1,720,954 research outputs found
STUDENTS’ PERCEPTIONS OF THE USE OF DEEPL TRANSLATOR IN TRANSLATING ACADEMIC TEXT FROM INDONESIAN INTO ENGLISH
No full textThe purpose of this research was to determine students\u27 perceptions of using DeepL Translator to translate academic texts from Indonesian into English. DeepL Translator is an artificial intelligence (AI)-based translation tool that uses neural machine translation (NMT) technology to translate text between various languages. This research involved 2021 students from Sunan Gunung Djati State Islamic University Bandung who took the Education Translation course.
This research employs a case study design and qualitative methods. Interviews and document analysis were the methods used to get data. This research investigates the phenomena surrounding using DeepL Translator in Education Translation classes through in-depth interviews. Purposive sampling was used in the research for sample selection. Three students were chosen as respondents to participate in interviews and document analyses.
This research indicates that using DeepL Translator to translate academic texts from Indonesian into English has a positive impact. After using DeepL Translator, students feel helped and can improve the quality of student translations.
Since the results of document analysis are given to students, students can pay attention to the quality of translated text from Indonesian into English by completing this research. Furthermore, lecturers are expected to be able to use translation machines such as DeepL Translator in translation classes as a learning medium, following technological developments and strengthening students\u27 translation skills
Students' perceptions of the Use of deepL translator in translating academic text from Indonesian into English: A Case Study at State Islamic University of Sunan Gunung Djati Bandung
Get PDFThe purpose of this research was to determine students' perceptions of using DeepL Translator to translate academic texts from Indonesian into English. DeepL Translator is an artificial intelligence (AI)-based translation tool that uses neural machine translation (NMT) technology to translate text between various languages. This research involved 2021 students from Sunan Gunung Djati State Islamic University Bandung who took the Education Translation course.
This research employs a case study design and qualitative methods. Interviews and document analysis were the methods used to get data. This research investigates the phenomena surrounding using DeepL Translator in Education Translation classes through in-depth interviews. Purposive sampling was used in the research for sample selection. Three students were chosen as respondents to participate in interviews and document analyses.
This research indicates that using DeepL Translator to translate academic texts from Indonesian into English has a positive impact. After using DeepL Translator, students feel helped and can improve the quality of student translations.
Since the results of document analysis are given to students, students can pay attention to the quality of translated text from Indonesian into English by completing this research. Furthermore, lecturers are expected to be able to use translation machines such as DeepL Translator in translation classes as a learning medium, following technological developments and strengthening students' translation skills
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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