TINGKAT KEAKURATAN TERJEMAHAN BAHASA INGGRIS KE BAHASA INDONESIA OLEH GOOGLE TRANSLATE

2017 ◽  
Vol 4 (1) ◽  
pp. 82 ◽  
Author(s):  
Noezafri Amar

This research was aimed at describing the accuracy level of Google Translate especially in translating English text into Indonesian based on language error analysis and the use of equivalence strategy. The data were collected by taking one paragraph from Johann Gottfried Herder’s Selected Writings on Aesthetics book as the source text. Then they were translated by Google Translate (GT). The data of GT translation were analyzed by comparing them with the measurement instrument of translation equivalence level and elaborating the equivalence strategy of GT. By doing so the language errors were seen thus the accuracy level of GT translation could be described. The result of this research showed that (1) out of 13 source data only 4 or 31% are accurate translation, 7 or 54% are less accurate translation, and 2 or 15% are inaccurate translation. Therefore it is implied that its reliability for accurate level is only 31%. Half of them is less understandable and a few are not understandable. (2) If the appropriate equivalence translation strategy is sufficiently transposition and literal, GT can produce an accurate translation. (3) If the appropriate equivalence translation strategy is combined strategy between transposition and modulation or descriptive, more difficult strategies, GT just produce less accurate translation because it kept using literal and transposition strategies. (4) But if the appropriate equivalence translation strategy is only modulation, GT just produce inaccurate translation which is not understandable because it can only use transposition strategy. Even if the appropriate equivalence translation strategy is just a transposition strategy, in one case, GT failed to translate and it produced inaccurate translation because its strategy is only literal. In conclusion, especially in this case study, Google Translate can only translate English source text into Indonesian correctly if the appropriate equivalence translation strategy is just literal or transposition.AbstrakPenelitian ini bertujuan untuk mendeskripsikan tingkat keakuratan Google Translate khususnya dalam menerjemahkan teks berbahasa Inggris ke dalam bahasa Indonesia berdasarkan analisis kesalahan bahasa dan penggunaan strategi pemadanan. Data dikumpulkan dengan mengambil satu paragraf dari buku Johann Gottfried Herder yang berjudul ‘Selected Writings on Aesthetics’ sebagai teks sumber. Kemudian data tersebut diterjemahkan oleh Google Translate (GT). Data terjemahan GT itu dianalisis dengan cara membandingkannya dengan instrumen pengukur tingkat kesepadanan terjemahan dan menjelaskan strategi pemadanan yang digunakan. Dengan melakukan hal tersebut kesalahan bahasanya dapat terlihat sehingga tingkat keakuratan terjemahan GT dapat dideskripsikan. Hasil penelitian ini menunjukan bahwa (1) Dari 13 data sumber hanya 4 data atau 31% yang merupakan terjemahan akurat, 7 data atau 54% merupakan terjemahan yang kurang akurat, dan 2 data atau 15% merupakan terjemahan tidak akurat. Dengan demikian tingkat kehandalannya sampai pada tingkat akurat hanya sebesar 31% saja. Sementara sekitar setengahnya lagi kurang dapat dipahami. Sedangkan sisanya tidak bisa dipahami. (2) Apabila strategi pemadanan yang seharusnya dipakai cukup transposisi dan terjemahan literal saja ternyata GT mampu menghasilkan terjemahan yang akurat. (3) Apabila strategi yang harus dipakai adalah strategi kombinasi antara transposisi dan modulasi atau deskriptif, strategi yang lebih sulit, GT hanya mampu menghasilkan terjemahan yang kurang akurat karena tetap menggunakan strategi penerjemahan literal dan transposisi saja. (4) Tetapi apabila strategi yang seharusnya dipakai hanya strategi modulasi saja GT hanya menghasilkan terjemahan tidak akurat, yang tidak bisa dipahami karena hanya mampu memakai strategi transposisi saja. Bahkan jika seharusnya strategi yang dipakai adalah sekedar transposisi, pada satu kasus, GT ternyata gagal menerjemahkan dan menghasilkan terjemahan tidak akurat karena strategi yang dipakainya adalah penerjemahan literal. Sebagai simpulan, khususnya dalam studi kasus ini, Google Translate hanya mampu menerjemahkan teks sumber berbahasa Inggris ke dalam bahasa Indonesia secara akurat jika strategi pemadanannya yang sesuai hanya sekedar literal atau transposisi.

2019 ◽  
Vol 12 (1) ◽  
pp. 34-48
Author(s):  
Monicha Destaria ◽  
Yulan Puspita Rini

Transferring meaning embedded by English idiom is not an easy way to do. The meaning contained by English Idiom cannot be comprehended by merely knowing the meaning from each word arranging the idiom. Dealing with English idiom in translation is quite hard because the translator has to transfer the meaning of English idiom into Bahasa Indonesia rightly. On the other hand, it is quite difficult to find the equivalence term in Bahasa Indonesia reflecting the same meaning as it is reflected in the source text. To manage this problem, the translation strategies need to be applied. This research focuses on analyzing the translation strategies used by the translator in transferring the meaning of English idioms into Bahasa Indonesia in the subtitle of  Pitch Perfect 3 Movie. The research method is descriptive qualitative method.. Baker’s translation strategies is used as guideline in classifying the translation strategies used. After finding the type of translation strategies employed, further identifying whether the meaning of English idiom is transferred rightly in Bahasa Indonesia. According to the finding, translation by using idiom in similar meaning and disimilar form was not used by the translator to translate the idioms. The frequency of  translation by using idiom in similar meaning but disimilar form strategy is 4 idioms. 46 idioms were translated by using paraphrased strategy. It is only 1 idiom was translated by using omission strategy. that the meaning of 36 idioms are transferred accurately. The meaning of four idioms were transferred Less-accurately. The meaning of 11 idioms were classified as inaccurate translation


2020 ◽  
Vol 5 (1) ◽  
pp. 17-22
Author(s):  
Ahmad Kailani ◽  
Dina Rafidiyah

Translating an L1 (source text) into a target language would be a daunting task and time-consuming work for students who are non-native speakers. It might be more challenging when the L1 text is a discipline specific text. Many words and specific terms are difficult to translate, and often unintended meanings emerge during this translation process. Although there has been considerable research on the translation studies, there has been still little study on how translators cope with the challenges. To fill this void, this case study is aimed to describe techniques employed by students majoring pharmacy in translating direction for use texts from English into Bahasa Indonesia. Adopting Vinay’s and Darbelnet’s (1996) translation methodology, this research is aimed to describe the translation process that students already undertook in order to produce texts that appropriately work in a particular social context. There are four drug brochures taken as samples of analysis. These texts are students’ assignment for the topic of translation.  This is a group work and part of the whole assessment. The study provides detailed and specific examples of how students tackle the challenges of translating discipline specific texts into equivalent languages that are socio-culturally and linguistically acceptable. HIGHLIGHTS: Translating a text is not simply to transfer the meaning of source text into the target text, but it requires the translator to have sufficient discipline specific knowledge. The challenges and problems faced by translators would be different from one another since each discipline specific text requires different strategies.


2019 ◽  
Vol 9 (1) ◽  
pp. 15
Author(s):  
Elyan Wijaya

Annotated translation is a study that provides annotations or notes on the chosen equivalents of a number of translated words as a form of translator’s accountability. Using a comparative model, this qualitative study aims to describe the problems that were encountered when translating the source text and finding the right translation strategy to be used for addressing the existing translation problems. In this research, the source text is a children literature (tale) titled Le Fils à la recherche de sa mère by Senegalese author. The problems that were encountered when translating this tale were issues related to language and culture, such as idioms, metaphors, and cultural words. The translation problems were then addressed by using translation strategies (methods and procedures) according to Newmark (1988). In generating translations and annotations, this research referred to various dictionaries and websites. The findings of this research are expected to enrich the French children literature translations from African countries that are rarely found in Indonesia.


2017 ◽  
Author(s):  
AWEJ for Translation & Literary Studies ◽  
Mohsine Khazrouni

The present study aims to highlight the importance of adaptation in translation. To convey the message, translators need to take into account not only the text, but also extra linguistic factors such as the target audience. The present paper claims that adaptation is an unavoidable translation strategy when dealing with texts that are heavy with religious and cultural themes. The translation task becomes even more challenging when dealing with children’s literature as the audience is children whose comprehension, experience and world knowledge is limited. The study uses the Arabic translation of the short story “Christmas Every Day” by William Dean Howells (1837- 1920) as a case study. The short story will be translated and the pragmatic problems involved will be discussed. The focus will be on the issue of adaptation. i.e., the source text should be adapted to the target language audience`s social and cultural environment.


Lexicon ◽  
2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Husnul Abdi ◽  
Aris Munandar

This research aims to study the use of idioms in Animal Farm (1954) and their translation into Bahasa Indonesia. The idioms found in the original text are classified based on the classification of idioms by Adam Makkai (1972). The idiom translation strategy is identified by comparing the idioms in the source text to the translation in the target text. The research identifies 156 idioms and classifies them into phrasal verb idioms (39%), tournure idioms (34%), irreversible binomials (11%), phrasal compound idioms (14%), and incorporating verb idioms (2%). There are 4 strategies to translate an idiom following Mona Baker (1992) and 1 strategy following Newmark (1991). The idiom translation strategy is classified into translating an idiom by using an idiom of similar meaning and form (1.92%), translating an idiom by using an idiom of similar meaning but different form (1.92%), translating an idiom by using paraphrase (85.90%), translating an idiom by using omission (0.64%), and literal translation strategy (9.62%).


Author(s):  
Maria Olivia Christina Sianipar

This research is aimed to find out the easy way for students in Indonesia to understand and to translate English text to Bahasa Indonesia. In doing this research, the researcher   uses a form of a detailed examination of one setting a single subject, a single depository of documents or one particular even which is stated by Bogdan & Biklen (1992:62) as a case study. However, the descriptive qualitative research as stated by Miles, Huberman and Saldana (2014) is applied in analyzing the data. Researcher realizes that Indonesian students are still very difficult to understand and translate the English texts as the texts are coded in grammatical metaphor. Although Indonesian students already get English lesson from grade school or at junior high school, but still they are difficult to understand and translate any kinds of English text. It is expected by applying transgrammatical semantic domains Indonesian students can understand the texts and can translate the English text into good Bahasa Indonesia. This narrative text entitled ‘Three Fishes’ which is a short interesting story that has a good lesson, that makes easy to understand about the topic of this research that is knowledge or competence of Grammatical Metaphor and Transgrammatical Semantic in Text which is written in English. This way Indonesian students will be more interesting to read the text because they can understand and translate the text into Bahasa Indonesia easier.


2021 ◽  
Vol 13 (15) ◽  
pp. 8490
Author(s):  
Hongjie Peng ◽  
Lei Hua ◽  
Xuesong Zhang ◽  
Xuying Yuan ◽  
Jianhao Li

In recent years, ecosystem service values (ESV) have attracted much attention. However, studies that use ecological sensitivity methods as a basis for predicting future urban expansion and thus analyzing spatial-temporal change of ESV are scarce in the region. In this study, we used the CA-Markov model to predict the 2030 urban expansion under ecological sensitivity in the Three Gorges reservoir area based on multi-source data, estimations of ESV from 2000 to 2018 and predictions of ESV losses from 2018 to 2030. Research results: (i) In the concept of green development, the ecological sensitive zone has been identified in Three Gorges reservoir area; it accounts for about 35.86% of the study area. (ii) It is predicted that the 2030 urban land will reach 211,412.51 ha by overlaying the ecological sensitive zone. (iii) The total ESV of Three Gorges Reservoir area showed an increasing trend from 2000 to 2018 with growth values of about USD 3644.26 million, but the ESVs of 16 districts were decreasing, with Dadukou and Jiangbei having the highest reductions. (iv) New urban land increases by 80,026.02 ha from 2018 to 2030. The overall ESV losses are about USD 268.75 million. Jiulongpo, Banan and Shapingba had the highest ESV losses.


2010 ◽  
Vol 26-28 ◽  
pp. 620-624 ◽  
Author(s):  
Zhan Wei Du ◽  
Yong Jian Yang ◽  
Yong Xiong Sun ◽  
Chi Jun Zhang ◽  
Tuan Liang Li

This paper presents a modified Ant Colony Algorithm(ACA) called route-update ant colony algorithm(RUACA). The research attention is focused on improving the computational efficiency in the TSP problem. A new impact factor is introduced and proved to be effective for reducing the convergence time in the RUACA performance. In order to assess the RUACA performance, a simply supported data set of cities, which was taken as the source data in previous research using traditional ACA and genetic algorithm(GA), is chosen as a benchmark case study. Comparing with the ACA and GA results, it is shown that the presented RUACA has successfully solved the TSP problem. The results of the proposed algorithm are found to be satisfactory.


Author(s):  
Zhao Meijuan ◽  
◽  
Ang Lay Hoon ◽  
Florence Toh Haw Ching ◽  
Sabariah Md Rashid ◽  
...  

Translated children’s works from English to Chinese have flooded China unprecedentedly since the end of the 19PthP century. However, there is a discrepancy in the translation of Chinese children’s works into the English language. This is maybe because western scholars are still largely ignoring Asian texts for young readers. Therefore, the research aims to fill the gap in the scholarship by studying the translated Bronze and Sunflower, which is a renowned work written by the Chinese first Hans Christian Anderson winner Cao Wenxuan, from the aspect of narrative space. A qualitative approach is adopted to compare the similarities and differences of narrative space between the source text and the target text. The samples will be taken from Cao Wenxuan’s Bronze and Sunflower and its English translation. The textual analysis is illuminated through the narratological framework, which is based on three-layered space: The topographic level, the chronotopic level and the textual level. The study explores how narrative space is constructed in the process of translating Bronze and Sunflower. It is hoped that the findings of the study will show how space is created in a different languagea, and that the translator prefers to change the narrative space rather than keeping the same spatial structure in the target text.


Sign in / Sign up

Export Citation Format

Share Document