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Journal : Lingua Scientia Journal

A COMPARISON OF TRANSLATION READABILITY BETWEEN GOOGLE TRANSLATE AND HUMAN TRANSLATOR IN THE MEDICAL BOOK ENTITLED ‘MEDICAL-SURGICAL NURSING’ Friska Setiawati, Ida Ayu Made; Yadnya, I. B. Putra; Aryawibawa, I Nyoman
Lingua Scientia Vol 27, No 2 (2020)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ls.v27i2.25590

Abstract

This study aims to analyze the readability of translation outputs by Google Translate and huThis study aims to analyze the readability of translation outputs by Google Translate and human translator. This study was categorized as a descriptive qualitative research that the scale of readability level was used to analyze the data. The source text was the English text from the book ‘Medical-Surgical Nursing’, while the target text was the translation outputs produced by Google Translate. The Indonesian version of this book entitled ‘Keperawatan Medikal Bedah’ was used as the output of the target language which was produced by human translators. A questionnaire in the form of a Google Form was distributed to nine respondents to determine the readability level of each translation.  The result showed that the percentage of readability level produced by Google were 52% highly readable, 29.6% readable, 16% somewhat difficult, and 2.4% very difficult. Meanwhile, the readability level of the human translation was 55.1% highly readable, 31.2% readable, 12.6% somewhat difficult, and 1.1% very difficult. The results indicated that there is a slight difference of 4% in the result of the readability level produced by Google Translate and human translators. The result of the translations prove that the result of Google’s translation is now more natural, almost as natural as human translation, and makes it easier to understand. However, the results of the translation produced by Google Translate still require an editing process by human translators to produce a more contextual translation.man translator. This study was categorized as a descriptive qualitative research that the scale of readability level was used to analyze the data. The source text was the English text from the book ‘Medical-Surgical Nursing’, while the target text was the translation outputs produced by Google Translate. The Indonesian version of this book entitled ‘Keperawatan Medikal Bedah’ was used as the output of the target language which was produced by a human translator. A questionnaire in the form of a Google Form was distributed to the nine respondents to determine the readability level of each translation.  The result showed that the percentage of readability level produced by Google were 52% highly readable, 29.6% readable, 16% somewhat difficult, and 2.4% very difficult. Meanwhile, the readability level of the human translation was 55.1% highly readable, 31.2% readable, 12.6% somewhat difficult, and 1.1% very difficult. The results indicated that there is a slight difference of 4% in the result of the readability level produced by Google Translate and human translator. This proves that the result of Google’s translation is now more natural, almost as natural as human translation, and makes it easier to understand. However, the results of the translation produced by Google Translate still require an editing process by human translators to produce a more contextual translation.
A COMPARISON OF TRANSLATION READABILITY BETWEEN GOOGLE TRANSLATE AND HUMAN TRANSLATOR IN THE MEDICAL BOOK ENTITLED ‘MEDICAL-SURGICAL NURSING’ Ida Ayu Made Friska Setiawati; I. B. Putra Yadnya; I Nyoman Aryawibawa
Lingua Scientia Vol. 27 No. 2 (2020)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ls.v27i2.25590

Abstract

This study aims to analyze the readability of translation outputs by Google Translate and huThis study aims to analyze the readability of translation outputs by Google Translate and human translator. This study was categorized as a descriptive qualitative research that the scale of readability level was used to analyze the data. The source text was the English text from the book ‘Medical-Surgical Nursing’, while the target text was the translation outputs produced by Google Translate. The Indonesian version of this book entitled ‘Keperawatan Medikal Bedah’ was used as the output of the target language which was produced by human translators. A questionnaire in the form of a Google Form was distributed to nine respondents to determine the readability level of each translation.  The result showed that the percentage of readability level produced by Google were 52% highly readable, 29.6% readable, 16% somewhat difficult, and 2.4% very difficult. Meanwhile, the readability level of the human translation was 55.1% highly readable, 31.2% readable, 12.6% somewhat difficult, and 1.1% very difficult. The results indicated that there is a slight difference of 4% in the result of the readability level produced by Google Translate and human translators. The result of the translations prove that the result of Google’s translation is now more natural, almost as natural as human translation, and makes it easier to understand. However, the results of the translation produced by Google Translate still require an editing process by human translators to produce a more contextual translation.man translator. This study was categorized as a descriptive qualitative research that the scale of readability level was used to analyze the data. The source text was the English text from the book ‘Medical-Surgical Nursing’, while the target text was the translation outputs produced by Google Translate. The Indonesian version of this book entitled ‘Keperawatan Medikal Bedah’ was used as the output of the target language which was produced by a human translator. A questionnaire in the form of a Google Form was distributed to the nine respondents to determine the readability level of each translation.  The result showed that the percentage of readability level produced by Google were 52% highly readable, 29.6% readable, 16% somewhat difficult, and 2.4% very difficult. Meanwhile, the readability level of the human translation was 55.1% highly readable, 31.2% readable, 12.6% somewhat difficult, and 1.1% very difficult. The results indicated that there is a slight difference of 4% in the result of the readability level produced by Google Translate and human translator. This proves that the result of Google’s translation is now more natural, almost as natural as human translation, and makes it easier to understand. However, the results of the translation produced by Google Translate still require an editing process by human translators to produce a more contextual translation.
Co-Authors Ade Sintya Devi Agus Made Yoga Iswara Alfia Rifatus Saida Amrin Saragih Anak Agung Putu Putra Arif Bagus Prasetyo Arif Bagus Prasetyo, Arif Bagus Aron Meko Mbete Aron Meko Mbete Aron Meko Mbete Mbete Asril Marjohan Marjohan Christina Made Dwi Utami Dwi Kuniarsa, I Gusti Ngurah Eddy Setia Fardini Sabilah Frans I Made Brata Friska Setiawati, Ida Ayu Made Gaby Kumala Dewi Santoso Hanny Hafiar Hugo Warami I Gede Putu Sudana I Gst Ngurah Kt Sulibra I Gst Ngurah Kt Sulibra, I Gst Ngurah I Gusti Agung Istri Aryani I Gusti Ayu Agung Dian Susanthi I Gusti Ayu Gede Sosiowati I Gusti Ayu Vina Widiadnya Putri I Gusti Bagus Wahyu Nugraha Putra I Gusti Made Sutjaja I Gusti Ngurah Parthama I Ketut Artawa I Ketut Darma Laksana I Ketut Paramarta I Made Budiarsa I Made Sena Darmasetiyawan I Nengah Sudipa I Nengah Suryawan I Nyoman Aryawibawa I Nyoman Sedeng I NYOMAN SUPARWA I Wayan Mulyawan I WAYAN PASTIKA I Wayan Simpen Ida Ayu Made Friska Setiawati Ida Ayu Made Puspani Jamhari Jamhari Jaynne Ilyanora Patricia Kadek Ari Sintya Dewi Kadek Ayu Ekasani Kanisius Rambut Ketut Sudrama Ketut Widya Purnawati Kletus Erom Laksono Trisnantoro Luh Putu Laksminy Made Dody Aryawan Made Sri Satyawati Maryanti E. Mokoagouw Mirsa Umiyati Ni Kadek Sindiasti Rahanita Prativi Ni Ketut Alit Ida Setianingsih Ni Luh Ketut Mas Indrawati Ni Luh Nyoman Seri Malini Ni Luh Putu Unix Sumartini Ni Luh Putu Unix Sumartini, Ni Luh Putu Unix Ni Luh Sutjiati Beratha Ni Made Ariani Ni Made Dhanawaty Ni Made Erfiani Ni Made Soraya Meranggi NI MADE WIASTI Ni Nyoman Ayu Widyari Ni Nyoman Padmadewi Ni Nyoman Sarmi Ni Putu Diah Darmayanti Ni Wayan Suastini Ni Wayan Sukarini Putri, Putu Zalsa Swandari Putu Sutama Sang Ayu Isnu Maharani Sang Made Wahyu Rusmayana Santi Indriani, Ketut Saputra, I Gusti Ngurah Alit Dwi Sarwadi sarwadi Sulibra, I Ketut Ngurah Tatu Rija Veronika Genua Yayi Suryo Prabandari