Artificial Intelligence-Based Translation Technology in Translation Teaching

Ling-hui, Kong

doi:10.1155/2022/6016752

Cited by 7 publications

(6 citation statements)

References 15 publications

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“…AI also improves the quality of MT in today's change to translation business, and translation teaching in university (He 2021). MT as an application of language translation has turned into an essential part of the development of translation services in the world (Kong, 2022). From the result of observation, it can be informed that the students can implement their knowledge on using AI, especially in MT application.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Machine Translation Performance on Translating Informative Text from English into Indonesian

Ismailia¹

2023

EBONY

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This study aims to investigate the performance of 6 machine translation. The text translated was informative text from English into Indonesian. The document taken from 48 students paper in semester final test. The research design is descriptive qualitative and content analysis approach. The data obtained from the students translation result in final test, observation, and interview. In analyzing the result of translating, there were three categories: grammatical structure, cultural words, and mechanic writing (composition writing). The result shows the performance of 6 machine translations: Google translate (GT), DeepL, Yandex, Systran, Udictionary, Microsoft translator, and itranslate on grammatical structure analysis were understanable related to meaning because the language is news report in formal language and reporting facts. However, some roles of language were changes such as: tenses, word formation, active/passive, singular plural, article, and auxiliary verbs. There was no example in cultural words and mechanic writing because the form of language is news report. The result of observation indicated that the students already apply technology in translation by utilizing MT in translating text. Furtthermore, in the result of interview implied that the usage of MT can give an assistance in translating text from English into Indonesian especially for informative text.

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Section: Discussionmentioning

confidence: 99%

Analysis of Machine Translation Performance on Translating Informative Text from English into Indonesian

Ismailia¹

2023

EBONY

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“…Bhardwaj [26] discussed the profound impact of the AI revolution, specifically DL, in the field of MT. The Proclamation recognizes the value of teachers in advancing the field of translation education via the creation of new, cutting-edge methods of instruction.…”

Section: Figure 2 DL Architecture [15]mentioning

confidence: 99%

The Impact of Artificial Intelligence on Language Translation: A Review

Mohamed,

Khanan,

Bashir

et al. 2024

IEEE Access

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In the context of a more linked and globalized society, the significance of proficient crosscultural communication has been increasing to a position of utmost importance. Language functions as a crucial medium that establishes connections among people, corporations, and countries, thus demanding the implementation of precise and effective translation systems. This comprehensive review paper aims to contribute to the evolving landscape of AI-driven language translation by critically examining the existing literature, identifying key debates, and uncovering areas of innovation and limitations where the primary objective -is to provide a nuanced understanding of the current state of AI-driven language translation, along with emphasizing the advancements, challenges, and ethical considerations. In this review, ongoing debates surrounding AI-driven language translations were actively involved. By evaluating different viewpoints and methodologies, insights into unresolved questions that contribute to broader discourse in the field were provided. The future trajectory of this study is the incorporation of cross-lingual dialect adaptability and the advancement of Artificial Intelligence translation systems, with a focus on prioritizing inclusion and cultural understanding.

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“…This new system makes the MTs generate better and more accurate translations. With the rise of AI (artificial intelligence), it is believed that AI will power the OMTs in the future (Kong, 2022;Chen, 2020;Zhang & Tang, 2022).…”

Section: Online Machine Translation (Omt)mentioning

confidence: 99%

Online Machine Translation and Language Learning: EFL Learners’ Practices and Beliefs

Jeane Tuilan,

Herminus Efrando Pabur,

Ignatius J. C. Tuerah

2023

TSSJ

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With the advancement of technology, the quality of the translation generated by online machine translation (OMT) has also improved. The OMT even have become an integral part of English language learning. This present study is conducted to investigate the English as a foreign language (EFL) students’ beliefs and practices towards the use of OMT in English language learning. This qualitative study is conducted using a questionnaire as the data collection instrument. The questionnaire is administered to 22 EFL students at a university in June 2023. The data were analyzed by using frequency and descriptive analysis. The finding shows that OMTs, as believed by the students, are valuable tools in improving students’ English language learning experiences. They believe that OMTs offer many benefits for students in EFL classrooms. However, the frequent use of OMTs can lead to over-reliance, decreasing students’ confidence and self-reliance in learning English. The findings also show that students use the OMTs in EFL classrooms because of the benefits while realizing their potential drawbacks. OMTs have a significant role in EFL classrooms since they can be a valuable learning resource for students. English teachers are expected to harness the good potential of OMTs to improve the quality of English language learning.

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Artificial Intelligence-Based Translation Technology in Translation Teaching

Cited by 7 publications

References 15 publications

Analysis of Machine Translation Performance on Translating Informative Text from English into Indonesian

Analysis of Machine Translation Performance on Translating Informative Text from English into Indonesian

The Impact of Artificial Intelligence on Language Translation: A Review

Online Machine Translation and Language Learning: EFL Learners’ Practices and Beliefs

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