which showed that subjects had lower results when translated manually than translated used machine translation. Machine translation could help the students in translation tasks. However, dependency behavior could influence the progress and results of translation because it still has weaknesses in machine translation. The study advises users to use machine translation wisely to keep the advantages of machine translation and to decrease the disadvantages of machine translation.

Study of Consonant Pronunciations Errors Committed by EFL Learners

2019 ◽  
pp. 48-56
Author(s):  
Ali Akbar Khansir ◽  
Afsaneh Salehabadi
Keyword(s):  
English Language Learners ◽  
Foreign Language ◽  
Language Learners ◽  
English Language ◽  
Age Group ◽  
Efl Learners ◽  
Listening Skill ◽  
English Pronunciation ◽  
Efl Students ◽  
Knowledge Of Language

As the topic suggests, the research paper presents Study of Consonant Pronunciations Errors Committed by EFL Learners. Error analysis always tries to resolve language learners’ problems in acquiring second or foreign language setting. Learning to English pronunciation is perhaps as important as learning listening skill, speaking, and spelling. Errors in English pronunciation create several problems for English language learners in their works. In other words, most of the English language errors of pronunciation are due to the lack of knowledge of language learners. However, all the students in our sample are of age group (16-25) at Bushehr language institute and they are all Iranian nationals. In addition, all of them were female learners. An English pronunciation (consonant) test was used to get information about the knowledge of the learners in English pronunciation. Findings of this article indicated that the first and second hypotheses of this article were accepted, but the third hypothesis was rejected. However, the findings of this paper showed that the Iranian EFL students have problem to pronounce English sounds correctly.

An exploration of target L2 morphemes in the oral production of young EFL learners in Croatia

2020 ◽  
Author(s):  
Jelena O'Reilly ◽  
Eva Jakupčević
Keyword(s):  
Foreign Language ◽  
Research Area ◽  
Simple Construction ◽  
L2 Acquisition ◽  
Efl Learners ◽  
Oral Production ◽  
The Past ◽  
Base Form ◽  
Production Study ◽  
Efl Students

Although the second language (L2) acquisition of morphology by late L2 learners has been a popular research area over the past decades, comparatively little is known about the acquisition and development of morphology in children who learn English as a foreign language (EFL). Therefore, the current study presents the findings from a longitudinal oral production study with 9/10-year-old L1 Croatian EFL students who were followed up at the age of 11/12. Our results are largely in line with the limited research so far in this area: young EFL learners have few issues using the be copula and, eventually, the irregular past simple forms, but had considerable problems with accurately supplying the 3rd person singular -s at both data collection points. We also observed a be + base form structure, especially at the earlier stage, which appears to be an emergent past simple construction.

Machine Translation for EFL

Relay Journal ◽  
2019 ◽  
pp. 228-235
Author(s):  
Paul J. Moore ◽  
Phil Murphy ◽  
Luann Pascucci ◽  
Scott Sustenance
Keyword(s):  
Foreign Language ◽  
Language Learning ◽  
Machine Translation ◽  
English Language ◽  
Foreign Language Learning ◽  
Efl Learners ◽  
Technical Developments ◽  
English Language Institute ◽  
Changing Role

This paper reports on an ongoing study into the affordances of free online machine translation for students learning English as a foreign language (EFL) at the tertiary level in Japan. The researchers are currently collecting data from a questionnaire, task performance, and interviews with 10-15 EFL learners in an English Language Institute in a university in Japan. The paper provides some background on the changing role of translation in language learning theory and pedagogy, before focusing literature related to technical developments in machine translation technology, and its application to foreign language learning. An overview of the research methodology is provided, along with some insights into potential findings. Findings will be presented in subsequent publications.

English-Dogri Translation System using MOSES

2016 ◽  
Vol 1 (1) ◽  
pp. 45-49
Author(s):  
Avinash Singh ◽  
Asmeet Kour ◽  
Shubhnandan S. Jamwal
Keyword(s):  
Natural Language Processing ◽  
Machine Translation ◽  
Language Processing ◽  
Statistical Machine Translation ◽  
Translation System ◽  
Parallel Corpus ◽  
English System ◽  
Machine Translation System ◽  
Translation Machine ◽  
Language Pair

The objective behind this paper is to analyze the English-Dogri parallel corpus translation. Machine translation is the translation from one language into another language. Machine translation is the biggest application of the Natural Language Processing (NLP). Moses is statistical machine translation system allow to train translation models for any language pair. We have developed translation system using Statistical based approach which helps in translating English to Dogri and vice versa. The parallel corpus consists of 98,973 sentences. The system gives accuracy of 80% in translating English to Dogri and the system gives accuracy of 87% in translating Dogri to English system.

scholarly journals Addressing Religious Diversity through Children’s Literature: An “English as a Foreign Language” Classroom in Israel

2015 ◽  
Vol 17 (2) ◽  
pp. 92 ◽  
Author(s):  
Rawia Hayik
Keyword(s):  
Foreign Language ◽  
Critical Literacy ◽  
Religious Diversity ◽  
Middle Eastern ◽  
Practitioner Inquiry ◽  
Religious Groups ◽  
Reader Responses ◽  
Region I ◽  
Language Classroom ◽  
Efl Students

Conflicts between different religious groups occasionally arise in my Christian and Muslim Israeli-Arab EFL students’ school and area. In an attempt to increase students’ knowledge of and respect for other faiths in the region, I conducted practitioner inquiry research in my religiously diverse Middle-Eastern classroom. Grounded in critical literacy, I used a book set of religion-based literature alongside critical literacy engagements to effect some change in students’ tolerance towards other faiths. This article describes my journey of exploring students’ reader responses to religion-based texts and issues.

‘Should textbook images be merely decorative?’: Cultural representations in the Iranian EFL national textbook from the semiotic approach perspective

2021 ◽  
pp. 136216882199226
Author(s):  
Ali Derakhshan
Keyword(s):  
Foreign Language ◽  
Qualitative Analysis ◽  
Dynamic Model ◽  
Cultural Awareness ◽  
Teacher Educators ◽  
Cultural Representations ◽  
Cultural Meanings ◽  
Semiotic Approach ◽  
Efl Students ◽  
Instructional Settings

Studies examining culture representation in language textbooks have rarely adopted the semiotic approach, despite its potential for presenting and (re)creating cultural meanings at their various levels (i.e. cultural, intercultural, multicultural, and transcultural) in the co-instantiations of texts, tasks, and images. To address this issue, a qualitative analysis, embarking on the Peircean semiotic theory, was applied on the text-image-task semiotic relationship. It explored its potential for constructing and reconstructing cultural meanings relative to the Iranian national English as a foreign language (EFL) textbook, Vision 1, from the perspectives of Iranian EFL students, teachers, and teacher educators. Content and thematic analyses of the interview records revealed three themes: first, the co-instantiation of the image and text was indexical, cultural awareness and connotations were almost untouched; second, the textual and visual components driving intercultural meanings and interpretations were not in accordance with the tasks; and, third, some alternative more culturally engaging images were provided by the interviewees. On the whole, the findings confirmed the previous findings that the discourse of this brand-new Iranian localized EFL textbook leaves little space to raise cultural awareness for its users. Based on the findings, a dynamic model for evaluating cultural representations in textbooks is suggested, hoping to show how EFL textbooks can be developed, implemented, and received more effectively in instructional settings.

Research on Machine Translation Technology in English Translation Process

2014 ◽  
Vol 687-691 ◽  
pp. 1210-1213
Author(s):  
Ke Tian
Keyword(s):  
Machine Translation ◽  
English Translation ◽  
Development Process ◽  
Translation System ◽  
Translation Process ◽  
Sentence Meaning ◽  
Cultural Exchanges ◽  
Response Measures ◽  
World Economic ◽  
Translation Machine

Translation plays an important role in the world economic and cultural exchanges. Translation is divided into machine translation and human translation, which is complement each other in promoting world economic and social development process. In this paper, Collaborative Translation gets much attention, along with the growth of collaborative translation, English translation technology also towards a new milestone, the characteristics of collaborative translation process and scientific literature are briefly introduced, and collaborative translation technology English Translation applications made a brief explanation. From the perspective of the development of machine translation, comparative analysis of the characteristics of human translation machine translation strengths and weaknesses, and we make relevant response measures and selection criteria translation approach. The specific translation system is analyzed from the perspective of textual and the Collaborative Translation shortcomings, as well as interpretation of collaborative translation features, functions and its impact on the meaning and sentence meaning.

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