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Contrastive Analysis Between English Medical Terms with Affixes and Their Indonesian Equivalent in Dorland’s Illustrated Medical Dictionary 多兰《医学插图词典》中带词缀的英语医学术语与印尼语医学术语的对比分析
Pub Date : 2023-10-26 DOI: 10.61320/jolcc.v1i2.126-140
Nur Indah Sulistyowati Lutfiyah, Jumanto Jumanto
Medical terms are language units used to describe medical conditions such as diseases, symptoms, anatomy, and procedures. Medical terms are composed of a combination of affixes and root words. This research focused on contrastive analysis, a study comparing two languages, the source language and their equivalent in the target language. This study aims (1) to find out similarities between English medical terms with affixes in English and their Indonesian equivalents in Dorland's Illustrated Medical Dictionary (2) to find out differences between English medical terms with affixes in English and their Indonesian equivalents in Dorland's Illustrated Medical Dictionary (3) to predict learning problems based on the differences between English medical terms with affixes in English and their Indonesian equivalents in Dorland's Illustrated Medical Dictionary. The data source of this research is "Dorland's Illustrated Medical Dictionary 31st edition" by W.A. Newman Dorland and translated into Indonesian under the title " Kamus Kedokteran Dorland Edisi 3" by Retna Neary Elseria et al. This research is qualitative, and the type of research is library research. The study's results revealed seven affix English medical terms that have similarities with Indonesian equivalents and 93 terms that differ from Indonesian equivalents. The similarities and differences are divided into prefixes and suffixes. There are 8 types of prefixes and 4 types of suffixes. Predictions of problems that may occur in these conditions are in different forms, uses, and meanings. This research is expected to help better understand affixes in English medical terms and their Indonesian equivalents.
医学术语是用来描述诸如疾病、症状、解剖结构和程序等医疗条件的语言单位。医学术语由词缀和词根组合而成。本研究的重点是对比分析,即对两种语言,即源语言和目的语中的对等语进行比较研究。本研究的目的是(1)找出英语词缀医学术语与多兰医学插图词典中印尼语同义词的相似之处(2)找出英语词缀医学术语与多兰医学插图词典中印尼语同义词的差异(3)根据英语词缀医学术语与多兰医学插图词典中印尼语同义词的差异来预测学习问题插图医学词典。本研究的数据来源为W.A. Newman Dorland所著的《Dorland’s Illustrated Medical Dictionary》第31版,并由Retna Neary Elseria等人以“Kamus Kedokteran Dorland edii 3”的标题翻译成印尼语。本研究为定性研究,研究类型为图书馆研究。研究结果显示,英语医学术语中有7个词缀与印尼语相似,93个词缀与印尼语不同。其异同分为前缀和后缀。有8种前缀和4种后缀。在这些条件下可能发生的问题的预测有不同的形式、用途和含义。这项研究有望帮助人们更好地理解英语医学术语及其印尼语同义词的词缀。
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引用次数: 0
Having Good Moral Values Through "Never Say Never" Song by Justin Bieber 通过贾斯汀·比伯的《永不言败》,拥有良好的道德价值观
Pub Date : 2023-10-26 DOI: 10.61320/jolcc.v1i2.116-125
None Yuli Rohmiyati, Sabrina Fatihah, Putri Solihatunnisa
The lyrics emphasize the importance of determination and having a positive mindset to overcome obstacles. This research paper analyzes the moral values present in the song "Never Say Never” by Justin Bieber. The study aims to explore the moral values conveyed in the song lyrics. This research used a qualitative approach to analyze this song lyric. The data was analyzed by identifying, classifying, and interpreting the moral values. The findings of research found that three main moral values in the song: self-belief (57,14%), positivity (21,42%), and optimism (21,42%). The dominant moral value identified was self-belief, followed by positivity and optimism. These moral values can make students inspiring, provide them positive energy, and enable them to carry out worthwhile activities into education and personal development
歌词强调了克服困难的决心和积极心态的重要性。本研究分析了贾斯汀·比伯的歌曲《Never Say Never》中所体现的道德价值观。本研究旨在探讨歌曲歌词所传达的道德价值观。本研究采用定性的方法来分析这首歌的歌词。通过识别、分类和解释道德价值观来分析数据。研究发现,歌曲中的三个主要道德价值观是:自信(57,14%),积极(21,42%)和乐观(21,42%)。主要的道德价值是自信,其次是积极和乐观。这些道德价值观可以鼓舞学生,为他们提供正能量,使他们能够在教育和个人发展中开展有价值的活动
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引用次数: 0
YouTube Transcripts Word Frequency Measure YouTube转录词频测量
Pub Date : 2023-09-11 DOI: 10.61320/jolcc.v1i2.91-99
Vincent Smith, Michael Garrett, Austin Harwood, James Shamblin
Many YouTube videos provide written audio transcripts which provide information on the language used on YouTube. One important measure relating to language usage is word frequency. Using student-developed software and libraries in R, Python, and Microsoft Excel, the transcripts of one million YouTube videos from the YouTube-8M data set were scraped and analyzed. The word frequency of the YouTube data set was shown to correlate with commonly used word frequency measures from established studies, such as the subtitle word frequency and the HAL word frequency.
许多YouTube视频提供书面音频记录,提供YouTube上使用的语言信息。与语言使用有关的一个重要指标是词频。使用学生开发的软件和R, Python和Microsoft Excel中的库,从YouTube- 8m数据集中抓取并分析了100万个YouTube视频的文本。YouTube数据集的词频被证明与已建立的研究中常用的词频测量相关,例如副标题词频和HAL词频。
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引用次数: 0
An Analysis of Speech Act in the Movie "Turning Red" 电影《变红》中的言语行为分析
Pub Date : 2023-09-10 DOI: 10.61320/jolcc.v1i2.100-115
Hasyifa Diffani, Adhan Kholis
A movie consists of a dialogue between its characters. Both the speaker and the listener use many different kinds of utterances. In communication, we use utterances in action, also known as speech actions. This research aimed to determine the types of speech acts performed by the characters and determine the function of the speech acts performed by the characters in Turning Red's movie. A movie can deliver a message to the audience as one form of communication. It contains a variety of genres, making it an interesting topic to be a research. In this case, understanding speech act theory becomes essential for solving the issue. Speech acts are things that can be accomplished through speech. There are three types of speech acts: locutionary, illocutionary, and perlocutionary. The movie has been chosen since it is a children's genre movie representative of Asian parenting style and leaves the deepest messages to children. The data were taken directly from the movie dialogue, focusing on the speech acts uttered by the characters and the context of the occurrence of the utterance. In collecting the data, the researchers transcribed the data comprehensively, which were analyzed using content analysis on the movie Turning Red. The researchers analyzed some illocutionary acts in the movie conversation. The data was divided into five types: directive, representative, declarative, commissive, and expressive. Teachers can create relevant and engaging learning experiences that build pragmatic competence and improve students' communicative skills by adding actual speech acts from movies into language lessons. It helps to understand how movies can be used as valuable instruments in English language teaching, especially in the development of language acquisition.
电影由人物之间的对话组成。说话者和听者都使用许多不同的话语。在交流中,我们使用动作中的话语,也称为言语动作。本研究旨在确定《Turning Red》电影中角色的言语行为类型以及角色言语行为的功能。电影可以作为一种交流方式向观众传递信息。它包含多种类型,使其成为一个有趣的研究课题。在这种情况下,理解言语行为理论对于解决这一问题至关重要。言语行为是可以通过言语完成的事情。言语行为有三种类型:言外行为、言外行为和言后行为。这部电影是代表亚洲育儿方式的儿童类型电影,给孩子们留下了最深刻的信息,因此被选中。数据直接取自电影对白,重点关注人物的言语行为和话语发生的语境。在收集数据的过程中,研究人员对数据进行了综合转录,并利用电影《变红》的内容分析对数据进行了分析。研究人员分析了电影对话中的一些言外行为。数据分为五种类型:指导性、代表性、陈述性、委托性和表现性。教师可以通过在语言课中加入电影中的实际言语行为,创造相关的、引人入胜的学习体验,培养学生的语用能力,提高学生的交际能力。它有助于理解电影如何在英语教学中,特别是在语言习得的发展中作为有价值的工具。
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引用次数: 0
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Journal of Linguistics Culture and Communication
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