Machine vs human translation: a new reality or a threat to professional Arabic–English translators

Muftah, Muneera

doi:10.1108/prr-02-2022-0024

Cited by 10 publications

(8 citation statements)

References 21 publications

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“…MT has significantly reduced the language barrier. (Muftah, 2022). Of course, some translators have a rather categorical opposite attitude to the use of technology in translation, reasoning that a machine can never replace a deep knowledge of the language and culture of a nation for which it was formed and has many years of experience, but we still think that such an attitude is also wrong, since the use of technological translation cannot be excluded, and if it is used, it should be verified and processed if necessary, since its use saves us a lot of time and to some extent in some types of texts it can be accepted as accurate and efficient up to a considerable percentage.…”

Section: Discussion and Resultsmentioning

confidence: 99%

Professional Translators and Translation Technology

Kaba

Gjinali²

2023

JESR

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Nowadays we are all aware of the role that technology plays in our private and professional lives, as this has been and continues to be the purpose for which it was created and continues to develop. This article begins with a short analysis of the importance of the use of translation technology in various areas of modern life, focusing on the causes that led to its birth and development. It then describes in general terms the tools offered by this technology, from the translation machine to the computer-assisted translation, explaining what is considered to be the core of CAT known as MT – memory translation. In the last part, the article discusses the pros and cons of professional translators regarding the tools offered by this technology, concluding that on the one hand translators should increasingly insist on using these tools, to be competitive in translation’s process, but on the other hand also the companies that produce these technologies should work more towards the quality of translation as well as the involvement of professional translators in the development projects of these tools. Communication between the two parties should be the next challenge for these companies. Received: 5 January 2023 / Accepted: 28 February 2023 / Published: 5 March 2023

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Section: Discussion and Resultsmentioning

confidence: 99%

Professional Translators and Translation Technology

Kaba

Gjinali²

2023

JESR

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“…Of the 39 respondents who were selected based on criteria, the results showed that 29 respondents (74.35%) stated that the consistency of Google Translate was very low in the use of terms, then 9 respondents (23.07%) stated that the consistency was quite low and only 1 respondent (2.56%) stated that the consistency was quite high. When linked to global research, discussions about machine translation have been widely discussed by academics, including (Al-Shalabi, 2022;Muftah, 2022;Munkova dkk., 2021;Prates dkk., 2020;Shaikhli, 2022) which states that machine translation has weaknesses that must be supported by reliable tools or methods. This statement is in line with researchers' findings that the translation results of Google Translate as the most popular translation machine have many weaknesses, including the aspect of consistency in the use of key terms, or terms that are often used, the translation machine is not This finding refutes the statement from (Shaikhli, 2022) which states that machine translation is more consistent than human translation.…”

Section: Google Translate Inconsistencies In Arabic Translation From ...mentioning

confidence: 99%

“…This statement is supported by research from Muftah which states that there is no statistically significant difference between human and machine translation and machine translation is the correct translation. The relationship between humans and machines is mutually beneficial (Muftah, 2022). But machine translation will never be completely reliable, and machine translation still faces many challenges that make it incomparable to human translation.…”

Section: Introductionmentioning

confidence: 99%

“…The global phenomenon related to the use of translation machines shows a very significant increase. Research related to machine translation and its comparison with human translation has been widely carried out (Muftah, 2022;Munkova dkk., 2021;Prates dkk., 2020;Shaikhli, 2022). From several studies it can be drawn that machine translation is superior in the aspect of speed, but has shortcomings in the aspects that are used to evaluate the translation based on the concept brought by Larson (1984), namely aspects of accuracy, clarity and fairness.…”

Section: Introductionmentioning

confidence: 99%

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Web-Based Google Translate Inconsistencies in Bahasa-Arabic Translations from the ‎Arabic Thesis Writer's Perspective

Dinata,

Mizan,

Budiarti

et al. 2024

Asalibuna

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This research aims to reveal the inconsistencies of machine translation from the perspective of students who use web-based Google Translate in their Arabic thesis. This research has an impact on translation machine users from Arabic teachers and researchers to be more careful in using Google Translate when translating from Bahasa to Arabic, especially in inconsistent aspects. The researcher used a mixed method with an Explanatory Sequential Design‎ because after distributing questionnaires in collecting quantitative data to collect patterns of inconsistencies that occurred, it was important to explain the initial findings from the quantitative data qualitatively through interviews. ‎Quantitative data is analyzed using simple percentage statistics, then qualitative data is analyzed through four steps, namely data collection, reduction, presentation, and conclusion. The results of this research found that inconsistencies in web-based Google Translate translation results were found in four patterns. First, Google Translate is very inconsistent in translating terms that have the same meaning (mutarodifat), but the terms that appear in the translation results are often different, even within the same paragraph. Second, inconsistencies very often also occur in the aspects of mufrad, mutsanna and jamak, the Google translation machine cannot differentiate between the singularity and plurality aspects of the object being translated, so translation errors often occur where a singular word that should be translated as mufrad will instead become plural or on the contrary. Third, the translation machine does not recognize the gender of the subject in the translated sentence, so translation inconsistencies in the mudzakkar and mu'annats aspects occur very often. Inconsistencies in the gender aspect, as well as the mufrad, mutsanna, and jamak aspects, have an impact on the fourth error pattern, namely grammatical inconsistencies, namely errors in using the verb (fi'il) in a sentence. Of the four patterns of inconsistency, the term inconsistency is a new thing that has not been revealed much. The grammatical aspect is closely related to aspects of the singular or plural form as well as the masculine or feminine form which is the subject of the translated sentence and needs to be discussed further by other researchers.

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“…Since technology has become an integral part of daily life, language has become increasingly reliant on technological advancements such as audio, video and even WWW resources (Ahmadi and Reza, 2018; Orlanda-Ventayen, 2019a, b). In language learning, translation plays a significant role and many teachers and language educators have attempted to incorporate technology into the learning process in the hopes of improving students' knowledge in the translation process Muftah (2022b). In addition, research has attempted to gain some insight into the impact of web-based learning on students' translation performance.…”

Section: Literature Reviewmentioning

confidence: 99%

The effects of web-based language learning on university students' translation proficiency

Muftah

2022

JARHE

Self Cite

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PurposeWeb-based language learning (WBLL) materials have long been favored by English language instructors because they are plentiful, easily accessible, user-friendly and, most importantly, free. This research looks into the effects of learning the simple perfect tense translation in three different English translation classes that used three different teaching methods: traditional face-to-face, integrative and web-based learning. It also aims to investigate the impact of gender on every mode of instruction and to identify the most effective method for learning translation.Design/methodology/approachThe study is quantitative, with a pretest/posttest quasi-experimental research design. A total of 93 third-year undergraduate students (51 female and 42 male students) participated in the pretest/posttest design. Each group was exposed to one mode of instruction for nine weeks. All groups sat for a pretest in the first week of the treatment. After the treatment, the participants were provided with a posttest, and the data obtained were analyzed using the SPSS computer software program.FindingsThe findings revealed a significant difference in both tests for all modes used. All three groups improved in their gain score, but the highest gain among these groups was the integrative method, followed by web-based learning. The result of the independent sample t-tests and ANOVA exhibited that there was no significant difference in the level of students between the two groups, both were sig. two-tailed (p = 0.342). Furthermore, it was discovered that gender did not affect students' performance in the posttest (Z = −1.564, p > 0.05) when each mode of instruction was applied. Finally, the integrative method was observed to be the most effective.Practical implicationsThe findings can inspire translation course designers to plan necessary policies or syllabi regarding English translation courses and may serve as a platform for improving the curriculum for training and motivating the next generation of English as a Foreign Language (EFL) learners.Originality/valueThe findings of this study could be used to improve English instruction in countries where English is a second or foreign language. The actual gap in knowledge is that no other studies have compared all three groups in the past few years.

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Machine vs human translation: a new reality or a threat to professional Arabic–English translators

Cited by 10 publications

References 21 publications

Professional Translators and Translation Technology

Professional Translators and Translation Technology

Web-Based Google Translate Inconsistencies in Bahasa-Arabic Translations from the ‎Arabic Thesis Writer's Perspective

The effects of web-based language learning on university students' translation proficiency

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