Dictionary Of Words Research Articles

خصائص اللهجة الكويتية المكتوبة واستخدامها في إنشاء موارد للتحليل الصرفي الآلي.

Kuwaiti Arabic (KA), like other Arabic dialects, is a spoken variety of Arabic that does not have a standardized written convention contrary to Modern Standard Arabic (MSA). With the emergence and spread of social media platforms, Arabic dialects have found their way into the written medium, and hence a need arose to process them alongside MSA. The biggest challenge facing NLP tools is that dialects do not have consistent written conventions contrary to MSA, and writers expressing their dialects usually follow a phonetic writing system, or they write words as they pronounce them. This has opened the door for variations within the same dialect and between dialects and MSA. Furthermore, a prerequisite for analysing any language or dialect is the presence of clear written conventions. Therefore, efforts have been made to establish written conventions for Arabic dialects, but the Kuwaiti dialect has not received the required attention. The current study offers a practical solution for processing written KA. It identified and extracted the written conventions of KA from natural data collected from over 100K Kuwaiti tweets since they represent a good model of natural language. The morphological analyzer (MADAMIRA) - which is designed to process MSA - was enhanced with the extracted criteria. Furthermore, the study involved enriching the analyzer with a dictionary of Kuwaiti terms and vocabulary ‘lemmas’ collected from the Encyclopaedia of Kuwaiti Arabic and from the most used Kuwaiti words on Twitter (currently X). Providing the analyzer with this dictionary of KA words helps it process KA more accurately. The expanded version of the analyzer (MADAMIRA-KA) is the first of its kind designed entirely to process the Kuwaiti dialect and has achieved excellent performance in analyzing over 100K Kuwaiti tweets successfully. The importance of this study lies in developing such a morphological analyzer, which can be used for automated translation, dialect recognition and sentiment analysis.

A Bidirectional Arabic Sign Language Framework Using Deep Learning and Fuzzy Matching Score

Sign language is widely used to facilitate the communication process between deaf people and their surrounding environment. Sign language, like most other languages, is considered a complex language which cannot be mastered easily. Thus, technology can be used as an assistive tool to solve the difficulties and challenges that deaf people face during interactions with society. In this study, an automatic bidirectional translation framework for Arabic Sign Language (ArSL) is designed to assist both deaf and ordinary people to communicate and express themselves easily. Two main modules were intended to translate Arabic sign images into text by utilizing different transfer learning models and to translate the input text into Arabic sign images. A prototype was implemented based on the proposed framework by using several pre-trained convolutional neural network (CNN)-based deep learning models, including the DenseNet121, ResNet152, MobileNetV2, Xception, InceptionV3, NASNetLarge, VGG19, and VGG16 models. A fuzzy string matching score method, as a novel concept, was employed to translate the input text from ordinary people into appropriate sign language images. The dataset was constructed with specific criteria to obtain 7030 images for 14 classes captured from both deaf and ordinary people locally. The prototype was developed to conduct the experiments on the collected ArSL dataset using the utilized CNN deep learning models. The experimental results were evaluated using standard measurement metrics such as accuracy, precision, recall, and F1-score. The performance and efficiency of the ArSL prototype were assessed using a test set of an 80:20 splitting procedure, obtaining accuracy results from the highest to the lowest rates with average classification time in seconds for each utilized model, including (VGG16, 98.65%, 72.5), (MobileNetV2, 98.51%, 100.19), (VGG19, 98.22%, 77.16), (DenseNet121, 98.15%, 80.44), (Xception, 96.44%, 72.54), (NASNetLarge, 96.23%, 84.96), (InceptionV3, 94.31%, 76.98), and (ResNet152, 47.23%, 98.51). The fuzzy matching score is mathematically validated by computing the distance between the input and associative dictionary words. The study results showed the prototype’s ability to successfully translate Arabic sign images into Arabic text and vice versa, with the highest accuracy. This study proves the ability to develop a robust and efficient real-time bidirectional ArSL translation system using deep learning models and the fuzzy string matching score method.

Does the Textual Tone of Analyst Reports Have Valuable Information? Korean Evidence*

AbstractWe investigate whether the text of analyst reports can provide additional information beyond the recommendation and target price. Positive and negative word lexicons are generated through an automated Bayesian learning method applied to Korean analyst reports spanning from 2016 to 2018. Then, the textual tone of an analyst report is quantified as the difference between the frequencies of positive and negative words in the text. The announcement returns of portfolios sorted by textual tone exhibit significant differences ranging from 1.14% to 2.82% within the same recommendation or target price revision group. Regression analysis also reveals significant association between the textual tone of analyst reports and stock announcement returns, even when controlling for the recommendation and target price. Notably, the text proves to be more informative in negative tones and within firms with limited analyst coverage. Our results indicate that textual analysis can unveil nuanced analyst opinions not captured by numerical information.

Neurobiological Causal Models of Language Processing.

The language faculty is physically realized in the neurobiological infrastructure of the human brain. Despite significant efforts, an integrated understanding of this system remains a formidable challenge. What is missing from most theoretical accounts is a specification of the neural mechanisms that implement language function. Computational models that have been put forward generally lack an explicit neurobiological foundation. We propose a neurobiologically informed causal modeling approach which offers a framework for how to bridge this gap. A neurobiological causal model is a mechanistic description of language processing that is grounded in, and constrained by, the characteristics of the neurobiological substrate. It intends to model the generators of language behavior at the level of implementational causality. We describe key features and neurobiological component parts from which causal models can be built and provide guidelines on how to implement them in model simulations. Then we outline how this approach can shed new light on the core computational machinery for language, the long-term storage of words in the mental lexicon and combinatorial processing in sentence comprehension. In contrast to cognitive theories of behavior, causal models are formulated in the "machine language" of neurobiology which is universal to human cognition. We argue that neurobiological causal modeling should be pursued in addition to existing approaches. Eventually, this approach will allow us to develop an explicit computational neurobiology of language.

Firms’ Rhetorical Nationalism: Theory, Measurement, and Evidence from a Computational Analysis of Chinese Public Firms

AbstractIn this article, we develop a computational measure of firm-level rhetorical nationalism. We first review the literature and develop a four-dimensional theoretical framework of nationalism relevant to firms: national pride, anti-foreign, dominant agenda (national revival), and corporate role. We then use machine-learning-based text analysis of over 41,000 annual reports of Chinese public firms from 2000 to 2020 and identify a dictionary of words for each dimension. Using a weighted ratio of nationalism-related words, we describe the overall picture of Chinese public firms’ rhetorical nationalism and provide the first empirical evidence regarding rising rhetorical nationalism among Chinese firms. Firms’ demonstration of rhetorical nationalism is related to both strategic and socialization factors; firms that are state-owned enterprises, older, larger, more profitable, consumer-facing, with more individual investors, and lower sales from overseas demonstrate a higher level of nationalism. Firms that demonstrate more rhetorical nationalism also have a better future financial return. Our study provides a theoretical framework for the organizational study of nationalism and a new measure for firms’ rhetorical nationalism, and demonstrates that rising rhetorical nationalism among Chinese firms is more strongly driven by firms’ motivations to appeal to domestic investors and consumers than to obtain government subsidies. Our dataset is publicly available at: https://sites.google.com/view/firms-rhetorical-nationalism

Application Design for the Deaf Users of Trans Jogja Based on Android

Abstract This study proposes the design and development of an Android application tailored specifically for the deaf users of the Trans Jogja public transportation system. With the aim of enhancing accessibility and usability for this marginalized user group, the application integrates features that cater to their unique communication needs and challenges. Purpose: Universitas Nahdlatul Ulama Yogyakarta has a Disability Services Unit or ULD called GESI. This unit accommodates the accessibility needs of deaf students. Deaf students usually use Trans Jogja as a means of transportation to campus. An obstacle that students often face is missing the location of their destination bus stop. This happens because students are too busy playing with their cell phones, causing a loss of focus. Therefore, tools are needed as a reminder of the location of the destination bus stop. This research aims to design a tool application for deaf students using Android-based Trans Jogja public transportation. Methods/Study design/approach: This research methods uses a prototype which includes communication, quick plan and design modeling, construction of prototype, and development delivery feedback. Result/Findings: The results of this research are in the form of a prototype that has several features, namely searching for starting and destination stops, text to voice, word dictionary, volume settings, and distance settings. Novelty/Originality/Value: The design of an application to assist deaf people in using Trans Jogja based on Android is used for students with hearing impairments, especially for Trans Jogja public transportation.

L2 Listening, Word Gain, and Learner Perspectives through Partial Dictation vs Reading-while-listening

Purpose: This study explored how the partial dictation of key words with L1 glossing (PDGL1) and reading-while-listening with the words boldfaced and underlined (RWLBU) while listening to audiovisual TED talks differently influence L2 listening, word gain, and learner perspectives.
 Methods: Fifty-six beginner learners took part in the study who were randomly assigned to the two groups. Data collection consisted of a pretest for selecting target words (TWs), a pretest for listening comprehension, two times of interventions, two immediate posttests for TWs, and a retrospective questionnaire.
 Results: The results showed that overall the PDGL1 group yielded significantly more immediate word recall and delayed retention in receptive and productive knowledge as well as listening comprehension, while RWLBU only contributed for immediate receptive word recall. Both groups showed positive perspectives on word learning and affective factors such as motivation and interest with no significant differences.
 Conclusion: The beneficial results from PDGL1 appeared to be attributed to language-focused partial dictation of key words with L1 glosses, which promotes learners to pay attention to form-meaning connections and cognitive processes. This could encourage beginner learners to be involved in better language performances, resulting in positive perspectives (Dankook University).

Tendencias neológicas en la terminología gastronómica española

Neological Tendencies in the Spanish Gastronomic Terminology. The present paper aims to identify and analyse the neological tendencies in the contemporary Spanish gastronomic terminology, from the angle of term formation. The phenomenon of globalization has privileged the circulation of goods, culinary products, cooking techniques, along with the specific vocabulary related to the gastronomic field. Thus, the gastronomic terminology is being enriched with new items, especially loanwords taken from other languages. Our study is based on a corpus of Spanish newspaper articles on gastronomy topics, in which we have identified a fair amount of neologisms. The second phase of the study consisted of contrasting the identified neologisms with dictionaries and linguistic corpora (CORPES XXI) in order to establish their novelty. In our corpus, apart from the prevailing number of Anglicisms (dumpling), we can also identify a great deal of lexemes borrowed from languages such as Japanese (ramen), Chinese (jiaozi), Korean (kimchi), Arabic (shakshuka), Greek (tzatziki), Turkish (imam bayildi) etc. Also, some of these latter lexemes were borrowed indirectly, via English. The other mechanisms of term formation, namely derivation (comidista), compounding (gastroturista) and resemantization (bikini, 'sandwich'), are less productive and representative, as the number of neologisms formed by these means is significantly lower. Regarding the graphic, phonetic and morpho-syntactic adaptation to the Spanish language, the analysed neologisms present various degrees. The conclusions of this research highlight the adaptability of the Spanish language, its permeability and ability to integrate new lexical items, also demonstrated by the inclusion of many neologisms and foreign words in the academic dictionary of general usage. In addition, our study reveals that a great number of neologisms are not adopted out of designative or semantic necessity, but they rather reflect a linguistic fashion, as well as the need for novelty and stylistic expressiveness. Keywords: neology, Spanish gastronomic terminology, lexicogenetic mechanisms, loanwords, resemantization

Modern picture of English lexicography on the material of dictionaries of new words

Modern picture of English lexicography on the material of dictionaries of new words

A Study on the Lexicographic Approaches Utilized by English Language Scholars from Saudi Arabia: Emphasizing the Use of Dictionaries

This research investigates the lexicographic strategies employed by Saudi English language scholars, focusing on their utilization of dictionaries. The study also assesses the effectiveness of bidirectional Arabic-English dictionaries, particularly for Saudi Arabian students learning English as a foreign language. This study utilized (SPSS versiоn 21.0) tо analyze data cоllected оn dictiоnary use strategies amоng Saudi students. The Likert scale was emplоyed tо encоde respоnses, and Crоnbach's cоefficient alpha analysis ensured internal cоnsistency. Results indicated that strategic dictiоnary use amоng Saudi students falls within the medium range, with a mean scоre оf 2.87. Nоtably, participants shоwed a higher inclinatiоn tоward emplоying lооk-up strategies (average = 3.69) and dictiоnary selectiоn strategies (average = 3.51), while repоrting less frequent utilizatiоn оf awareness strategies (average = 2.01) and lemmatizatiоn strategies (mean = 2.10). As far as the efficacy, usage, attitudes, and impacts of bi-directional online translation tools are concerned, participants unanimously rated these highly (average= 4.7) for saving time, in cases where the word(s) was unknown (average= 4.5), and in recording the new word in the mental lexicon (average= 4.2), but as confusing (average= 4.8) when used for complex word structure translation. In conclusion, Saudi Language and Translation program students demоnstrated mоderate scоres acrоss the fоur categоries оf dictiоnary use strategies, with a higher inclinatiоn tоward lооk-up and dictiоnary selectiоn strategies and lesser emphasis оn awareness and lemmatizatiоn strategies.

Diachronic predictor of affective ratings of English words

This work considers implementation of a diachronic predictor of valence, arousal and dominance ratings of English words. The estimation of affective ratings is based on data on word co-occurrence statistics in the large diachronic Google Books Ngram corpus. Affective ratings from the NRC VAD dictionary are used as target values for training. When tested on synchronic data, the obtained Pearson‘s correlation coefficients between human affective ratings and their machine ratings are 0.843, 0.779 and 0.792 for valence, aroused and dominance, respectively. We also provide a detailed analysis of the accuracy of the predictor on diachronic data. The main result of the work is creation of a diachronic affective dictionary of English words. Several examples are considered that illustrate jumps in the time series of affective ratings when a word gains a new meaning. This indicates that changes in affective ratings can serve as markers of lexical-semantic changes.

Word association task responses prime associations in subsequent trials.

The word association task has been used extensively in psychological and linguistic research as a way of measuring connections between words in the mental lexicon. Interpretation of word association data has assumed that responses represent the strongest association between cue word and response, but there is evidence that participant behaviour can be affected by task instructions and design. This study investigated whether word association responses can be primed by the participants' own response to the preceding cue-that is, whether the order in which cues are presented alters the responses that are generated. Results showed that the proportion of participants who provide a particular association (e.g., acid-RAIN) is greater when their response to the previous cue in the list is also associated with rain (e.g., parasol-UMBRELLA). The same is not true when the two cues are presented non-consecutively. Word association tasks should be administered such that the order in which cues are presented is random for every participant so as to avoid unintentional contamination of associative strength data.

Early Identification of Dyslexia: Benefits, Challenges, and the Importance of Parental Awareness

Adults and children can both develop dyslexia, a chronic condition that presents numerous challenges in their social and academic environments. Children with dyslexia often struggle in school, which can lead to feelings of frustration and low self-worth, potentially impacting their long-term well-being. It is crucial for parents to be aware of dyslexia and how it affects their children in order to ensure their sustainable growth. Keep in mind that there is no universal or single method for learning, as every individual is unique and learns, thinks, and behaves differently. This understanding can help dyslexic children lead better lives and overcome the stigma associated with dyslexia. It's common for both parents and children to be hesitant to seek assistance due to the stigma surrounding dyslexia, which can hinder the child's educational progress. This paper aims to provide an overview of the benefits and challenges of early dyslexia identification. Dyslexic children often struggle with developing reliable and efficient phonemic decoding abilities, which makes acquiring a lexicon of sight words a slower process than it is for the average reader. Several factors can impact a child's ability to read, which are discussed in this paper. However, early recognition and treatment of inadequate phonologic awareness are crucial in preventing reading problems in children who are at risk of dyslexia.

Words Definition in the Vietnamese Dictionary from the Perspective of Troponymy

Each language, in the vocabulary system in general and the verb vocabulary system in particular, troponymy is one of the most important types of semantic relationships. The troponymy is one of the important semantic relations of the Vietnamese verb lexical system. The article is about some methods of defining words in Vietnamese dictionaries today. First of all, the article briefly summarizes definition methods in general and the using of the hypernym method in particular. Then, the article describes the word definition of the activity of going, seing... Thereby, the author wants to give an opinion on a way to define the meaning of words through từ bao (hypernym) và từ cách (troponym)

A new dictionary of Oriental words in Italian sources, and the chronology of Turkish izafets

A new dictionary of Oriental words in Italian sources, and the chronology of Turkish izafets

Elicitation and substitution in pre-Islamic poetry in dictionaries of words until the end of the fourth century AH.

Elicitation and substitution in pre-Islamic poetry in dictionaries of words until the end of the fourth century AH.

Responsible Leadership with Chinese Characteristics

AbstractResponsible leadership (RL) has become a buzz word in the current lexicon of business and politics, but there is still limited agreement on the components, scope, and characteristics. The confusion is rooted, in part, in the dominance of normative perspectives that take RL as a universal phenomenon. However, embedded in a specific culture, RL cannot be understood fully without understanding the moral traditions of that culture. In this article, we used a case study method to explore how RL is understood and practiced in China. Taking the role theory perspective, we conducted in-depth interviews with 9 highly regarded responsible executive leaders and 92 stakeholders in and outside of their companies who were well acquainted with the leaders. Our findings reveal that in China, the moral character of leaders guides them to define and take responsibility for themselves, their employees, companies, and external stakeholders. The five dimensions of RL we identified and the relationships among the dimensions include characteristics that reflect Chinese culture, such as strong sentiment for the nation, self-discipline, developing employees philosophically, and ‘jun zi wu ben’ (a gentleman should focus on fundamental matters). We conclude by discussing the implications of our study for RL research and practice.

Label-Aware Chinese Event Detection with Heterogeneous Graph Attention Network

Event Detection (ED) aims to recognize instances of specified types of event triggers in text. Different from English ED, Chinese ED suffers from the problem of word-trigger mismatch due to the uncertain word boundaries. Existing approaches injecting word information into character-level models have achieved promising progress to alleviate this problem, but they are limited by two issues. First, the interaction between characters and lexicon words is not fully exploited. Second, they ignore the semantic information provided by event labels. We thus propose a novel architecture named Label enhanced Heterogeneous Graph Attention Networks (L-HGAT). Specifically, we transform each sentence into a graph, where character nodes and word nodes are connected with different types of edges, so that the interaction between words and characters is fully reserved. A heterogeneous graph attention networks is then introduced to propagate relational message and enrich information interaction. Furthermore, we convert each label into a trigger-prototype-based embedding, and design a margin loss to guide the model distinguish confusing event labels. Experiments on two benchmark datasets show that our model achieves significant improvement over a range of competitive baseline methods.

Ability To Distinguish Between Standard Vocabulary And Non-Standard Vocabulary In Indonesian Language Courses For Semester 1 Class F Students At Faculty Of Veterinary Medicine In 2023

Standard words are words that follow linguistic rules recognized in Indonesian. Spelling, conventional grammar, and common dictionary words are just some of the linguistic norms that can be found in standard words. This research aims to describe the level of students' ability to differentiate standard vocabulary from non-standard vocabulary in Indonesian. The population in this study were students in semester 1 (one) class F of the Veterinary Medicine Education Study Program, Faculty of Veterinary Medicine, Mandalika Education University totaling 39 people. Data collection was carried out using test techniques, while data analysis was carried out using percentage techniques. Based on the results of the research that has been carried out, it is known that the level of student ability is adequate. This can be seen from the results of data analysis which shows that 74.36%Sample students who got a score of 6.5 and above, while students who got a score below 6.5 were 25.64%%.On this basis, it is hoped that in the learning process in class, lecturers who teach Indonesian language courses will intensively provide assignments or training to students, especially in terms of the differences between standard and non-standard vocabulary. So that in the end students are able to determine the differences between the two

From Academic Term to Everyday Slur: The Definitions of “Gender” in Two Volumes of the “Dictionary of New Words in the Bulgarian Language”

From Academic Term to Everyday Slur: The Definitions of “Gender” in Two Volumes of the “Dictionary of New Words in the Bulgarian Language”