Common Words Research Articles

Trust and Worth on the Co-Created Journey of Teaching-Learning.

Trust and worth are common words often heard in the media with calls to trust the news, trust elected officials, or trust the science. Yet how can one trust science or news or others when contrary evidence arises? In the teaching-learning of nursing, emerging truths and new knowings challenge what was once considered conventional wisdom, presenting a challenge and an opportunity for nurse faculty. A discussion of trust and worth is presented with insights offered for the teaching-learning of nursing. While the insights are not exhaustive, the intent is to challenge nurse faculty to set aside time and space to delve with colleagues into creation of a culture of trust and worth in the teaching-learning milieu. This seems most appropriate for such a time as this, where a simple thing as listening to the evening news suggests that human dignity, trust, and worth seem little valued.

Data-Driven Analysis of Privacy Policies Using LexRank and KL Summarizer for Environmental Sustainability

Natural language processing (NLP) is a field in machine learning that analyses and manipulate huge amounts of data and generates human language. There are a variety of applications of NLP such as sentiment analysis, text summarization, spam filtering, language translation, etc. Since privacy documents are important and legal, they play a vital part in any agreement. These documents are very long, but the important points still have to be read thoroughly. Customers might not have the necessary time or the knowledge to understand all the complexities of a privacy policy document. In this context, this paper proposes an optimal model to summarize the privacy policy in the best possible way. The methodology of text summarization is the process where the summaries from the original huge text are extracted without losing any vital information. Using the proposed idea of a common word reduction process combined with natural language processing algorithms, this paper extracts the sentences in the privacy policy document that hold high weightage and displays them to the customer, and it can save the customer’s time from reading through the entire policy while also providing the customers with only the important lines that they need to know before signing the document. The proposed method uses two different extractive text summarization algorithms, namely LexRank and Kullback Leibler (KL) Summarizer, to summarize the obtained text. According to the results, the summarized sentences obtained via the common word reduction process and text summarization algorithms were more significant than the raw privacy policy text. The introduction of this novel methodology helps to find certain important common words used in a particular sector to a greater depth, thus allowing more in-depth study of a privacy policy. Using the common word reduction process, the sentences were reduced by 14.63%, and by applying extractive NLP algorithms, significant sentences were obtained. The results after applying NLP algorithms showed a 191.52% increase in the repetition of common words in each sentence using the KL summarizer algorithm, while the LexRank algorithm showed a 361.01% increase in the repetition of common words. This implies that common words play a large role in determining a sector’s privacy policies, making our proposed method a real-world solution for environmental sustainability.

The Lexicographer’s Dream Audience: Dictionary Use among English Majors at a Slovenian University

Abstract Interviews with undergraduate students from the University of Ljubljana, who are majoring in English and can be considered language specialists, investigated habits of dictionary use, look-up abilities, and perceptions of the utility and quality of definitions and illustrative examples. This contrasts with a parallel study (Farina et al. 2019) with undergraduates majoring in business and economics. Like the parallel study, this study was based on fourteen questions and nine contexts containing a clearly-marked common word used in an infrequent sense; participants had to locate the sense in a dictionary that, at the time of the studies, was the online Merriam–Webster Learner’s Dictionary, rebranded today as The Britannica Dictionary. Participants were asked to think aloud as they looked up words. Among other results, the study revealed that its participants, while they were linguistically-educated and experienced, did not fully grasp the complexity of presenting dictionary information online.

AN OVERVIEW OF PREGNANCY EDUCATION: A BIBLIOMETRIC ANALYSIS BASED ON WEB OF SCIENCE CORE COLLECTION

This study aims to evaluate the studies on “pregnant education” searched in the WoSCC database in terms of quantity and quality with bibliometric analysis. In this context, 483 studies conducted between 1980-2022 were reached in the filtering made without year, language and citation index constraints. It was determined that the studies in the related field were between 1980-2022 and the most prolific author was Hyun Kyoung Kim. In addition, it was found that the most publications in this field were in the field of "Gynecology and Obstetrics" and the institution with the most publications was "Iran University of Medical Sciences". In the common word analysis, it was seen that the words "prenatal education, pregnancy, breastfeeding, prenatal care" were used most frequently, while in the co-citation analysis, it was determined that the most cited author was Anita J. Gagnon. In the co-citation analysis, no link was found between the three most cited publications. In the co-authorship analysis, it was seen that the authors who published together were gathered around a single group. As a result; it was concluded that pregnancy education should be more comprehensive and permanent in line with the demands of individuals to raise awareness about pregnancy, child care and development.

Trends in Cause-Related Marketing (CRM): Scientometrics Analysis Through Prism of Biblioshiny

Purpose: Although interest in cause-related marketing has grown steadily since 1998, the field as a whole remains disorganized. Accordingly, this research aims to undertake a thorough literature evaluation on CrM. This research aims to create a comprehensive picture of cause-related marketing from 1988 through March 2022 by combining data from Scopus and Web of Science (WOS). Design/Methodology/Approach: Articles were analysed using bibliometric criteria in this study. Bibliographic analysis facilitates research into and evaluation of multiple perspectives, as well as the assessment of the field’s growth. Biblioshiny, a bibliometrics tool developed at the R-studio, was used to assess the quality of research papers on the topic of CrM that were gathered from the databases Scopus and Web of Science. The most prominent authors, articles, journals, organisations, and nations in the field of cause-related marketing were determined after reviewing 646 papers published between 1988 and 2022. The most common words used in the titles, meta-descriptions, and abstracts were also counted. Findings: The state of CrM research and research patterns over the previous 30 years were thoroughly investigated using visualisation techniques such as content analysis, word cloud, citation analysis, etc. This study has uncovered some new ground for investigation into cause-related marketing. Research Limitations/Implications: Many more publications could not be included for generalisation reasons because the study included data from two databases. Additionally, our research shows that there aren’t many journals that have written about cause-related marketing. Practical Implications: This article may be helpful to both researchers and practitioners who are looking for research advice. Based on trend subjects, co-occurrences, and historical networks, this research also suggests potential new study topics for the future. Originality/Value: This is the first study to use the bibliometrics package in R to create a visual representation of the body of work produced on the topic of CrM in the thirty years since the notion was originally articulated.

How do counselling trainees describe group process and does this change over time?

AbstractPersonal development groups or “group processes” are used in most counselling and psychotherapy trainings, but little is understood about how trainees change in their experience and descriptions of them over time. This study collected qualitative surveys (N = 70) from two groups of master's students (N = 35), at the mid‐ and end point of their first year of counselling training, to find out whether their descriptions of group process changed. We used content analysis to study the most common words and phrases used by trainee counsellors to describe group process and to monitor how positive, neutral and negative their descriptions were over time. We found a significant difference in the vocabulary and the ratio of positive to negative descriptions of group process at the midpoint of term, depending on the group the trainees were assigned to, with a levelling out of vocabulary words and positive and negative descriptions over time, converging towards a 70%–80% positive point at the end of term. Our results indicate that process groups need time to develop trainees above a positive threshold, by balancing group bonding against an ability to challenge and learn from difference, because individuals and groups start at different points in relation to their readiness and capacity for personal development. Further research should explore facilitation and trainee variables, as well as the impact of process groups on students' well‐being, because, while most of our students positively described the process, an important minority of students described negative experiences that were unresolved at the end of the study.

From COVID-19 vaccine candidates to compulsory vaccination: The attitudes of Italian citizens in the key 7-month of vaccination campaign

IntroductionThe aim of the study is to understand the evolution of COVID-19 vaccine acceptance over the key 7-month vaccine campaign in Italy, a period in which the country moved from candidate vaccines to products administered to the public. The research focus points to evaluate COVID-19 vaccine attitudes in adults and their children, propension towards compulsory vaccination, past and present adherence to anti-flu and anti-pneumococcal vaccines, and the reasons for trust/mistrust of vaccines. MethodsItalian residents aged 16->65 years were invited to complete an online survey from September 2020 to April 2021. The survey contained 13 questions: 3 on demographic data; 8 on vaccine attitudes; and 2 open-ended questions about the reasons of vaccine confidence/refusal. A preliminary word frequency analysis has been conducted, as well as a statistical bivariate analysis. ResultsOf 21.537 participants, the confidence of those in favor of the COVID-19 vaccine increases of 50 % and the number of people who wanted more information decreases by two-third. Willingness to vaccinate their children against COVID-19 also increased from 51 % to 66.5 %. Only one-third of the strong vaccine-hesitant participants, i.e. 10 %, remained hostile. Compulsory vaccination showed a large and increasing favor by participants up to 78 %, in a way similar to their propensity for children’s mandatory vaccination (70.6 %). Respondents’ past and present adherence to anti-flu and anti-pneumococcal vaccines does not predict their intentions to vaccinate against COVID-19. Finally, a semantic analysis of the reasons of acceptance/refusal of COVID-19 vaccination suggests a complex decision-making process revealed by the participants’ use of common words in pro-and-cons arguments. ConclusionThe heterogeneity in the COVID-19 vaccine hesitancy, determinants and opinions detected at different ages, genders and pandemic phases suggests that health authorities should avoid one-size-fits-all vaccination campaigns. The results emphasize the long-term importance of reinforcing vaccine information, communication and education needs.

The Effect of Tiktok on the Use of Standard Language in Grade 4 Elementary School Children

A study in grade 4 shows that using slang from the Tiktok application affects how children use familiar words. Identifying the influence of Tiktok on the use of standard terms in 4th-grade elementary school children is the aim of the researchers to conduct research. This research method collects data qualitatively to provide specific information about a particular problem. Qualitative and observational methods were used to collect this data, interviews and written tests. The subjects of this study were 26 grade 4 students of UPT SD Negeri 32 Gresik. This research on grade 4 students shows that half of the students use slang and mixed language. Also, common words are only used by half of the other students. With these results, teachers and parents can determine how much Tiktok impacts children's language styles

Medical Discourse Translation during COVID-19: A Case Study of Translating Medical Discourse into Arabic

This article aims to tackle the problems of translating medical terms from English to Arabic, particularly terms related to the COVID-19 pandemic. It first examines medical terminology in English, considering how such terms are coined or created, and later sheds light on the importance of neologism in medical discourse. Although English maintains itself as the lingua franca of science and medicine, many researchers have examined the importance of translating medical terminology into Arabic and creating new equivalents instead of borrowing foreign words directly into Arabic. Thus, this article aims to first shed light on newly used words that have emerged during the COVID-19 pandemic, and then analyse their most commonly used translations. The data consists of four common words that have been extensively used during the pandemic. The study concluded that the majority of these terminologies are translated using a descriptive method, or Arabicization. The article further highlights the importance of creating a consistent medical terminology base in Arabic. Keywords: COVID-19, Neologism, Arabicization, Borrowing, Medical Translation.

Research Trends in the Field of Emergency Remote Teaching: A Bibliometric Analysis of Open Access Literature

Throughout the period of pandemic, many studies have been conducted on emergency remote teaching (ERT) in different fields and from different perspectives, which reveal that there has been a lack of a comprehensive map showing the rapid and continuous responses of these studies to the process. The purpose of this research is to analyze open access research on ERT using bibliometric method, and to reveal current trends in this field. VOSviewer software was used for data analysis; the data collection process was shaped using the PRISMA framework. 238 studies were included in the analysis. The distribution of the open access studies analyzed in the field of emergency remote teaching by year, type of publication, subject, country, and sources was examined; citation analysis (by journal and publication), authorship patterns and collaboration, common word analyses are included. It was found out that these open access publications mainly consisted of journal articles and were dated 2020 and 2021; most of the publications were in the field of educational sciences. Based on common word analysis, the most important topics that are addressed in studies on the ERT process are the process of pandemic, distance education and higher education, while the challenges experienced regarding teachers and pedagogic issues during the process, teacher education, student-related characteristics (such as self-regulated learning-motivation-academic success) and participation are found to be frequently studied topics. The concepts of instructional design, collaborative learning, social presence, and assessment are also among the topics covered. It is anticipated that the implications for policy and practice based on the examination of research trends will have a significant effect on the structuring of future online learning environments, as well as the ERT designed for emergencies.

Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device

Recent advances in speech recognition have achieved remarkable performance comparable with human transcribers’ abilities. But this significant performance is not the same for all the spoken languages. The Arabic language is one of them. Arabic speech recognition is bounded to the lack of suitable datasets. Artificial intelligence algorithms have shown promising capabilities for Arabic speech recognition. Arabic is the official language of 22 countries, and it has been estimated that 400 million people speak the Arabic language worldwide. Speech disabilities have been one of the expanding problems in the last decades, even in kids. Some devices can be used to generate speech for those people. One of these devices is the Servox Digital Electro-Larynx (EL). In this research, we developed an autoencoder with a combination of long short-term memory (LSTM) and gated recurrent units (GRU) models to recognize recorded signals from Servox Digital EL Electro-Larynx. The proposed framework consisted of three steps: denoising, feature extraction, and Arabic speech recognition. The experimental results show 95.31% accuracy for Arabic speech recognition with the proposed model. In this research, we evaluated different combinations of LSTM and GRU for constructing the best autoencoder. A rigorous evaluation process indicates better performance with the use of GRU in both encoder and decoder structures. The proposed model achieved a 4.69% word error rate (WER). Experimental results confirm that the proposed model can be used for developing a real-time app to recognize common Arabic spoken words.

Investigating gender variations of using attitude choices in letters of recommendations

PurposeThe main objective of the present study is to explore whether there are variations in the employment of evaluative language resources by male and female writers. More specifically, the study focuses on variations, if any, that can be attributed to difference in gender.Design/methodology/approachThe study compared and contrasted forty recommendation letters written by male academics to the same number of letters written by female recommenders. The study uses both quantitative and qualitative approaches.FindingsThe investigation of three attitudinal resources in letters of recommendations showed that the most employed resource was the judgment sub-system. The appreciation domain was in the second position, and the least frequent was the affect. The results also revealed no statistically significant variations in attitude sub-systems: Affect and appreciation as the writers in both groups (males and females) employed almost the same options in each. In respect with judgment, however, the analysis explored significant differences between the two sets as male academics used more judgment resources than females.Originality/valueThe main contributions of this study may be as follows: first, it is one of very few studies drawing on the attitude-category of appraisal system, as an analytical tool to examine gender differences in recommendation letters very particularly on the ones written by non-native speakers of English. Second, the gender factor is central in the genre of the recommendation letters and hence researchers should be cognizant of its role as certain variations might be impacted by it. Third, the lists of tokens can be offered as heuristics for academics to have most common words or phrases to use in their letters. Finally, the findings can hopefully bear some important pedagogical implications, very specifically for novice and non-native academic writers of recommendations letters.

Interpretation of Misarticulated Words by Children With and Without Speech Sound Disorders.

Children with speech sound disorders (SSDs) often struggle with forming early representations for phonemes and words, which could impact their speech production as well as their lexical access. This difficulty may limit their ability to accurately identify nonexemplar productions of words, such as developmental misarticulations produced by peers. The purpose of this study was to examine word interpretation of misarticulated words by children with SSD. Seventeen monolingual English-speaking preschoolers were assessed for language, phonological processing, and articulation skills. Participants heard three types of words: accurate productions (e.g., "leaf"), common misarticulated productions (e.g., "weaf"), uncommon misarticulated productions (e.g., "yeaf"), and unrelated nonwords (e.g., "gim"). Children were presented with these words aurally and asked to select the picture that matched what they heard-either a real object or a blank square. The proportion of real object picture selections was calculated for each word type and compared within subjects. The findings indicate that children with SSD reliably associated common misarticulated words with pictured objects more frequently than they did in the uncommon misarticulation condition. These results were compared between subjects to typically developing (TD) peers' responses using a one-way analysis of variance. The results indicate that children with SSD identified common substitutions as real object pictures more often than TD peers. The results of this study suggest that children with SSD are sensitive to the commonness of misarticulations; however, they accept common substitutions as real object pictures significantly more often than TD peers.

Tamil Speech Synthesizer App for Android: Text Processing Module Enhancement

Objectives: Designing dynamic computer systems that are effective, efficient, simple, and satisfying to use is becoming extremely important in this age of information and communication technology. Text to Speech or Speech Synthesis is one of the many methods being investigated by researchers to improve Human-Computer Interaction. The goal here is to improve the text processing component of the Tamil voice synthesizer by including a text normalizer and loan word identification that is efficient and reliable. Methods: Text normalization is conducted on unconstrained Tamil text to turn non-standard terms into common words to reduce confusing utterances during intermediate word processing. Loan/Native words in Tamil literature are detected to enhance the Tamil voice synthesizer system’s pronunciation model. Findings: During normalization, non-standard Tamil words are replaced with standard ones to reduce ambiguous utterances during interim processing. A pronunciation model is built to improve the Tamil speech synthesizer system by identifying loan words in Tamil text. A syllable classifier is presented in this study, based on a decision list approach, which can handle various types of non-stationary sounds. Novelty: We also disclose a ’loan/native word classifier’ based on multiple linear regressions that perform well even with small words of three syllables. Such sophisticated text processors are required in today’s dominating Digital, Information-Communication Technology, and Human-Computer Interaction age. Keywords: Mobile Communication Technology; HumanComputer Interaction; Speech Synthesis Affirms; Syllable Classifier; Prerecorded database

PREFIXES OF GERMANIC ORIGIN

<p><span>The purpose of this research is to investigate the use and meaning of German prefixes, as well as their impact on word formation in English. German prefixes are grammatical features that are added to the beginning of a word to change its meaning or function. The prefixes will be examined in terms of their etymology, frequency of use, and common word formation patterns. They can also indicate a verb's location, tense, aspect, or modality. Prefixes are essential to the German language, and mastering them requires a solid understanding of them. The research will also look into how these prefixes affect the overall structure and meaning of German words. The research will be conducted using a combination of primary and secondary sources, such as German language dictionaries and texts, and linguistic studies on prefixation in German. The study's findings will shed light on the rich and complex nature of German word formation and its underlying grammar rules. The study also delves into the etymology of the prefixes and how they have evolved over time. The study's goal is to provide a comprehensive understanding of German prefixes and their usage for both German language learners and native speakers.</span></p><p><span><strong><span>Keywords: </span></strong><span>German<strong> </strong>prefixes, bound morphemes, lexemes, word-formation, words, etymology, etc.</span></span></p>

Semantic Analysis of «False- Friends»: A Case Study of English and Siin Seereer

The article is devoted to the semantic analysis of words called “False- Friends” in English and Siin Seereer. “False- Friends” are words belonging to two different languages and which have a great similarity in form between them or are written in the same, but whose meanings are different. In other words, a word is considered “False- Friend” when it is close in its writing or pronunciation to a term of another language but whose meaning is different. Thus, the study focuses on some words that belong both to English and Siin Seereer languages and whose meanings are different. English and Seereer are two different languages which do not belong to the same language family. English belongs to the Indo European language family, whereas Seereer is part of the West Atlantic branch of the Niger-Congo family. However, there are several identical words (in terms of writing) in these two languages and whose meanings may cause lots of difficulties to Seereer native speakers who learn English and to English native speakers who learn Seereer language. Furthermore, the study and/or analysis of these “False-Friends” arouse several questions some of which: Why do these two languages share these common words? Do these words have certain meanings in common? Do they belong to the same grammatical categories? Are they structured in the same way in both languages? Do these “False-Friends” have the same pronunciation in English and Seereer? What are their linguistic similarities and differences? To find answers to these questions, we will strive to explore the writings of some Seereer students. Field surveys as well as interviews of native speakers will also be organized and analyzed in this study. In addition, we will read documents (books, articles, novels, stories, etc.) written in English and in Siin Seereer. This research will help us have a lot of information and collect data for the corpus. After the elaboration of the corpus, we will move on to data analysis and we will end up with results that we are going to present during the discussions.

Zygomatic Implants Research: A Scientometric Analysis from 1990 to 2021

Zygomatic implants imply the use of the zygoma as the implant anchorage and have been proposed as a valuable alternative to the invasive classical procedures in cases of severe maxillary atrophy. Despite the numerous manuscripts published in this field, a quantitative analysis of the research products to infer the trends and the status identification of this specific issue was missing, as well as an objective map of this area. Thus, the present scientometric study analyzed all the research papers published within the interval 1990–2021 that included the keyword “zygomatic implants”. Research papers containing the keywords “zygomatic implants” were collected using Web of Science and analyzed with Cytoscape 3.7.2 and Sci software. A total of 654 studies were published between 1990 and 2020, reaching up to 11639 citations in total, with a mean of 17.8 citations per research study. Data show that the number of publications per year is rapidly increasing, as well as the sum of citations per year. While the USA was identified as the most productive country in this field, followed by Italy, Spain, and Brazil, the National Natural Science Foundation of China stands up as the major funding agency, followed by the National Institutes of Health (NIH) in the USA and the United States Department of Health and Human Services. The analysis of the keywords showed that “zygomatic fractures” represents the most common word within this field, with “complications” as the most recent keyword and “screws” as the keyword used for the longest time. The map of science representing the authors and their collaborations highlighted the existence of multiple small-size research groups that contribute to scientific production, forming highly clustered structures that do not collaborate between them. The present scientometric analysis demonstrates the rising interest in using the zygomatic implants technique as an alternative to the classical ones. The obtained data suggest that the scientific community involved in the study of such a field is highly fragmented, emphasizing the lack of communication among the scientists and research groups.

First Steps toward Voice User Interfaces for Web-Based Navigation of Geographic Information: A Spanish Terms Study

This work presents the first steps toward developing specific technology for voice user interfaces for geographic information systems. Despite having many general elements, such as voice recognition libraries, the current technology still lacks the ability to fully understand and process the semantics that real users apply to command geographic information systems. This paper presents the results of three connected experiments, following a mixed-methods approach. The first experiment focused on identifying the most common words used when working with maps in a web browser. The second experiment developed an understanding of the chain of commands used for map management for a specific objective. Finally, the third experiment involved the development of a prototype to validate this understanding. Using data and fieldwork, we created a minimum corpus of terms in Spanish. In addition, we identified the particularities of use and user profiles to consider in a voice user interface for geographic information systems, involving the user’s proprioception concerning the world and technology. These user profiles can be considered in future designs of human–technology interaction products. All the data collected and the source code of the prototype are provided as additional material, free to use and modify.

Words for Sale: Linguistic Complexity Associates with Higher Housing Prices in Online Realty Advertisements

Prior work suggests when instrumental goals are salient, linguistic complexity associates with positive behavioral outcomes compared to linguistic simplicity. The current work tested this idea using descriptions from over 1,000 online realty advertisements to associate with housing prices. The evidence suggested linguistic complexity (e.g., fewer common words, more analytic writing, and less readable writing) indeed associated with higher housing prices. These data explicated the contingent-on-effort hypothesis: linguistic complexity is favored when people value effort in a particular setting.

The Term “Masters” in the Sports Associated with Circumstances and Future Development

Masters’ Athletics has shown a significant and remarkable role for people’s happiness, physically and psychologically. World Masters Athletics (WMA) Championships started in 1975, and two terms of Veterans and Masters were used. Author Konoike was the president of Asia Masters Athletics (AMA) from 1998 to 2013, and established the International Masters Athletics Federation (IMAF) associated with continuing various competition games and research until now. During World competitions in 2000, he emphasized adequate official terms for Masters instead of Veterans. Japan Sports Masters (JSPO) has been established including lots of sports and “Masters” has become a standard common word for sports.