scholarly journals The Use of Humor as a Pragmatic Device in Indonesian Studium Generale Lectures

SUAR BETANG ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 219-231
Author(s):  
Muhammad Rizqi
Keyword(s):  
Academic Discourse ◽  
Academic Environment ◽  
Academic Cultures ◽  
Aggressive Humor ◽  
Youtube Videos

This paper concerns the use of humor as a pragmatic device in academic discourse. The previous studies in this area has shown that, though unlikely, humor is commonly used in academic discourse—both that of written and spoken nature. Among many aspects analyzed in the studies of academic discourse, some are related to academic cultures. With a deliberate consideration of this existing body of literature, this research aims to contribute in area by examining the use of humor in a specific academic environment, Indonesia. The data analyzed are selected transcripts from chosen YouTube videos of studium generale lectures by three Indonesian political figures. The usage of humor will be identified and analyzed pragmatically, and further classified on a table based on the classification of humor by Martin, Puhlik-Doris, Larsen, Grey Weir (2003). The findings of this study show that in Indonesian studium generale lectures, all four types of humor in the theory occurred, and the most frequently used type of humor is aggressive humor, to which offensive jokes belong.

TURN TAKING STRATEGIES IN POLITICAL DEBATES

2020 ◽  
Vol 2 (2) ◽  
pp. 56-63
Author(s):  
Desi Dwi Natalia ◽  
Fajar Subekti ◽  
Ni Ketut Mirahayuni
Keyword(s):  
Dominant Strategy ◽  
Political Debates ◽  
Communication Mechanism ◽  
Turn Taking ◽  
Youtube Videos ◽  
Presidential Debate ◽  
Descriptive Qualitative

This article reports on two separate studies—Natalia (2019) and Subekti (2019)—on  communication mechanism in political debates. Specifically these studies focus on turn taking strategies adopted in political debates by political figures during their campaign for presidency or in dealing with specific issues. Both studies adopted Stenstrom’s (1994) classification of turn taking strategies which include three main strategies: taking the turn, holding the turn, and yielding the turn, each of which was further specified into more specific strategies. The data were two Youtube videos: first, Trump and Clinton First Presidential Debate 2016 (36 minutes 22 seconds [Natalia, 2019]) and second, BBC World Debate “Why Poverty”November 30,2012 (47 minutes 16 seconds, [Subekti, 2019]). Employing descriptive qualitative, with the aim of analyzing turn taking strategies adopted in the debates, both studies found interesting points: first, Stenstrom’s three strategies appeared in the debates; second, taking the turn strategy was the dominant strategy, followed by holding the turn strategy and the least used one was yielding to turn; and third, interruption which was a specific type of taking the turn strategy seems to be most often used in the debater’s attempt to maintain the turn and present their points and thus dominate the debate.

scholarly journals Online comments as input enhancement

2021 ◽  
Vol 29 (2) ◽  
pp. 44-54
Author(s):  
Dukhayel Aldukhayel
Keyword(s):  
Listening Comprehension ◽  
Vocabulary Learning ◽  
Input Enhancement ◽  
Teaching Of Reading ◽  
Online Comments ◽  
Different Types ◽  
L2 Learners ◽  
Youtube Videos ◽  
Linguistic Input

Chapelle (2003) proposed three general types of input enhancement that help L2 learners “acquire features of the linguistic input that they are exposed to during the course reading or listening for meaning” (p. 40): input salience, input modification, and input elaboration. In 2010, Cárdenas-Claros and Gruba argued that Chapelle’s different types of input enhancement “can be and have been operationalized through help options” primarily utilized in the teaching of reading, listening, writing, grammar, and vocabulary such as glossed words, video/audio control features, captions, subtitles, and grammar explanations (p. 79). As understood from Cárdenas-Claros and Gruba’s classification of help options, input enhancement can only be accomplished through one process: salience, modification, or elaboration. In this article, we argue that YouTube comments have the potential to be (1) a help option that facilitate both listening comprehension of the videos and vocabulary learning and that (2) input enhancement accomplished by comments can be achieved by a combination of different types of input enhancement. Put another way, the aural input of a YouTube video can be salient, modified, and elaborated, thanks to the various types of comments YouTube videos often receive.

Classification of Visual Marker in YouTube Videos: A Preliminary Outlook

2021 ◽  
pp. 87-98
Author(s):  
Anitawati Mohd Lokman ◽  
Roshaliza Mohd Rosli ◽  
Syaripah Ruzaini Syed Aris
Keyword(s):  
Youtube Videos ◽  
Visual Marker

scholarly journals Sentence-structure errors of machine translation into Slovak

2021 ◽  
Vol 22 (1) ◽  
pp. 78-92
Author(s):  
Katarína Welnitzová ◽  
Daša Munková
Keyword(s):  
Error Analysis ◽  
Machine Translation ◽  
Word Order ◽  
Academic Environment ◽  
Sentence Structure ◽  
Research Results ◽  
Interdisciplinary Character ◽  
Slovak Language

Abstract The study identifies, classifies and analyses errors in machine translation (MT) outputs of journalistic texts from English into Slovak, using error analysis. The research results presented in the study are pioneering, since the issue of machine translation – with its strong interdisciplinary character and novelty – has not yet been studied in the Slovak academic environment. The evaluation of the errors is based on a framework for classification of MT errors devised by Vaňko, which was arranged for the Slovak language. The study discusses and explains the issues of sentence structure, including predicativeness, syntactic-semantic correlativeness, and a modal and communication sentence framework. We discovered that the majority of the errors are related to the categories of agreement, word order and nominal morpho-syntax. This fact clearly correlates with features of journalistic texts, in which nominal structures and nouns in all realizations are used to a great extent. Moreover, there are some serious differences between the languages which limit and affect the quality of translation.

scholarly journals A Study on the Interpersonal Functions of Hedges in Academic Discourses

2021 ◽  
Vol 7 (1) ◽  
pp. 33-37
Author(s):  
Jie Chen ◽  
◽  
Yi Zhang
Keyword(s):  
Language Learning ◽  
Academic Discourse ◽  
English For Specific Purposes ◽  
Research Articles ◽  
Modal Verbs ◽  
Academic Discourses ◽  
The Relationship

Based on Hyland’s classification of hedges and Halliday’s theory of interpersonal functions, this study selected 30 research articles (RA) from Language Learning and English for Specific Purposes. This study employed software Antconc and manual checking to identify and tag hedges, investigating the distribution and interpersonal functions of hedges in the RAs. The main findings are: (1) Regarding the overall distribution, modal verbs are used most frequently, followed by epistemic adverbs, epistemic adjectives and epistemic verbs, and epistemic nouns are the least frequently used; (2) Hedges are most frequently used in the section of results and discussion. It is also found that hedges have the interpersonal functions of involving readers, coordinating the relationship between the author and the reader, highlighting the author’s stance and constructing the academic discourse groups.

Multimodal genre classification of TV programs and YouTube videos

2011 ◽  
Vol 63 (2) ◽  
pp. 547-567 ◽  
Author(s):  
Hazım Kemal Ekenel ◽  
Tomas Semela
Keyword(s):  
Genre Classification ◽  
Youtube Videos

scholarly journals Analysis and Classification of User Comments on YouTube Videos

2020 ◽  
Vol 177 ◽  
pp. 593-598
Author(s):  
K.M. Kavitha ◽  
Asha Shetty ◽  
Bryan Abreo ◽  
Adline D’Souza ◽  
Akarsha Kondana
Keyword(s):  
User Comments ◽  
Youtube Videos

scholarly journals Optimizing Prediction of YouTube Video Popularity Using XGBoost

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2962
Author(s):  
Meher UN Nisa ◽  
Danish Mahmood ◽  
Ghufran Ahmed ◽  
Suleman Khan ◽  
Mazin Abed Mohammed ◽  
...  
Keyword(s):  
Cross Validation ◽  
Features Selection ◽  
Validation Methods ◽  
Accuracy And Precision ◽  
Youtube Videos

YouTube is a source of income for many people, and therefore a video’s popularity ultimately becomes the top priority for sustaining a steady income, provided that the popularity of videos remains the highest. Analysts and researchers use different algorithms and models to predict the maximum viewership of popular videos. This study predicts the popularity of such videos using the XGBoost model, considering features selection, fusion, min-max normalization and some precision parameters such as gamma, eta, learning_rate etc. The XGBoost gives 86% accuracy and 64% precision. Moreover, the Tuned XGboost also shows enhanced accuracy and precision. We have also analyzed the classification of unpopular videos for a comparison with our results. Finally, cross-validation methods are also used to evaluate certain combination of parameter’s values to validate our claims. Based on the obtained results, it can be said that our proposed models and techniques are very useful and can precisely and accurately predict the popularity of YouTube videos.

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