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Journal articles on the topic 'Our best words'

Author: Grafiati

Published: 29 July 2024

Last updated: 31 July 2025

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1

rief, linda. "Student Voices: We Are Doing Our Best, Sam, to Listen and Learn." Voices from the Middle 25, no. 1 (2017): 95–97. http://dx.doi.org/10.58680/vm201729289.

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Linda Rief crafts this column, writing alongside her middle school students, to show the beauty and possibilities that lie within the words our students use to make sense of their world. In this issue, the Bowtie Boys (a group of 8th, 9th, and 10th graders) talk with Rief about advice they would give to teachers.

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Banzhaf, W. H. "Commentary: Actions Speak Louder than Words." Journal of Forestry 99, no. 5 (2001): 1. http://dx.doi.org/10.1093/jof/99.5.1.

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Umarova, Saida. "USE OF OCCASIONAL WORDS AND OCCASIONAL PHRASES IN THE WORKS OF GAYBULLAHAS SALAM." INTERNATIONAL JOURNAL OF WORD ART 3, no. 3 (2020): 30–34. http://dx.doi.org/10.26739/2181-9297-2020-3-4.

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This article takes into a а соnsiderable proportion of G’aybulla as-Salom for linguistics and his desire about mature and best linguists in our country. Also a lot of defects in linguistc, motion of professor G’aybulla as-Salom about this. The most important problem is this process an appropriate and necessary in Uzbekistan

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Zhou, Xuanxuan, and Yan Hua. "Culture-loaded Words and Translation Equivalence." Theory and Practice in Language Studies 11, no. 2 (2021): 210. http://dx.doi.org/10.17507/tpls.1102.14.

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Language and culture have very close relationship and can’t dispense with each other. In translation practice, we must fully consider the cultural differences, and completely understand the meaning of the culture-loaded words, try our best to convey the information as much as possible, and realize translation equivalence and cultural exchange.

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Vianney, Jjukira, Immaculate Nakitende, Henry Kalema, Sylivia Namuleme, and John Kellett. "What words best capture the symptom of breathlessness in Uganda?" South Sudan Medical Journal 16, no. 1 (2023): 16–19. http://dx.doi.org/10.4314/ssmj.v16i1.4.

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Introduction: Anecdotal experience suggests that Ugandan patients complain infrequently of breathlessness. The Luganda language, spoken in Uganda, does not have one word to express breathlessness but uses various phrases. Therefore, many of these patients may not be able to express what they feel when they are breathless by a single English word. Our aim was to determine the frequency and severity of the symptoms captured by a Luganda translation of the Dyspnea-12 (D12) questionnaire, a well validated measure of different dimensions of breathlessness. Method: All alert non-pregnant adult

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Syed Razi Muhammad. "Best Evidence Medical Education." JMMC 2, no. 1 (2011): 1–2. http://dx.doi.org/10.62118/jmmc.v2i1.407.

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Best evidence Medical Practice (BEMP) has given much needed direction to medical practice in the last quarter of a century. I vividly remember that during my education in Dow Medical College in early 80s, and later during my practice in UK in mid 80s and part of mid 90s, we practiced what we saw or sometimes read. In other words, Medical practice was based on fixed opinions. From early 90s, it was obvious that most doctors, especially those working in teaching hospitals, were becoming more sensitive towards the need for evidence before accepting any change in their practice. This was made easy

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Preston, Samuel H. "My Life in Words and Numbers." Annual Review of Sociology 46, no. 1 (2020): 1–17. http://dx.doi.org/10.1146/annurev-soc-110619-031647.

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George Orwell reportedly said that “Autobiography is only to be trusted when it reveals something disgraceful.” I've done my best to eliminate any disgraceful episodes from the following account, thereby compromising its trustworthiness. What's left is a record of someone lucky enough to ( a) find a career as a demographer that was ideally suited to his affinity for writing and math and ( b) find institutions and individuals who vigorously and uncompromisingly supported the search for a better understanding of our social world. I can only hope that I have been equally supportive of students, c

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Mahdi, Muhammad. "The Best Rules for Knowing the Inferior Hadith." Islamic Sciences Journal 12, no. 4 (2023): 278–96. http://dx.doi.org/10.25130/jis.21.12.4.12.

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The inferior hadiths about the Prophet, may Allah’s prayers and peace be upon him, are numerous and not known by every person other than the people of the hadith and its bearers. It is possible to know the inferior hadiths by laying down clear rules taken from what scholars have deduced through their knowledge of the words of our master, the Messenger of Allah, may Allah’s prayers and peace be upon him. The deliberate inferiority on our master, the Messenger of Allah, may Allah bless him and grant him peace, is considered one of the greatest sins. Whoever narrates hadiths made out of negligenc

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SCHERRER, YVES, and TOMAŽ ERJAVEC. "Modernising historical Slovene words." Natural Language Engineering 22, no. 6 (2015): 881–905. http://dx.doi.org/10.1017/s1351324915000236.

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AbstractWe propose a language-independent word normalisation method and exemplify it on modernising historical Slovene words. Our method relies on character-level statistical machine translation (CSMT) and uses only shallow knowledge. We present relevant data on historical Slovene, consisting of two (partially) manually annotated corpora and the lexicons derived from these corpora, containing historical word–modern word pairs. The two lexicons are disjoint, with one serving as the training set containing 40,000 entries, and the other as a test set with 20,000 entries. The data spans the years

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Holtman, Jessica Nation. "Standing in the Way of Our Goals." Texas A&M Law Review 5, no. 3 (2018): 563–93. http://dx.doi.org/10.37419/lr.v5.i3.4.

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Currently in Texas, standing options for third-party nonparents seeking to file suits affecting the parent-child relationship (“SAPCRs”) are extremely limited. And, even though the standing options are codified, the evidence necessary to meet the threshold elements may be drastically different depending on the case’s location. These third parties, who have previously exercised parental responsibilities, must make showings to the court that most divorced parents could not make; and this is just for a chance to bring a claim in court. While this seems unfair, and Texas should absolutely resolve

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Mykytka, Iryna, and Isabel Balteiro. "Painting with words: describing women in photography." Feminismo/s, no. 38 (July 13, 2021): 149. http://dx.doi.org/10.14198/fem.2021.38.06.

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This study aims to identify and explore the linguistic devices used to describe women in photography, and the similarities and differences between women and men’s descriptions. Nowadays, digital photographs are often accompanied by text such as titles, descriptions, comments, or tags. Though the language used in social media has largely been explored in relation to different fields of knowledge and from different perspectives, to the best of our knowledge, there is no work dealing with the language used by professional photographers to describe women and men. In order to carry out the study, w

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Chen, Bi, Leilei Zhu, Daniel Kifer, and Dongwon Lee. "What Is an Opinion About? Exploring Political Standpoints Using Opinion Scoring Model." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 1007–12. http://dx.doi.org/10.1609/aaai.v24i1.7717.

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In this paper, we propose a generative model to automatically discover the hidden associations between topics words and opinion words. By applying those discovered hidden associations, we construct the opinion scoring models to extract statements which best express opinionists’ standpoints on certain topics. For experiments, we apply our model to the political area. First, we visualize the similarities and dissimilarities between Republican and Democratic senators with respect to various topics. Second, we compare the performance of the opinion scoring models with 14 kinds of methods to find t

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Wilhelm, Jeffrey D. "Next Steps in the Journey: The Power of Teacher Inquiry: Developing a Critical Literacy for Teachers." Voices from the Middle 17, no. 2 (2009): 36–39. http://dx.doi.org/10.58680/vm20099460.

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While developing critical literacy in our students is a priority for all of us, Wilhelm believes that we must develop a critical literacy of teaching, as well. He asserts that this can best be achieved by 1) teaching through an inquiry context, and 2) taking on a teacher-researcher stance to think both reflectively and reflexively about our teaching. In other words, we must always learn from our students how best to teach them.

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Lamsaf, Asmae, Mounir Ait kerroum, Siham Boulaknadel, and Youssef Fakhri. "Recognition of Arabic handwritten words using convolutional neural network." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 2 (2022): 1148–55. https://doi.org/10.11591/ijeecs.v26.i2.pp1148-1155.

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A new method for recognizing automatically Arabic handwritten words was presented using convolutional neural network architecture. The proposed method is based on global approaches, which consists of recognizing all the words without segmenting into the characters in order to recognize them separately. Convolutional neural network (CNN) is a particular supervised type of neural network based on multilayer principle; our method needs a big dataset of word images to obtain the best result. To optimize our system, a new database was collected from the benchmarking Arabic handwriting database usin

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El-Razzaz, Mohammed, Mohamed Waleed Fakhr, and Fahima A. Maghraby. "Arabic Gloss WSD Using BERT." Applied Sciences 11, no. 6 (2021): 2567. http://dx.doi.org/10.3390/app11062567.

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Word Sense Disambiguation (WSD) aims to predict the correct sense of a word given its context. This problem is of extreme importance in Arabic, as written words can be highly ambiguous; 43% of diacritized words have multiple interpretations and the percentage increases to 72% for non-diacritized words. Nevertheless, most Arabic written text does not have diacritical marks. Gloss-based WSD methods measure the semantic similarity or the overlap between the context of a target word that needs to be disambiguated and the dictionary definition of that word (gloss of the word). Arabic gloss WSD suff

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Enciso, Sarah, Carlson Milikin, and James Scofield O’Rourke. "Corporate culture and ethics: from words to actions." Journal of Business Strategy 38, no. 6 (2017): 69–79. http://dx.doi.org/10.1108/jbs-01-2017-0001.

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Purpose Business organizations should strive to create ethical cultures to win consumer loyalty and thus safeguard long-term performance success. Management bears ultimate responsibility for promoting ethical behavior. By rewarding ethical behaviors and punishing transgressions, management will reinforce morally upright behavior and create a positive company culture. Successful promotion of corporate ethics, in turn, will boost employee morale, increase performance beyond bare minimums and retain employees in the long run. With a well-structured ethics code and strong reward system, management

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Lamsaf, Asmae, Mounir Ait Kerroum, Siham Boulaknadel, and Youssef Fakhri. "Recognition of Arabic handwritten words using convolutional neural network." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 2 (2022): 1148. http://dx.doi.org/10.11591/ijeecs.v26.i2.pp1148-1155.

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<span>A new method for recognizing automatically Arabic handwritten words was presented using convolutional neural network architecture. The proposed method is based on global approaches, which consists of recognizing all the words without segmenting into the characters in order to recognize them separately. Convolutional neural network (CNN) is a particular supervised type of neural network based on multilayer principle; our method needs a big dataset of word images to obtain the best result. To optimize our system, a new database was collected from the benchmarking Arabic handwriting d

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Dhrolia, Murtaza, and Aasim Ahmad. "Problem to solution; from mammalian skin grafts to renal allograft rejection: a tale of 66 years of evolution of our understanding." Journal of the Pakistan Medical Association 73, no. 6 (2023): 1255–65. http://dx.doi.org/10.47391/jpma.6600.

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The first successful kidney transplant was done in 1954, and it remains the best option for those with failed kidneys. However, the recipient’s immune system remains the most formidable barrier to transplantation, leading to rejection. Rejection continues to be the most important reason of graft malfunction and chronic renal allograft dysfunction and remains a challenge to date for successful transplant survival. The current narrative review was planned to find the best possible solution to the problem from among the different solutions presented in literature related to allograft rejection si

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Zdrazilova, Lenka, David M. Sidhu, and Penny M. Pexman. "Communicating abstract meaning: concepts revealed in words and gestures." Philosophical Transactions of the Royal Society B: Biological Sciences 373, no. 1752 (2018): 20170138. http://dx.doi.org/10.1098/rstb.2017.0138.

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Abstract words refer to concepts that cannot be directly experienced through our senses (e.g. truth , morality ). How we ground the meanings of abstract words is one of the deepest problems in cognitive science today. We investigated this question in an experiment in which 62 participants were asked to communicate the meanings of words (20 abstract nouns, e.g. impulse ; 10 concrete nouns, e.g. insect ) to a partner without using the words themselves (the taboo task). We analysed the speech and associated gestures that participants used to communicate the meaning of each word in the taboo task.

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Vetráb, Mercedes, and Gábor Gosztolya. "Using the Bag-of-Audio-Words approach for emotion recognition." Acta Universitatis Sapientiae, Informatica 14, no. 1 (2022): 1–21. http://dx.doi.org/10.2478/ausi-2022-0001.

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Abstract The problem of varying length recordings is a well-known issue in paralinguistics. We investigated how to resolve this problem using the bag-of-audio-words feature extraction approach. The steps of this technique involve preprocessing, clustering, quantization and normalization. The bag-of-audio-words technique is competitive in the area of speech emotion recognition, but the method has several parameters that need to be precisely tuned for good efficiency. The main aim of our study was to analyse the effectiveness of bag-of-audio-words method and try to find the best parameter values

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Soler, Aina Garí, Matthieu Labeau, and Chloé Clavel. "The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations." Transactions of the Association for Computational Linguistics 12 (2024): 299–320. http://dx.doi.org/10.1162/tacl_a_00647.

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Abstract When deriving contextualized word representations from language models, a decision needs to be made on how to obtain one for out-of-vocabulary (OOV) words that are segmented into subwords. What is the best way to represent these words with a single vector, and are these representations of worse quality than those of in-vocabulary words? We carry out an intrinsic evaluation of embeddings from different models on semantic similarity tasks involving OOV words. Our analysis reveals, among other interesting findings, that the quality of representations of words that are split is often, but

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Doval, Yerai, Jesús Vilares, and Carlos Gómez-Rodríguez. "Towards Robust Word Embeddings for Noisy Texts." Applied Sciences 10, no. 19 (2020): 6893. http://dx.doi.org/10.3390/app10196893.

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Research on word embeddings has mainly focused on improving their performance on standard corpora, disregarding the difficulties posed by noisy texts in the form of tweets and other types of non-standard writing from social media. In this work, we propose a simple extension to the skipgram model in which we introduce the concept of bridge-words, which are artificial words added to the model to strengthen the similarity between standard words and their noisy variants. Our new embeddings outperform baseline models on noisy texts on a wide range of evaluation tasks, both intrinsic and extrinsic,

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Wicaksana, Hilman Singgih, Retno Kusumaningrum, and Rahmat Gernowo. "Determining community happiness index with transformers and attention-based deep learning." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 1753. http://dx.doi.org/10.11591/ijai.v13.i2.pp1753-1761.

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In the current digital era, evaluating the quality of people's lives and their happiness index is closely related to their expressions and opinions on Twitter social media. Measuring population welfare goes beyond monetary aspects, focusing more on subjective well-being, and sentiment analysis helps evaluate people's perceptions of happiness aspects. Aspect-based sentiment analysis (ABSA) effectively identifies sentiments on predetermined aspects. The previous study has used Word-to-Vector (Word2Vec) and long short-term memory (LSTM) methods with or without attention mechanism (AM) to solve AB

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Hilman, Singgih Wicaksana, Kusumaningrum Retno, and Gernowo Rahmat. "Determining community happiness index with transformers and attention-based deep learning." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 1753–61. https://doi.org/10.11591/ijai.v13.i2.pp1753-1761.

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In the current digital era, evaluating the quality of people's lives and their happiness index is closely related to their expressions and opinions on Twitter social media. Measuring population welfare goes beyond monetary aspects, focusing more on subjective well-being, and sentiment analysis helps evaluate people's perceptions of happiness aspects. Aspect-based sentiment analysis (ABSA) effectively identifies sentiments on predetermined aspects. The previous study has used word-to-vector (Word2Vec) and long short-term memory (LSTM) methods with or without attention mechanism (AM) to solve AB

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Elder, Alexis M. "What Words Can’t Say." Journal of Information, Communication and Ethics in Society 16, no. 1 (2018): 2–15. http://dx.doi.org/10.1108/jices-08-2017-0050.

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Purpose This paper aims to survey the moral psychology of emoji, time-restricted messaging and other non-verbal elements of nominally textual computer-mediated communication (CMC). These features are increasingly common in interpersonal communication. Effects on both individual well-being and quality of intimate relationships are assessed. Results of this assessment are used to support ethical conclusions about these elements of digital communication. Design/methodology/approach Assessment of these non-verbal elements of CMC is framed in light of relevant literature from a variety of fields, i

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Ruzsa, Ferenc. "Unfaithful Words: Tolerance." Távol-keleti Tanulmányok 17, no. 1 (2025): 77–97. https://doi.org/10.38144/tkt.2025.1.4.

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Anyone translating religious or philosophical texts of far-away cultures is painfully aware of the impossibility of the enterprise, essentially on account of the lack of terms with near-identical meaning. However, the words are only the surface: the real problem is with the different concepts they express. The same problem reappears when we try to describe and understand these cultures. Words like religion, creed, faith, belief, prayer, worship, church, heresy, conversion, and idol are far from the neutral scholarly terms they appear to be: they all are heavily laden with features and associat

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Stanchev, Lubomir. "Measuring the Strength of the Semantic Relationship Between Words." International Journal on Artificial Intelligence Tools 24, no. 02 (2015): 1540011. http://dx.doi.org/10.1142/s0218213015400114.

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We propose a novel way for extracting the strength of the semantic relationship between words from semi-structured sources, such as WordNet. Unlike existing approaches that only explore the structured information (e.g., the hypernym relationship in WordNet), we present a framework that allows us to utilize all available information, including natural text descriptions. Our approach constructs a similarity graph that stores the strength of the semantic relationship between words. Specifically, an edge between two words describes the probability that someone who is interested in resources about

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Rantala, Leevi, and Mika Mäntylä. "Predicting technical debt from commit contents: reproduction and extension with automated feature selection." Software Quality Journal 28, no. 4 (2020): 1551–79. http://dx.doi.org/10.1007/s11219-020-09520-3.

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AbstractSelf-admitted technical debt refers to sub-optimal development solutions that are expressed in written code comments or commits. We reproduce and improve on a prior work by Yan et al. (2018) on detecting commits that introduce self-admitted technical debt. We use multiple natural language processing methods: Bag-of-Words, topic modeling, and word embedding vectors. We study 5 open-source projects. Our NLP approach uses logistic Lasso regression from Glmnet to automatically select best predictor words. A manually labeled dataset from prior work that identified self-admitted technical de

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Hassan, Ahmed, Amjad Abu-Jbara, Wanchen Lu, and Dragomir Radev. "A Random Walk–Based Model for Identifying Semantic Orientation." Computational Linguistics 40, no. 3 (2014): 539–62. http://dx.doi.org/10.1162/coli_a_00192.

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Automatically identifying the sentiment polarity of words is a very important task that has been used as the essential building block of many natural language processing systems such as text classification, text filtering, product review analysis, survey response analysis, and on-line discussion mining. We propose a method for identifying the sentiment polarity of words that applies a Markov random walk model to a large word relatedness graph, and produces a polarity estimate for any given word. The model can accurately and quickly assign a polarity sign and magnitude to any word. It can be us

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ZHANG, WEN, TAKETOSHI YOSHIDA, and XIJIN TANG. "DISTRIBUTION OF MULTI-WORDS IN CHINESE AND ENGLISH DOCUMENTS." International Journal of Information Technology & Decision Making 08, no. 02 (2009): 249–65. http://dx.doi.org/10.1142/s0219622009003399.

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As a hybrid of N-gram in natural language processing and collocation in statistical linguistics, multi-word is becoming a hot topic in area of text mining and information retrieval. In this paper, a study concerning distribution of multi-words is carried out to explore a theoretical basis for probabilistic term-weighting scheme. Specifically, the Poisson distribution, zero-inflated binomial distribution, and G-distribution are comparatively studied on a task of predicting probabilities of multi-words' occurrences using these distributions, for both technical multi-words and nontechnical multi-

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كامل كريم, زينب. "ما تفرد استعماله من الفاظ في القرآن الكريم". Journal of the College of Islamic Sciences 69 (30 березня 2022): 29–66. http://dx.doi.org/10.51930/jcois.21.69.0029.

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We are aware that we cannot reach a correct level of understanding of the Arabic language without using the Quran as our main source in our research. Since the word of the Quran that put an end to all words which kneeled before it all the phrases that leads to the showcasing of the Arabic language in its best self. Arab scientist realized this truth and gave all their attention to the singular and created from it an important subject for their research in the origins of the language and the science behind. Thus, since they dealt with the structure and studied the significance of the context th

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كامل, زينب. "ما تفرد استعماله من الفاظ في القرآن الكريم". Journal of the College of Islamic Sciences 69 (30 березня 2022): 29–66. http://dx.doi.org/10.51930/jcois.21.69.29.

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We are aware that we cannot reach a correct level of understanding of the Arabic language without using the Quran as our main source in our research. Since the word of the Quran that put an end to all words which kneeled before it all the phrases that leads to the showcasing of the Arabic language in its best self. Arab scientist realized this truth and gave all their attention to the singular and created from it an important subject for their research in the origins of the language and the science behind. Thus, since they dealt with the structure and studied the significance of the context th

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Durand, Jean-Pierre. "Can we make our own history?" Capital & Class 21, no. 2 (1997): 143–58. http://dx.doi.org/10.1177/030981689706200107.

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Can we still make our own history? Continuing our series of POLEMICS, Jean-Pierre Durand considers the continuing relevance of Marx's concept of the dialectic for explanations of contemporary social and economic changes. In particular, he argues that while Marx's dialectic is crucial for explanations of social contradictions and crises today, it is not an adequate guide to social and political action. THE LEADING WORK OF MARX has a sub-title: A Critique of Political Economy. I believe that Marx was one of the best thinkers of capitalism. Capitalism is not dead, even though it has changed great

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Fuad, Ahlam, Amany bin Gahman, Rasha Alenezy, Wed Ateeq, and Hend Al-Khalifa. "Qillah: A Morphological Extension for Identifying Plural-of-Paucity Arabic Words." International Journal of Asian Language Processing 30, no. 03 (2020): 2050013. http://dx.doi.org/10.1142/s2717554520500137.

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Plural of paucity is one type of broken plural used in the classical Arabic. It is used when the number of people or objects ranges from three to 10. Based on our evaluation of four current state-of-the-art Arabic morphological analyzers, there is a lack of identification of broken plural words, specifically the plural of paucity. Therefore, this paper presents Qillah (paucity), a morphological extension that is built on top of other morphological analyzers and uses a hybrid rule-based and lexicon-based approach to enhance the identification of plural of paucity. Two versions of the Qillah wer

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McIntosh, Margaret E. "Word Roots in Geometry." Mathematics Teacher 87, no. 7 (1994): 510–15. http://dx.doi.org/10.5951/mt.87.7.0510.

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Vocabulary and word study are now considered to be within the purview of the mathematics classroom. But, as mathematics teachers, we rarely do a separate unit on “words.” Instead, we teach the words Students' learning logs helped me gauge their tnderstanding 510 our students need—triangles, quadratic equations, and so on—along with the regular unit of study. This article offers suggestions for a unit on word study in geometry. This unit lasts one week and is best presented as the first unit of the year.

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Xue, Fuzhao, Aixin Sun, Hao Zhang, and Eng Siong Chng. "GDPNet: Refining Latent Multi-View Graph for Relation Extraction." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (2021): 14194–202. http://dx.doi.org/10.1609/aaai.v35i16.17670.

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Relation Extraction (RE) is to predict the relation type of two entities that are mentioned in a piece of text, e.g., a sentence or a dialogue. When the given text is long, it is challenging to identify indicative words for the relation prediction. Recent advances on RE task are from BERT-based sequence modeling and graph-based modeling of relationships among the tokens in the sequence. In this paper, we propose to construct a latent multi-view graph to capture various possible relationships among tokens. We then refine this graph to select important words for relation prediction. Finally, the

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Stuckert, Jonathan D. "Forgive our presumption: a difficult reading of Matthew 23:1-3." Perichoresis 16, no. 3 (2018): 3–15. http://dx.doi.org/10.2478/perc-2018-0013.

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Abstract In Matthew 23:1-3, Jesus commands His disciples and the crowd to listen to the scribes and Pharisees even while not imitating their actions. Many modern interpreters have lessened the force of Matthew 23:1-3 by an assumption of irony on the part of Jesus. We presume that God could never ordain this for His people. However, this easier reading may not be the best reading. A more straightforward interpretation, but one that is difficult to hear, suggests that at times we may need to sit under bad leadership as means of receiving God’s Word. Pre-critical and modern interpreters provide a

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Nedelcheva, Svetlana. "Skunked Terms as Part of Language Evolvement." CULTURAL PERSPECTIVES - JOURNAL FOR LITERARY AND BRITISH CULTURAL STUDIES IN ROMANIA 29 (November 1, 2024): 179–206. http://dx.doi.org/10.29081/cp.2024.29.09.

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The present article focuses on the process of language change and more specifically the evolvement of word meaning through the so-called skunked words. The term was coined by Bryan A. Garner, a lexicographer who uses it to refer to words that have developed new meanings, which have become so controversial that they are best avoided in writing and speech due to the risk of being misunderstood. This phenomenon poses significant challenges for linguists, lexicographers, and language users alike. In this research, we observe skunked words through the lens of corpus linguistics, aiming to shed ligh

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Yeo, George SH, and May Li Lim. "Maternal and Fetal Best Interests in Day-to-Day Obstetrics." Annals of the Academy of Medicine, Singapore 40, no. 1 (2011): 43–49. http://dx.doi.org/10.47102/annals-acadmedsg.v40n1p43.

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In medicine, it is the physician’s obligation to promote and protect the patient’s interest. In obstetrics, the ethical principles of beneficence and autonomy provide the fundamental framework which guides the management of all pregnant patients. As there is the need for consideration of the fetus, autonomy can become a complex issue giving rise to what is sometimes called “maternal-fetal conflict.” In this paper, we aim to discuss some scenarios we encounter in our day-to-day obstetric practice such as pre-eclampsia, fetal growth restriction and labour induction when the best interests of the

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Shurykina, Lyudmila S., Ekaterina A. Latukhina, and Tatiana V. Petrova. "Using CNN and LSTM neural networks for Arkhangelsk dialect word identification and classification." Research Result. Theoretical and Applied Linguistics 10, no. 4 (2024): 106–25. https://doi.org/10.18413/2313-8912-2024-10-4-0-6.

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The study of dialects provides an opportunity to gain an understanding of the culture and history of a people, which are reflected in language. Dialectal vocabulary differs from standard vocabulary in terms of both meaning and pronunciation, as well as word formation and grammatical structures, primarily in morphology. Similar patterns can also be observed in the Arkhangelsk dialects. The aim of this paper is to develop a dialect words classifier, which can be used to identify dialect words within a given text and categorize them into one of the predefined groups. The novelty of this research

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Reyaz, Saika, Fozia Rehman, Shagufta Rather, and Sheikh Javeed Sultan. "Bardet–Biedl syndrome: Case report from a tertiary-care hospital in Srinagar, India." Our Dermatology Online 14, no. 1 (2023): 88–91. http://dx.doi.org/10.7241/ourd.20231.19.

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Bardet–Biedl syndrome (BBS) is a rare autosomal recessive ciliopathic disorder affecting multiple organ systems. The main clinical features are marked central obesity, retinal dystrophy, polydactyly, mental retardation, hypogonadism, and renal dysfunction. It affects both males and females. Herein, we report an interesting case of BBS with features of the BBS yet without cone-rod dystrophy, which is considered one of the hallmark features of this condition. To the best of our knowledge, this is the first report of Bardet–Biedl syndrome with the absence of cone-rod dystrophy and a normal fundus

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CHOLAKOV, KOSTADIN. "Lexical acquisition and semantic space models: Learning the semantics of unknown words." Natural Language Engineering 20, no. 4 (2013): 537–55. http://dx.doi.org/10.1017/s1351324913000053.

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AbstractIn recent studies it has been shown that syntax-based semantic space models outperform models in which the context is represented as a bag-of-words in several semantic analysis tasks. This has been generally attributed to the fact that syntax-based models employ corpora that are syntactically annotated by a parser and a computational grammar. However, if the corpora processed contain words which are unknown to the parser and the grammar, a syntax-based model may lose its advantage since the syntactic properties of such words are unavailable. On the other hand, bag-of-words models do no

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Finch, Robert D. "HUMANIST ETHOLOGY." Essays in the Philosophy of Humanism 17, no. 2 (2013): 43–66. http://dx.doi.org/10.1558/43-66.

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Ethology is the study of animal behavior and consequently includes the morals and ethics of the human animal. This essay concerns the question of how we might optimize our ethology in the broadest sense in order to live in the best possible way. Assuming we are nontheists then the question becomes how we might construct an ethology based on human reason and serving our human motivations or, in other words, a humanist ethology.

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RILOFF, ELLEN, and JESSICA SHEPHERD. "A corpus-based bootstrapping algorithm for Semi-Automated semantic lexicon construction." Natural Language Engineering 5, no. 2 (1999): 147–56. http://dx.doi.org/10.1017/s1351324999002235.

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Many applications need a lexicon that represents semantic information but acquiring lexical information is time consuming. We present a corpus-based bootstrapping algorithm that assists users in creating domain-specific semantic lexicons quickly. Our algorithm uses a representative text corpus for the domain and a small set of ‘seed words’ that belong to a semantic class of interest. The algorithm hypothesizes new words that are also likely to belong to the semantic class because they occur in the same contexts as the seed words. The best hypotheses are added to the seed word list dynamically,

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Raper, Peter E. "Another look at ‘Khoikhoi’ and related ethnonyms." Acta Academica: Critical views on society, culture and politics 43, no. 1 (2011): 109–29. https://doi.org/10.38140/aa.v43i1.1300.

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The nomadic pastoralists formerly called “Hottentots” are today known as the Khoikhoi, a term also encountered as Khoekhoe, often abbreviated as Khoe. The name, said to be derived from the words khoi (khoe) “person” and khoin (khoen) “people”, is variously interpreted as “people of people”, “the best people”, “people of pure race”, “excellent people”, “our people”, “people of our group”, among others. Early forms of the name indicate that the two components of the ethnonym are not identical, and that the first contains a click, thus casting doubt on the given interpretations. This article prop

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Yan, Bin, and Mingtao Pei. "Clinical-BERT: Vision-Language Pre-training for Radiograph Diagnosis and Reports Generation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 3 (2022): 2982–90. http://dx.doi.org/10.1609/aaai.v36i3.20204.

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In this paper, we propose a vision-language pre-training model, Clinical-BERT, for the medical domain, and devise three domain-specific tasks: Clinical Diagnosis (CD), Masked MeSH Modeling (MMM), Image-MeSH Matching (IMM), together with one general pre-training task: Masked Language Modeling (MLM), to pre-train the model. The CD task helps the model to learn medical domain knowledge by predicting disease from radiographs. Medical Subject Headings (MeSH) words are important semantic components in radiograph reports, and the MMM task helps the model focus on the prediction of MeSH words. The IMM

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Perikos, Isidoros, and Spyro Souli. "Natural Language Inference with Transformer Ensembles and Explainability Techniques." Electronics 13, no. 19 (2024): 3876. http://dx.doi.org/10.3390/electronics13193876.

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Natural language inference (NLI) is a fundamental and quite challenging task in natural language processing, requiring efficient methods that are able to determine whether given hypotheses derive from given premises. In this paper, we apply explainability techniques to natural-language-inference methods as a means to illustrate the decision-making procedure of its methods. First, we investigate the performance and generalization capabilities of several transformer-based models, including BERT, ALBERT, RoBERTa, and DeBERTa, across widely used datasets like SNLI, GLUE Benchmark, and ANLI. Then,

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Fernández-Martínez, Fernando, Cristina Luna-Jiménez, Ricardo Kleinlein, David Griol, Zoraida Callejas, and Juan Manuel Montero. "Fine-Tuning BERT Models for Intent Recognition Using a Frequency Cut-Off Strategy for Domain-Specific Vocabulary Extension." Applied Sciences 12, no. 3 (2022): 1610. http://dx.doi.org/10.3390/app12031610.

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Intent recognition is a key component of any task-oriented conversational system. The intent recognizer can be used first to classify the user’s utterance into one of several predefined classes (intents) that help to understand the user’s current goal. Then, the most adequate response can be provided accordingly. Intent recognizers also often appear as a form of joint models for performing the natural language understanding and dialog management tasks together as a single process, thus simplifying the set of problems that a conversational system must solve. This happens to be especially true f

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Gavrilova, I. A., Y. V. Kudryavtseva, and I. A. Lekomtseva. "Our experience with toric intraocular lenses implantation." Reflection, no. 1 (September 20, 2023): 20–23. http://dx.doi.org/10.25276/2686-6986-2023-1-20-23.

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Рurpose. To analyze the results of cataract phacoemulsification with implantation of toric intraocular lenses. Methods. We conducted a retrospective analysis of the results of cataract phacoemulsification with concomitant regular corneal astigmatism of 1.5 D or more. 32 patients (42 eyes) were implanted with toric intraocular lenses: 11 MX 60T lenses (BAUSCH+LOMB) and 31 Torica aAY lenses (HumanOptics). Results. Intraocular lens rotation less than 5 ° was recorded in 40 eyes (95.2 %). In 2 patients, the deviation of Torica aAY lenses was 10–15 °, which required their surgical reposition. All p

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Burton, Allen W. "Urine Drug Testing: Current Recommendations and Best Practices." July 2012 3S;15, no. 3S;7 (2012): ES119—ES133. http://dx.doi.org/10.36076/ppj.2012/15/es119.

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Background: The precise role of urine drug testing (UDT) in the practice of pain medicine is currently being defined. Confusion exists as to best practices, and even to what constitutes standard of care. A member survey by our state pain society revealed variability in practice and a lack of consensus. Objective: The authors sought to further clarify the importance of routine UDT as an important part of an overall treatment plan that includes chronic opioid prescribing. Further, we wish to clarify best practices based on consensus and data where available. Methods: A 20-item membership survey

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