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Journal articles on the topic 'No english keywords'

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Published: 4 June 2021
Last updated: 1 June 2024

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1

Clarke, John, and Jacqueline Baxter. "Satisfactory Progress? Keywords in English School Inspection." Education Inquiry 5, no. 4 (2014): 23485. http://dx.doi.org/10.3402/edui.v5.23485.

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2

Prasad, M. Madhava. "Two keywords for South Asia: English and translation." Critical Quarterly 61, no. 3 (2019): 46–51. http://dx.doi.org/10.1111/criq.12488.

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3

Lee, Sang-Oak. "Proverbial homogeneity: A cross-linguistic examination of Korean and Indonesian." Korean Linguistics 16, no. 1 (2014): 63–81. http://dx.doi.org/10.1075/kl.16.1.04lee.

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This study explores the use of keywords in proverbs in Korean, English, Chinese, and Indonesian. The study applies the traditional corpus linguistic tools of frequency and ranking to the keywords found in proverbs in an attempt to characterize the proverbs of these languages. The frequency data show that English proverbs are dominated by abstract keywords like “love, God, age, foolishness, wisdom, poverty, good, evil, and truth.” On the other hand, Chinese proverbs are dominated by more “action oriented” and “pragmatic concern” keywords such as “heart, time, talk/say, act/do, words, method, and knowledge,” showing a clear divergence from the frequency structure of English proverb keywords. Surprisingly, Korean proverb keywords, just like the English keywords, are also found to share very little in common with Chinese, a longstanding neighbor which has strongly influenced the cultural life of Korea over the last two millennia. Instead, the data show that the proverb keyword structure most resembles that of Indonesian, both having material/physical terms dominating the keywords and both sharing three common top-ranking keywords: water, dog, and cow.
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Lee, Sung-Min, and Se-Eun Jhang. "A Comparison of Author Keywords and Corpus Keywords in English Academic Genre of ESP." Journal of Language Sciences 23, no. 3 (2016): 201–23. http://dx.doi.org/10.14384/kals.2016.23.3.201.

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5

Qiu, Jiaosheng. "Research on the Relationship between Intelligent Analysis and Weight of Keywords in English Test Questions." Wireless Communications and Mobile Computing 2022 (April 6, 2022): 1–11. http://dx.doi.org/10.1155/2022/3480746.

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With the rapid development of educational informationization, Internet of Things, and other technologies, English education has been paid special attention to, and all aspects such as educational model, learning behavior, teaching philosophy, and teaching evaluation have been greatly influenced by educational informationization. Based on the experience of practical education, this paper explores and studies the connotation and characteristics of English test questions and its influence and application on modern English test questions. This paper constructs a systematic method to extract keywords from English test questions. It perfects the fair and reasonable index of English keywords, establishes the weight system, discusses the relationship of keywords, and conducts academic research on vocabulary, word frequency and word position, emphatically adopts BayesNet algorithm to extract keywords, and realizes the evaluation system of English test keywords based on intelligent analysis and weight relationship. The results show that (1) selecting the calculation method and weight relationship suitable for the text system to carry out intelligent analysis, the weight ratio exceeds 65%; that is, the text keyword retrieval is successful. (2) The average accuracy (%), average recall (%) and average F -measure (%) in weighted names are almost less than 70%. Only the BayesNet algorithm has 72.3% weight analysis in keyword extraction in reading comprehension. (3) KEA algorithm, PAT TERR algorithm, and BayesNet algorithm take 0-2.8 s, 0-2.6 s, and 0-2.1 s, respectively, and the BayesNet algorithm takes the shortest time. The calculation time of users is greatly saved. (4) According to the calculation results of CPT model, the sum of the weights of the three algorithms is equal to 1, and the BayesNet algorithm is dominant in extracting keywords with a weight analysis of 0.529 in verb translation.
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6

Li, Jinye. "A comparative study of keyword extraction algorithms for English texts." Journal of Intelligent Systems 30, no. 1 (2021): 808–15. http://dx.doi.org/10.1515/jisys-2021-0040.

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Abstract This study mainly analyzed the keyword extraction of English text. First, two commonly used algorithms, the term frequency–inverse document frequency (TF–IDF) algorithm and the keyphrase extraction algorithm (KEA), were introduced. Then, an improved TF–IDF algorithm was designed, which improved the calculation of word frequency, and it was combined with the position weight to improve the performance of keyword extraction. Finally, 100 English literature was selected from the British Academic Written English Corpus for the analysis experiment. The results showed that the improved TF–IDF algorithm had the shortest running time and took only 4.93 s in processing 100 texts; the precision of the algorithms decreased with the increase of the number of extracted keywords. The comparison between the two algorithms demonstrated that the improved TF–IDF algorithm had the best performance, with a precision rate of 71.2%, a recall rate of 52.98%, and an F 1 score of 60.75%, when five keywords were extracted from each article. The experimental results show that the improved TF–IDF algorithm is effective in extracting English text keywords, which can be further promoted and applied in practice.
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Perazzini, Federica. "Figures of Fictionality: Keywords of the Eighteenth-Century English Novel." Nordic Journal of English Studies 19, no. 2 (2020): 21. http://dx.doi.org/10.35360/njes.558.

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8

Connors, C. "Frank Lentricchia and Andrew Dubois eds., Close Reading: The Reader; Julian Wolfreys ed., Glossalalia: An Alphabet of Critical Keywords." English 54, no. 208 (2005): 76–80. http://dx.doi.org/10.1093/english/54.208.76.

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9

Sulyaningsih, Iis. "State Polytechnic Students’ Perception on General English Subjects." Jurnal Bahasa Inggris Terapan 5, no. 1 (2019): 23–33. http://dx.doi.org/10.35313/jbit.v5i1.1553.

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This paper discusses the Bandung State Polytechnic Students’ perception towards General English classes (General English 1 and General English 2). The research is aimed to investigate the students’ perception towards the materials given in General English 1 and General English 2 classes. The survey was carried out to 110 students from 2 engineering classes and 2 non-engineering classes. This research applied quantitative method that used questioners to gain the data. Thus, the data were analyzed by applying SPSS, and the result shows that students’ perception on General English1 subject is different from their perception on General English 2 subject.They perceive thatGeneral English1 subject provides important basic skill for communication in English, however it needs improvement in some materials for there are some students doubt about it. On the other hand, students think that the materials in General English 2 do not reach their needs and expectations. Accordingly, General English in Bandung State Polytechnic needs to be developed. Keywords: English, General English, Polytechnic Curriculum
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10

Bowker, Lynne. "Machine translation and author keywords: A viable search strategy for scholars with limited English proficiency?" Advances in Classification Research Online 29, no. 1 (2019): 13. http://dx.doi.org/10.7152/acro.v29i1.15455.

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Author keywords are valuable for indexing articles and for information retrieval (IR). Most scientific literature is published in English. Can machine translation (MT) help researchers with limited English proficiency to search for information? We used two MT systems (Google Translate, DeepL Translator) to translate into English 71 Spanish keywords and 43 French keywords from articles in the domain of Library and Information Science. We then used the English translations to search the Library, Information Science and Technology Abstracts (LISTA) database. Half of the translated keywords returned relevant results. Of the half that did not, 34% were well translated but did not align with LISTA descriptors. Translation-related problems stemming from orthographic variation, synonymy, differing syntactic preferences, and semantic field coverage interfered with IR in just 16% of cases. Some of the MT errors are relatively “predictable” and if knowledge organization systems could be augmented to deal with them, then MT may prove even more useful for searching.
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11

Cholifah, Maria. "PENGAJARAN BAHASA BERBASIS TUGAS (TASK BASED LANGUAGE TEACHING): PENDEKATAN YANG EFEKTIF DALAM PENGAJARAN BAHASA INGGRIS." JURNAL ILMIAH BAHASA DAN SASTRA 4, no. 2 (2019): 131–39. http://dx.doi.org/10.21067/jibs.v4i2.3187.

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This paper highlights the benefits of implementing Task-Based Language Teaching (TBLT) in teaching-learning of four skills of English. TBLT focuses on how English language is applied in accomplishing a certain task. TBLT also cultivates studenys’ self-efficacy and enthusiasm in learning. Task-based activities create advantageous atmospheres in language learning since they focus on the outcomes of learning by maximizing the use of Engliah language. Furthermore, this paper discusses the essence, the purposes, and the effects of TBLT in enhancing students’ four skills of English. Keywords: TBLT, four skills of English, teaching-learning of English.
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12

Fu, Qijun, and Shouzhong Kuang. "Mind Map Construction for English Grammar Teaching Based on Knowledge Map." Scientific Programming 2021 (December 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/4921825.

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The analysis of the frontier issues of the English language teaching method in China is of great guidance for English language teaching. Based on the ontology model of English teaching domain, the knowledge map of English teaching in colleges and universities is constructed by fusing heterogeneous English subject data from multiple sources. Firstly, we obtain domain knowledge from relevant websites and existing documents through web crawlers and other techniques and clean the data based on BERT model; then, we use Word2Vec to judge the similarity between the research directions of characters and solve the entity alignment problem; based on the scientific knowledge map theory, we count the frequency of keywords in each year and analyze them to describe the association and union between keywords. It can explain the current situation and trend, rise and fall, disciplinary growth points, and breakthroughs of ELT. Through keyword analysis, the hot issues mainly revolve around ELT, English teaching, college English, grammar-translation method, curriculum reform, and so forth, to realize the quick query and resource statistics of ELT basic data, in order to promote the subsequent English discipline assessment work to be completed more efficiently.
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13

Król, Karol, and Dariusz Zdonek. "Cultural Heritage Topics in Online Queries: A Comparison between English- and Polish-Speaking Internet Users." Sustainability 15, no. 6 (2023): 5119. http://dx.doi.org/10.3390/su15065119.

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New communication channels and methods for retrieving information can provide increasingly precise data describing how cultural heritage is perceived, protected, promoted, and shared. Many internet users search for cultural-heritage-related topics using online search engines and databases. The purpose of this study was to identify the context and frequency of cultural heritage topics in Google search engine queries. The primary hypothesis was that keywords used in Google searches related to cultural heritage would be much more diversified in English than in Polish, perhaps because Polish has many fewer internet users than English. The keywords were selected because of their frequent use in the research literature, popular science publications, and central and local government strategy documents. The research employed selected online applications. A total of 3690 keywords were collected, with 1634 (44.3%) in Polish and 2056 (55.7%) in English. The numbers of retrieved keywords were similar for all research tools, but an in-depth analysis identified certain differences in the functions of the tools. The “cultural heritage” keyword in Polish (“dziedzictwo kulturowe”) was found mostly in national, regional, and local contexts. English queries included topics related to cultural heritage protection, conservation, restoration, and management and the financial value of cultural heritage. Some queries focused on world cultural heritage. The research shows that Polish-speaking users and English-speaking ones were interested in similar phrases. Therefore, the thought processes of internet users may be independent of their language.
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14

Galkina, Natalia P. "KEYWORDS IN TERMS OF FREQUENCY AND THEMATIC RELEVANCE." Vestnik of Kostroma State University 28, no. 3 (2023): 180–85. http://dx.doi.org/10.34216/1998-0817-2022-28-3-180-185.

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The article focuses on the role of keywords, their statistical data for determining the thematic dominance when working with large arrays of texts. The description is based on the materials of a typological linguistic study of the texts of military songs, the period of 1939-1945, in English and Russian. The selection of keywords was carried out on the basis of semantic, lexical-syntactic, morphological analysis, taking into account the frequency of their use. The frequency of using a word may not always be a defining feature for marking it as a keyword. Within the framework of one text, the keywords may be words that help understand the sense, unravel its deep meaning, remember the content. When combining a large number of texts, by authorship, chronology, thematic, stylistic or other relatedness, the frequency of keywords matters and can serve as a determining factor, a classification criterion. This paper shows that the results of the thematic distribution of texts based on the semantic analysis of their content correspond to the results of statistical analysis of the keywords and are confirmed by machine quantitative indicators of their frequency. The results are relevant for both Russian-language and English- language materials.
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15

Narcy-Combes, Jean-Paul. "Scott Thornbury, Natural Grammar Keywords of English and How They Work." Recherche et pratiques pédagogiques en langues de spécialité - Cahiers de l APLIUT, Vol. XXIII N° 2 (June 15, 2004): 111–12. http://dx.doi.org/10.4000/apliut.3391.

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16

Бісікало, Олег Володимирович, and Олександр Вікторович Яхимович. "Method of determining keywords for English texts based on DKPro Core." Technology audit and production reserves 1, no. 2(21) (2015): 26. http://dx.doi.org/10.15587/2312-8372.2015.37274.

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17

Matthews, Graham, and Cheung Hiu Tung. "Digital keywords for China: Perceptions and portrayals in English-language novels." Literature & History 31, no. 2 (2022): 152–77. http://dx.doi.org/10.1177/03061973221139267.

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As China emerges as a potential global superpower, it is more important than ever to recognise and analyse the ways in which the country has been represented in literature and culture. English-language novels frequently include passing reference to China but these instances are usually too minor to contribute to the major themes of the novel and pass without comment in traditional forms of literary scholarship. When collected together, these references are indicative of the ways in which the cultural perception of China has fluctuated and changed over the decades. We examined 8,438 English-language novels across a period of over one hundred years in order to trace broad patterns and shifts in the literary representation of China over the course of the twentieth and early twenty-first centuries. To date, we have collected 12,186 passages that include the words china or chinese with full metadata (author, title, country of origin, year of publication) for the years 1900–2017. We have generated a coding scheme to identify keywords; these include tea, communism, emperor, crime, and foot-binding. Analysis of particular keywords with reference to the corresponding sets of quotations reveals fresh insight into the literary and cultural construction of China that has shaped public perception. The accompanying database is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
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18

Li, Haoran, Junnan Zhu, Jiajun Zhang, Chengqing Zong, and Xiaodong He. "Keywords-Guided Abstractive Sentence Summarization." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 8196–203. http://dx.doi.org/10.1609/aaai.v34i05.6333.

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We study the problem of generating a summary for a given sentence. Existing researches on abstractive sentence summarization ignore that keywords in the input sentence provide significant clues for valuable content, and humans tend to write summaries covering these keywords. In this paper, we propose an abstractive sentence summarization method by applying guidance signals of keywords to both the encoder and the decoder in the sequence-to-sequence model. A multi-task learning framework is adopted to jointly learn to extract keywords and generate a summary for the input sentence. We apply keywords-guided selective encoding strategies to filter source information by investigating the interactions between the input sentence and the keywords. We extend pointer-generator network by a dual-attention and a dual-copy mechanism, which can integrate the semantics of the input sentence and the keywords, and copy words from both the input sentence and the keywords. We demonstrate that multi-task learning and keywords-oriented guidance facilitate sentence summarization task, achieving better performance than the competitive models on the English Gigaword sentence summarization dataset.
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Lee, Yoonjin, and Hohyun Jung. "Keyword Analysis of Twitter Data on New Digital Technology through Topic Modeling and ERGM." Korean Data Analysis Society 25, no. 6 (2023): 2093–107. http://dx.doi.org/10.37727/jkdas.2023.25.6.2093.

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Artificial intelligence, big data, internet of things, autonomous driving, and blockchain are emerging digital technologies that are contributing significantly to society as essential drivers of the Fourth Industrial Revolution. We analyzed people's demands and identified the main fields that need to be nurtured by examining the Korean and English keywords related to digital technologies mentioned on Twitter. We selected keywords related to digital technologies and performed LDA topic modeling, dividing the data into three periods: the second half of 2020 and the first and second half of 2021. We also generated co-occurrence networks to understand the interconnection structure of the keywords. As the COVID-19 pandemic continued, we observed the emergence of topics related to metaverse services, which gained popularity in virtual environments. Artificial intelligence, cloud, and blockchain have high connections to various keywords in all three periods for Korean tweets. On the other hand, blockchain played a central role in English tweets. We applied ERGMs by utilizing press and research indices as node attributes in the Korean keyword co-occurrence networks. Throughout all the periods, the research index positively affects keyword connections. On the other hand, the press index has a negative effect on keyword connections, suggesting that the media might not accurately grasp public trends.
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Zhu, Ziling, and Dorothy Ahn. "Effects of instruction on semantic and pragmatic judgment tasks." Experiments in Linguistic Meaning 2 (January 27, 2023): 322. http://dx.doi.org/10.3765/elm.2.5380.

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Sentence judgment tasks are used often in linguistics studies. However, there is no consensus on how significant the effect of instruction is in such tasks: some argue that instruction is trivial, while others argue that they affect the way participants respond. In this study, we investigate different keywords used in sentence judgment tasks and determine which keyword best teases apart speakers' response to semantically and pragmatically licit and illicit sentences. We test this in English and Mandarin, exploring the possibility of cross-linguistic variation on how speakers respond to different keywords. Our results show that the common keywords used in semantic and pragmatic judgment tasks such as 'natural' do distinguish semantic and pragmatic violations for English speakers, but that the common Mandarin translations of these words fail to distinguish between the two types of violations. Our results highlight the need for language- and study-specific norming procedures in sentence judgment tasks.
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Isti'anah, Arina, and Hirmawan Wijanarka. "TEACHING ENGLISH DURING THE PANDEMIC: BIBLIOMETRIC ANALYSIS." LLT Journal: A Journal on Language and Language Teaching 26, no. 2 (2023): 650–64. http://dx.doi.org/10.24071/llt.v26i2.6409.

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The COVID-19 pandemic has led to massive publications indexed in various databases, which provide platforms for research communities, including teachers and researchers, to disseminate their experiences during the pandemic. This paper employed bibliometric analysis to investigate the keywords “teaching English in the pandemic” in the Scopus database to determine how the research is produced. This research used Vos Viewer to analyze the co-authorship and co-occurrences of the keywords from the bibliographic information downloaded from the Scopus database by limiting its search to 2020-2022 under the scope of social sciences and humanities. From the 444 documents eligible for the review, this paper indicates two main points: (1) the co-authorship of research publication has been equally distributed and produced through collaboration despite ample opportunities for joint research among organizations, and (2) the co-occurrences of the keywords show three major research trends during the COVID-19 pandemic: pedagogical best practices, pedagogical experience, and pedagogical strategies. This paper exemplifies how knowledge and publications are generated within a certain field, enabling the research community to foster collaboration and produce articles that incorporate pertinent keywords currently under discussion.
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Vathanalaoha, Kriangkrai. "Corpus Stylistics in Contemporary English Dramas: Keywords and Semantic Fields of Delusions." GEMA Online® Journal of Language Studies 22, no. 2 (2022): 43–62. http://dx.doi.org/10.17576/gema-2022-2202-03.

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23

Dilai, M. P. "KEYWORDS OF THE ENGLISH ONLINE NEWS DISCOURSE IN 2021: A CORPUS APPROACH." Тrаnscarpathian Philological Studies 1, no. 19 (2021): 124–33. http://dx.doi.org/10.32782/tps2663-4880/2021.19.1.23.

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24

Grabowski, Łukasz. "Keywords and lexical bundles within English pharmaceutical discourse: A corpus-driven description." English for Specific Purposes 38 (April 2015): 23–33. http://dx.doi.org/10.1016/j.esp.2014.10.004.

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25

Joolaee, Soodabeh, and Fatemeh Hajibabaee. "Patient rights in Iran: A review article." Nursing Ethics 19, no. 1 (2011): 45–57. http://dx.doi.org/10.1177/0969733011412100.

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A significant development for conducting research on patient rights has been made in Iran over the past decade. This study is conducted in order to review and analyze the previous studies that have been made, so far, concerning patient rights in Iran. This is a comprehensive review study conducted by searching the Iranian databases, Scientific Information Database, Iranian Research Institute for Information Science and Technology, Iran Medex and Google using the Persian equivalent of keywords for ‘awareness', ‘attitude’, and ‘patient rights'. For pertinent Iranian papers published in English, scientific databases PubMed, and Google Scholar were searched using the keyword ‘patient rights' and ‘Iran’. A total of 41 Persian and five English articles were found for these keywords, only 26 of which fulfilled the objective of our study. The increasing number of papers published indicates that from 1999 onwards, this subject has begun to draw the attention of Iranian researchers in a progressive fashion and Iranian papers in English have also been compiled and published in international sources.
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Lewison, Grant. "Definition of Cancer Research: Journals, Titles, Abstracts or Keywords?" DESIDOC Journal of Library & Information Technology 31, no. 5 (2011): 333–39. http://dx.doi.org/10.14429/djlit.31.5.1189.

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shree, Bhagya, and Jyoti Patil. "Redefining Web Revisitation Process using Content and Context Keywords." International Journal of Computer Trends and Technology 60, no. 1 (2018): 26–30. http://dx.doi.org/10.14445/22312803/ijctt-v60p103.

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28

Ghosh, Hiranmay, Sunil Kumar Kopparapu, Tanushyam Chattopadhyay, et al. "Multimodal Indexing of Multilingual News Video." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–18. http://dx.doi.org/10.1155/2010/486487.

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The problems associated with automatic analysis of news telecasts are more severe in a country like India, where there are many national and regional language channels, besides English. In this paper, we present a framework for multimodal analysis of multilingual news telecasts, which can be augmented with tools and techniques for specific news analytics tasks. Further, we focus on a set of techniques for automatic indexing of the news stories based on keywords spotted in speech as well as on the visuals of contemporary and domain interest. English keywords are derived from RSS feed and converted to Indian language equivalents for detection in speech and on ticker texts. Restricting the keyword list to a manageable number results in drastic improvement in indexing performance. We present illustrative examples and detailed experimental results to substantiate our claim.
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BOBER, Nataliia, Olha LIASHKO, Yan KAPRANOV, Olesya CHERKHAVA, and Larysa MELESHKEVYCH. "Interpretation of Keywords as Indicators of Intertextuality in English New Testament Texts (Antconc Corpus Manager Toolkit)." WISDOM 22, no. 2 (2022): 193–207. http://dx.doi.org/10.24234/wisdom.v22i2.736.

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The article deals with the interpretation of keywords as indicators of registering intertextual properties in English New Testament texts. The notion of “intertextuality” is represented in terms of three approaches: philosophical-poststructuralist, philological, and genre-textual is considered to be a complex interdisciplinary phenomenon and is characterised as a system-textual and prototypical category, with an emphasis on the typological properties of textuality. It has been proved that in order to register the intertextuality in English New Testament Texts, the notions of “keywords” and “life cycle” as indicators of actualization (active vocabulary) or deactualization (passive vocabulary) of tokens represented in a specific type and kind of discourse were introduced. AntConc corpus manager as an artificial intelligence programme, which is a free and multifunctional tool for statistical research of texts of different languages of various discourses (Dr Laurence Anthony), helped to establish the following most frequent keywords of intertextuality in English New Testament texts: God (1372), Jesus (989), Man (908), Lord (728), Christ (571), Will (555), Son (422), Father (370), Spirit (299), Heaven (256).
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Hardiyanti, Sri, Abidin Pammu, and Nasmilah Nasmilah. "Worldwide research productivity and tendency of online English learning a bibliometric analysis (2011-2021)." AMCA Journal of Community Development 2, no. 2 (2022): 48–54. http://dx.doi.org/10.51773/ajcd.v2i2.145.

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This study was aimed to illustrate the global research productivity and the tendency of online English learning in recent years (2011-2021). Researchers investigated 922 articles in Google Scholar, which was retrieved via Publish or Perish. A bibliometric methodology was adopted in this study. The data was analyzed to reveal prominent articles distribution from 2011 to 2021, most productive journals, popular keywords and most-cited articles. This study revealed that from the beginning of the Covid-19 pandemic (2020-2021), the research productivity in online English learning topics showed a significant increase. IEEexplore was the most productive publisher, followed by CNKI and Springer. The top 10 most-cited articles mainly were written by authors from a developed country. Furthermore, the analysis of the keyword was assisted by VOSviewer software. The result presented the most frequent keyword, including "covid" with (155) occurrences, "online learning" (191) occurrences, "pandemic" (124) occurrences, "technology" (89) occurrences, keyword "platform" with (67) occurrences. The most tendency topics in different years were students' perception, students’ motivation, teachnology and the online learning environment. Further areas of inquiry to advance research in online English Learning were suggested, including teaching strategies on online English learning, online English vocabularies, and reflection of online English teaching.
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Chu, GaYoung, and Yeon-Jin Kwon. "Analysis of International Research Trends on Literacy in Second Language Education: Focusing on Foreign Studies on ESL and EFL." Korean Association For Learner-Centered Curriculum And Instruction 23, no. 24 (2023): 553–70. http://dx.doi.org/10.22251/jlcci.2023.23.24.553.

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Objectives This study conducted keyword network analysis to understand recent research trends in the field of second language education. Through this, the study aimed to comprehend the changes in research topics and directions and suggest future orientations in the field. Methods For this research, a keyword network analysis was conducted based on keywords extracted from various academic journals and papers. During the period from May to July 2023, topics and abstracts of papers were gathered from various academic databases, and keywords were organized accordingly. These organized keywords underwent a process of frequency extraction, cleansing, network matrix creation, centrality analysis, and visualization. Through this method, the study evaluated the relationship between major research topics, assessing centrality, clustering, and connectivity. Results The analysis revealed distinct keyword and research topic differences between the fields of ESL (English as a Second Language) and ELF (English as a Lingua Franca). In the ESL field, topics such as ‘language acquisition,’ ‘textbook evaluation,’ and ‘teacher training’ were prominently addressed. However, in the ELF field, research emphasized ‘recognition of diversity,’ ‘educational strategies,’ and ‘cultural flexibility.’ Additionally, studies on literacy elements emphasized the importance of modern second language education, with active discussions on the methods and effects of integrating technology into teaching. Conclusions Through keyword network analysis, research trends and key subjects in the field of second language education were identified. These findings provide significant insights for future research directions and offer valuable perspectives for educators and researchers.
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Gwang-Yoon Goh. "Using Function Keywords to Characterize the Language of Three Northeast Asian English Newspapers." English Language and Linguistics 22, no. 3 (2016): 1–30. http://dx.doi.org/10.17960/ell.2016.22.3.001.

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Cortazzi, Martin, and Wei Wei Shen. "Cross-linguistic Awareness of Cultural Keywords: A Study of Chinese and English Speakers." Language Awareness 10, no. 2-3 (2001): 125–42. http://dx.doi.org/10.1080/09658410108667030.

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34

Chen, Hong Ye, and Phil Vines. "Multi Queries Methods of the Chinese-English Bilingual Plagiarism Detection." Applied Mechanics and Materials 462-463 (November 2013): 1158–62. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.1158.

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Cross-language plagiarism detection identifies and extracts plagiarized text in a multilingual environment. In recent years, there has been a significant amount of work done involving English and European text. However, somewhat less attention has been paid to Asia languages. We compared a number of different strategies for Chinese-English bilingual plagiarism detection. We present methods for candidate document retrieval and compare four methods: (i) document keywords based, (ii) intrinsic plagiarism based, (iii) headers based, and (iv) machine translation queries. The results of our evaluation indicated that keywords based queries, the simplest and most efficient approach, gives acceptable results for newspaper articles. We also compared different percentage of keywords based query, and the results indicated that putting 50% keywords into queries can obtain the satisfied candidate documents set.
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35

Kang, Namkil. "English as a Second language in 350 YouTube Videos: A Big Data Analysis." Advances in Social Sciences Research Journal 10, no. 8 (2023): 41–52. http://dx.doi.org/10.14738/assrj.108.15231.

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The ultimate goal of this paper is to provide an in-depth analysis of 350 YouTube videos broadcasted about English as a second language. A point to note is that one noun obtains the highest frequency (1,439 tokens) in 350 YouTube videos. A further point to note is that topic 9 was the most occurred one, followed by topic 7, topic 10, and topic 16, in descending order. A major point of this paper is that the keyword English is the most important and pivotal in the word cloud of 350 YouTube videos, followed by the keyword language, and the keyword person, in that order. When it comes to the use of core keywords, the keyword English was the most frequently used in 350 YouTube videos, followed by the keyword language, the keyword video, the keyword paper, and the keyword com, in that order. This paper also argues that the keyword English obtains the highest centrality and frequency and the keyword language follows. When it comes to the keyword SSLC, its centrality is high (the third highest), but its frequency is relatively low. The so-called frequency and centrality both refer to the degree of the importance of words, but they are different in that the former refers to the use of words, whereas the latter refers to the importance, prominence, prestige, influence, and reputation of words.
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Solihin, Riadatus, and Hidayatul Hamdiah. "Unsustainable English Learning." Attractive : Innovative Education Journal 3, no. 1 (2021): 24. http://dx.doi.org/10.51278/aj.v3i1.197.

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This study aimed at knowing some factors contributing to students’ learning English unsustainable. Designed as a case study, this study examined 40 students as the participants that were selected through certified random sampling. Observation, questionnaires, and interview were the instruments used to collect the data. The collected data were analyzed by instructive model technique which consists of three components they are reduction of the data, presentation of the data and data verification. The result of the data analysis showed that the majority of the students did not learn English continually. There were three main factors that contributed to the students’ unsustainable English learning: those are lack of English basic knowledge, unsupported of environmental, and inappropriate English teaching material. Keywords: Unsustainable English Learning, English Learning, Factor Unsustainable English Learning
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Kozyr, N. S. "The keywords for regional economies: Scientometric analysis." Scientific and Technical Libraries, no. 6 (June 23, 2022): 100–121. http://dx.doi.org/10.33186/1027-3689-2022-6-100-121.

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The Russian economic science is challenged by the issues of representation of national studies in foreign science journals and level of publications in Scopus Q1 periodicals. The author compares the eLibrary.ru keywords related to regional economies to corresponding Elsevier’s JournalFinder data. She attempts to identify unified keywords to be used by Russian researchers in their articles in regional economies. Based on ScienceDirect database search service, the subject pertinancy of the term “region” is specified; the author concludes that it differs from that accepted in the Russian economic science. This conclusion is to explain the existence of publication barriers the Russian authors encounter in the high-rate foreign journals. Several limitations for using keywords in scientometric analysis are also revealed. The problem of term unification is particularly acute in the humanities as the English-language words are often used in their Russified version. The value of the study lies in the suggested methodology of analyzing publications in eLibrary.ru Russian Science Citation Index and Elsevier’s JournalFinder by keywords. Regional terms and word combinations are interesting and valuable for Russian scientists with the wide scope of variations, which would be the subject of further studies in classification and systematization. The scientometric analysis is in its initial phase and is to develop and improve its study instruments.
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Sadirbekova, Zh A., and U. U. Beknazarova. "CONTRASTIVEANALYSISOFENGLISHANDKAZAKHPHRASEOL OGYCLOSETOMEANING." Bulletin of Korkyt Ata Kyzylorda University 57, no. 2 (2021): 191–96. http://dx.doi.org/10.52081/bkaku.2021.v57.i2.054.

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Currently, it is interesting and relevant for linguists to understand the unknown aspects of the problems related to the Kazakh and English languages, their common patterns and features. One of the main language units that needed to be contributed to study is phraseology. In this paper, the similarities and differences of similar phraseologies are contrasted in different as aglutative Kazakh and analytical English languages. Kazakh and English does not belong to related group of family. It is considered depending on the types of phraseology in Kazakh and English6 the external identity of phraseological phrases, the semantic nature and their semantic integrity, and the meaning of phrases. Examples of phraseology are taken from the works of Kazakh and English poets and phrasal dictionaries. In addition, types and groups of phraseology, similarities and features of analogy types in both languages are described. Keywords: phraseological units,culture, verbal phraseology, contrastive analysis
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Yulfi, Yulfi, Sastika Seli, and Reni Ariska. "An Analysis of English Lexical Collocation Found in English Newspaper." Linguistic, English Education and Art (LEEA) Journal 2, no. 2 (2019): 100–115. http://dx.doi.org/10.31539/leea.v2i2.349.

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This study was conducted to find out the answer of question about what the English lexical collocation found in English Newspaper, The Jakarta Post. This study was designed as a descriptive qualitative research and data of the study was described in form of qualitative description. The data was taken from the headlines of the Jakarta post newspaper which published on April 4th - 9th 2016. The sources of the data in this study were sentences and utterances that contain collocation. Human instrument was the only instrument used in collecting and analyzing the data gathered. The result of this study showed that (1) there were fourty four English lexical collocations found in the Jakarta post newspaper and (2) the meanings of English lexical collocation were fourty three had denotative meaning and one had connotative meaning. Keywords: english lexical collocation, words meaning, the Jakarta post
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40

Skorczynska Sznajder, Hanna Teresa. "A COMPARATIVE STUDY OF KEYWORDS IN ENGLISH-LANGUAGE CORPORATE PRESS RELEASES FROM EUROPEAN COMPANIES: INSIGHTS INTO DISCURSIVE PRACTICES." Discourse and Interaction 9, no. 1 (2016): 49. http://dx.doi.org/10.5817/di2016-1-49.

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This study provides insights into discursive practices through a comparative study of keywords in English-language press releases from British, Spanish and Polish energy companies. Even though corporate press releases have been extensively researched, there is a lack of cross-cultural and corpus-based studies in this fi eld. In the present research three corpora of approximately 120,000 words each, containing English-language press releases from British, Spanish and Polish energy companies, were used. The keywords were identifi ed with the Wmatrix tool (Rayson 2009) and the reference corpus consisted of business periodical articles. The analysis of corpus keywords usually provides insights that would be diffi cult to gain by means of manual analyses of texts or qualitative approaches. The results obtained in this study show notable diff erences between the corpora with regard to the keywords identifi ed. The use of more general meaning keywords by British companies or more technical keywords by Polish companies suggest that lexical choices might be indicative of diff erent discursive practices used to reach stakeholders and the general public.
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Berg, Kristian, Franziska Buchmann, Katharina Dybiec, and Nanna Fuhrhop. "Morphological spellings in English." Written Language and Literacy 17, no. 2 (2014): 282–307. http://dx.doi.org/10.1075/wll.17.2.05ber.

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Morphologically motivated spellings in English are usually thought to be restricted to cases like 〈electric – electrician – electricity〉, where the stem final letter 〈c〉 is kept constant in spelling although the corresponding phoneme varies in spoken language. However, there are many more – and fundamentally different – spellings that refer to morphological information. We will show this by systematically going through the three major parts of morphology: inflection, derivation, and compounding. In each area, we will identify spellings that can best be explained with reference to morphology. As a result, we will present an overview of formal and functional means of morphological spellings which goes far beyond the ubiquitous example cited above. Keywords: English; spelling; writing system; morphology; stem constancy
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42

Salama, Ramiz, Krell Chiparausha, and Faysal Bsatar. "E-learning system of teaching english language." Global Journal of Information Technology: Emerging Technologies 12, no. 1 (2022): 34–42. http://dx.doi.org/10.18844/gjit.v12i1.7108.

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The use of E-learning platforms for education in recent times has been on the rise. The purpose of this work is to provide an overview of the web application. This paper provides an overview of a web-based application as a result of the project titled “22nd Century English”. This is a web platform that arranges schedules and scheduled video conferences between students and lecturers. A lot of teachers especially English Teachers have extra time with which they can teach but without commitment, because of their commitment to their Teaching Institution. With the opportunity to handle freelance lessons through the developed application, teachers have the ability to earn extra income while helping other students outside their schools. This platform also helps students to learn English remotely without wasting time with traveling or intense commitment. Keywords: E-learning; English teaching; learn press; LMS. Keywords: LMS, learn press, e-learning, English teaching, efficiency of English learning;
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43

Cserni, Robert T., and Lee W. Essig. "Twenty Years of Men and Masculinities by the Numbers: An Analysis of Publications and Article Keywords." Men and Masculinities 22, no. 1 (2019): 5–15. http://dx.doi.org/10.1177/1097184x18805349.

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In this article we begin to map the field of Men and Masculinities Studies by examining 20 years of publications in the journal of Men and Masculinities. We conduct a content analysis of 458 articles and 2115 keywords from 1998 to 2017. Our findings indicate similar numbers of women and men published sole-authored articles. The most prevalent themes among published articles were related to theory, sexualities, and family. Furthermore, non-English speaking regions in the world are under-represented compared to English speaking regions. We hope that our discussion of these, and other findings, will help (re)shape the field and the journal of Men and Masculinities into a more diverse and inclusive academic space.
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44

Ross, Lauren, Salomé Geertsema, Mia le Roux, and Marien Alet Graham. "The Use of Nonword Keywords in the Speech Assessment of English Second Language Learners." Communication Disorders Quarterly 42, no. 1 (2019): 12–22. http://dx.doi.org/10.1177/1525740119857985.

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Use of nonwords is a potentially more appropriate method of assessment for English second language (EL2) learners. A mixed comparative design was used to compare the effects when using nonwords instead of picture-based stimuli to assess articulation of EL2 learners. Subaims were to compare results between two tests and age groups. In all, 16 Setswana L1 children assigned to two age cohorts were assessed using the Goldman-Fristoe Test of Articulation–second edition (GFTA-2), and nonword list was created via a registered Speech Motor Learning website. Results of the two assessments differed significantly, indicating that lack of semantic information may yield different outcomes for articulation assessments of EL2 learners. Speech sound differences on the GFTA-2 were sounds not found in L1. This agrees with previous research indicating incorrect diagnosis due to speech and language differences. There was no significant difference between the two age cohorts. This research forms the basis for investigations into nonwords as a more accurate method for assessment of EL2 learners.
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Arellano, Rodrigo, and Kevin Gerigk. "Insights from corpus linguistics: Using keywords-in-context to teach and assess English learning." English Australia Journal 39, no. 2 (2023): 66–73. http://dx.doi.org/10.61504/phfv1647.

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46

Arellano, Rodrigo, and Kevin Gerigk. "Insights from corpus linguistics: Using keywords-in-context to teach and assess English learning." English Australia Journal 39, no. 2 (2023): 66–73. http://dx.doi.org/10.61504/grtx4858.

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47

Trinant, Kantapat, and Butsakorn Yodkamlue. "Lexical Collocations in a Sample Corpus of Nursing Research Articles (SCNRA)." Suranaree Journal of Social Science 13, no. 1 (2019): 45–72. http://dx.doi.org/10.55766/obxc3400.

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This corpus-based study was conducted in an attempt to facilitate the teaching and learning of English as a Foreign Language (EFL) and English as a Second Language (ESL) as well as English for Specific Purposes (ESP) by exploring lexical collocations in a Sample Corpus of Nursing Research Articles (SCNRA). The SCNRA, with a corpus size of over 1.25 million running words, was compiled from 300 research articles from 10 nursing journals. Under the set criteria, 717 keywords were obtained using the AntConc version 3.4.4. The majority of the keywords were nouns (63.51%), followed by adjectives (21.54%), verbs (13.44%), and adverbs (1.51%) respectively. The keywords then were used as “nodes” to find their “collocates” which generated 2,148 pairs of lexical collocations with 14 combination types, where six combination types were in accordance with the set framework adapted from Benson et al.’s (2010). The majority of them were Noun + Noun (41.39%), Adjective + Noun (28.4%), and Noun + Verb (11.17%) respectively. The lists of the keywords and the collocations produced are provided.
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48

Abhale, Poonam Bhanudas. "Handwritten English Alphabet Recognition." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (2021): 2134–39. http://dx.doi.org/10.22214/ijraset.2021.39703.

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Abstract: Character recognition is a process by which a computer recognizes letters, figures, or symbols and turns them into a digital form that a computer can use. In moment’s terrain character recognition has gained a lot of attention in the field of pattern recognition. Handwritten character recognition is useful in cheque processing in banks, form recycling systems, and numerous further. Character recognition is one of the well- liked and grueling areas of exploration. In the unborn character recognition produce a paperless terrain. In this paper, we describe the detailed study of the being system for handwritten character recognition. We give a literature review on colorful ways used in offline English character recognition. Keywords: Character; Character recognition; Preprocessing; Segmentation; Point birth; Bracket; neural network; Convolution neural network.
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49

Wu, Xiuying, and Liuhui Yang. "Extraction of English Keyword Information Based on CAD Mesh Model." Computational Intelligence and Neuroscience 2022 (August 20, 2022): 1–8. http://dx.doi.org/10.1155/2022/2391898.

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Traditional methods only consider topic information in English vocabulary information extraction, lose the statistical feature information of the keywords themselves, and easily ignore the semantic information of the words. In order to improve the extraction efficiency of English keyword information, based on the CAD mesh model, this paper adds constraint factors such as vertex neighborhood flatness, vertex degree, side length, and flatness on both sides of the side on the basis of the original QEM quadratic error simplification algorithm, and it incorporates a smoothing effect into the edge folding cost function. Moreover, based on the proposed normal vector-based QEM mesh simplification algorithm, the point selection after the edge folding operation is fixed as the vertices of the original edge, and it is applied to the mesh parameterization. In addition, the algorithm solves the local parameterization problem of partially deleted vertices after the simplification operation of each layer is completed. After the model is constructed, the performance of the model is verified through experiments. The research shows that the English keyword information extraction model constructed in this paper is effective.
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Bourgeois, Jeanesse, Greg Clark, Scott Delaney, Jeremy Grushka, and Jennifer A. Knopp-Sihota. "English." Canadian Journal of Emergency Nursing 47, no. 1 (2024): 30–37. http://dx.doi.org/10.29173/cjen195.

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Background: For patients sustaining major trauma, decreasing time to definitive care remains a primary goal. Specialized trauma team involvement is essential for coordinating the emergency department care of complex major trauma patients. The aim of this study was to evaluate if the timing of trauma team involvement impacts length of stay and time to definitive care in the emergency department. Methods: This is a single-centre retrospective medical record review, including patients meeting Quebec pre-hospital triage criteria for major trauma from May 15, 2018 to December 31, 2020. We assessed time from patient arrival until departure from the resuscitation room, time to CT scan, time to disposition, and overall length of emergency department stay. Patients were grouped according to the timing of trauma team activation (TTA) as (1) pre-hospital notification, (2) on arrival in the emergency department, (3) receiving a trauma consult only, or (4) no trauma team involvement. Mean times and standard deviations were calculated, and group differences were assessed using the Kruskal-Wallis test and the independent sample Mann-Whitney U test. Results: We identified 371 patients meeting our inclusion criteria; there were no differences between groups in mean time spent in the resuscitation room based on the timing of trauma team involvement (45-51 minutes, p=0.422). A trauma team activation with pre-hospital notification was associated with a statistically significant shorter time to CT scan (62-81 minutes, p=0.010), time to disposition (6:37-13:41, p<0.001), and total emergency department length of stay (9:22-23:16 hours: minutes, p<0.001). Conclusion: Appropriate trauma team activation improves performance indicators used to evaluate the quality of care in the emergency department. This research suggests that pre-hospital trauma team activation should be considered the standard of care for all patients meeting pre-hospital field triage criteria for major trauma. Keywords: trauma, triage, pre-hospital, trauma team activation, trauma quality indicators
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