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Academic literature on the topic 'Daily Use Sentences'

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Published: 26 July 2024
Last updated: 27 July 2024

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Journal articles on the topic "Daily Use Sentences"

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Gong, Shuai, Zhenfang Zhu, Jiangtao Qi, Chunling Tong, Qiang Lu, and Wenqing Wu. "Improving extractive document summarization with sentence centrality." PLOS ONE 17, no. 7 (July 22, 2022): e0268278. http://dx.doi.org/10.1371/journal.pone.0268278.

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Extractive document summarization (EDS) is usually seen as a sequence labeling task, which extracts sentences from a document one by one to form a summary. However, extracting sentences separately ignores the relationship between the sentences and documents. One solution is to use sentence position information to enhance sentence representation, but this will cause the sentence-leading bias problem, especially in news datasets. In this paper, we propose a novel sentence centrality for the EDS task to address these two problems. The sentence centrality is based on directed graphs, while reflecting the sentence-document relationship, it also reflects the sentence position information in the document. We implicitly strengthen the relevance of sentences and documents by using sentence centrality to enhance sentence representation. Notably, we replaced the sentence position information with sentence centrality to reduce sentence-leading bias without causing model performance degradation. Experiments on the CNN/Daily Mail dataset showed that EDS models with sentence centrality significantly improved compared with baseline models.
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Chen, Yuan. "Is Cantonese lexical tone information important for sentence recognition accuracy in quiet and in noise?" PLOS ONE 17, no. 10 (October 25, 2022): e0276254. http://dx.doi.org/10.1371/journal.pone.0276254.

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In Chinese languages, tones are used to express the lexical meaning of words. It is therefore important to analyze the role of lexical tone in Chinese sentence recognition accuracy. There is a lack of research on the role of Cantonese lexical tones in sentence recognition accuracy. Therefore, this study examined the contribution of lexical tone information to Cantonese sentence recognition accuracy and its cognitive correlates in adults with normal hearing (NH). A text-to-speech synthesis engine was used to synthesize Cantonese daily-use sentences with each word carrying an original or a flat lexical tone, which were then presented to 97 participants in quiet, in speech-shaped noise (SSN), and in two-talker babble (TTB) noise conditions. Both target sentences and noises were presented at 65 dB binaurally via insert headphones. It was found that listeners with NH can almost perfectly recognize a daily-use Cantonese sentence with mismatched lexical tone information in quiet, while their sentence recognition decreases substantially in noise. The same finding was reported for Mandarin, which has a relatively simple tonal system, suggesting that the current results may be applicable to other tonal languages. In addition, working memory (WM) was significantly related to decline in sentence recognition score in the TTB but not in the SSN, when the lexical tones were mismatched. This finding can be explained using the Ease of Language Understanding model and suggests that those with higher WM are less likely to be affected by the degraded lexical information for perceiving daily-use sentences in the TTB.
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Tasyrifin, Tasyrifin, and Usman Usman. "ANALISIS KELENGKAPAN UNSUR DAN POLA PENALARAN PARAGRAF PADA BERITA UTAMA SURAT KABAR HARIAN KOMPAS." INDONESIA: Jurnal Pembelajaran Bahasa dan Sastra Indonesia 1, no. 3 (February 15, 2021): 186. http://dx.doi.org/10.26858/indonesia.v1i3.15193.

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Analysis of the Completeness of the Paragraph Reasoning Elements and Reasoning Patterns in the Headlines of Kompas Daily Newspapers. This study aims to determine the completeness of the elements and paragraph reasoning patterns in Kompas daily headlines. This type of research is a qualitative descriptive study. The data source of this research is Kompas daily newspaper. The results showed that the elements of the paragraphs used in Kompas daily headlines were the main sentence elements, explanatory sentences, affirmative sentences, and transitions, and used deductive, inductive, and mixed paragraph reasoning patterns. The paragraph elements used in Kompas daily headlines are complete and there are all patterns of reasoning in his writings, although more often use deductive patterns.
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Amral, Sainil, and Briando Tumanggor. "IMPLIKATUR PADA WACANA ARGUMENTATIF DALAM SURAT PEMBACA HARIAN KOMPAS.COM EDISI AGUSTUS–SEPTEMBER 2021 (Kajian Analisis Wacana)." Aksara: Jurnal Ilmiah Pendidikan Bahasa dan Sastra Indonesia 7, no. 1 (May 18, 2023): 118. http://dx.doi.org/10.33087/aksara.v7i1.500.

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The purpose of this study is to describe the use of Implicature in Argumentative Discourse in Kompas.com Daily Reader Letter. This research is descriptive qualitative research. The primary data in this research is in the form of quotations containing implicature contained in the reader's letter of Kompas.com daily. The result of this research can be concluded that there are 88 data quotations that contain implicature. Based on the 88 quotations, there are four forms of implied declarative sentences, interrogative sentences, imperative sentences, and explicative sentences. The distribution of the data presents 18 data are declarative sentence implicatures, 15 data are interrogative sentences, 7 data are imperative sentences, and 4 data are exclamative sentences. In terms of intent, there are three implicature intentions in the form of sentences meaning appeal, sentences meaning insinuation or prohibition, and sentences meaning warning. The distribution of the data presents as many as 13 data are sentences meaning appeal, 22 data mean insinuation or prohibition, and 9 data mean warning. Based on the results of the analysis, the implicature in the form of declarative sentences is the most found, and exclamative sentences are rarely found. In terms of intent, the meaning of sarcasm or prohibition is the most common, while the meaning of warning is the least common.
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Ratnasari*, Dian, and Afrinar Pramitasari. "Konstruksi Sintaksis Tajuk Rencana Harian "Suara Merdeka" Edisi Desember 2021-Januari 2022." Dinamika 5, no. 2 (August 28, 2022): 69. http://dx.doi.org/10.35194/jd.v5i2.2408.

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This article will describe syntactic construction errors in the editorial of the daily “Suara Merdeka” edition from December 2021 to January 2022. The type of research used is qualitative research. The research data is in the form of sentences in the editorial which contain syntactic construction errors at the phrase and sentence level. Data collection techniques used are reading techniques and note-taking techniques. The results showed that 92.8% of the sentences in the daily editorial were in accordance with the syntactic construction. However, 7.2% of them still found that the syntactic construction was wrong at the phrase and sentence level. Phrasal level syntactic construction errors were found due to redundant meaning, while sentence level syntactic construction errors included (1) unsubjected sentences (2) excessive use of conjunctions, (3) ambiguous sentences, (4) redundant use of words, (5) use of terms. foreign, (6) sentence logic.ABSTRAK Artikel ini akan mendeskripsikan kesalahan konstruksi sintaksis pada tajuk rencana harian “Suara Merdeka” edisi Desember 2021 sampai dengan Januari 2022. Jenis penelitian yang digunakan adalah penelitian kualitatif. Data penelitian berupa kalimat dalam tajuk rencana yang terdapat kesalahan konstruksi sintaksis tataran frasa dan kalimat. Teknik pengumpulan data yang digunakan adalah teknik baca dan teknik catat. Hasil penelitian menunjukkan bahwa 92,8% kalimat dalam tajuk rencana harian itu sudah sesuai dengan konstruksi sintaksis. Akan tetapi masih ditemukan 7,2% yang konstruksi sintaksisnya salah pada tataran frasa dan tataran kalimat. Kesalahan konstruksi sintaksis tataran frasa yang ditemukan karena makna redundan, sedangkan kesalahan konstruksi sintaksis tataran kalimat meliputi (1) kalimat tidak bersubjek (2) penggunaan konjungsi yang berlebihan, (3) kalimat ambigu, (4) penggunaan kata mubazir, (5) penggunaan istilah asing, (6) logika kalimat.Kata kunci: konstruksi sintaksis; tajuk rencana; Suara Merdeka
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Napratilora, Martina, and Seri Yanti Siagian. "TENSES UNDERSTANDING IN USING THE ENGLISH LANGUAGE." ENGLISH JOURNAL OF INDRAGIRI 3, no. 1 (February 17, 2019): 29–38. http://dx.doi.org/10.32520/eji.v3i1.466.

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Language is one of the tools for communicating. English is one of the languages that are used to communicate. Mastering simple present tense is able to make English communicating run well, effectively, and clearly. Using the English language to communicate in daily life should comprehend about simple present tense because this tense more often to be used than other tenses for daily communication. This paper will explain how to make sentences using simple present and how to use simple present in communicating. Simple present tense refers to something happened in present time. The students will be easy to understand and use tense by knowing who the subject in the sentence is, knowing the sentence kinds, and knowing the sentence form.
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Lanteigne, Betty. "Unscrambling jumbled sentences: An authentic task for English language assessment?" Studies in Second Language Learning and Teaching 7, no. 2 (June 30, 2017): 251–73. http://dx.doi.org/10.14746/ssllt.2017.7.2.5.

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Jumbled sentence items in language assessment have been criticized by some authors as inauthentic. However, unscrambling jumbled sentences is a common occurrence in real-world communication in English as a lingua franca. Naturalistic inquiry identified 54 instances of jumbled sentence use in daily life in Dubai/Sharjah, where English is widely used as a lingua franca. Thus it is seen that jumbled sentence test items can reflect real-world language use. To evaluate scrambled sentence test items, eight test item types developed from one jumbled sentence instance (“Want taxi Dubai you?”) were analyzed in terms of interactivity and authenticity. Items ranged from being completely decontextualized, non-interactive, and inauthentic to being fully contextualized, interactive, and authentic. To determine appropriate assessment standards for English tests in schools in this region, the English language standards for schools and English language requirements for university admission in the UAE were analyzed. Schools in Dubai/Sharjah use Inner Circle English varieties of English (e.g., British or American English) as the standard for evaluation, as well as non-native-English-speaker varieties (e.g., Indian English(es)). Also, students applying to English-medium universities in the UAE must meet the required scores on standardized English tests including the IELTS and TOEFL. Standards for evaluation of communication in English involving tasks of jumbled sentences in classroom tests must reflect the language learning goals of the school and community. Thus standards for classroom assessment of English in Dubai/Sharjah are determined by local schools’ and universities’ policies.
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Matay, S., and G. Alikhan. "EXPLORING A FEW PROBLEMS ENCOUNTERED BY KAZAKH STUDENTS IN LEARNING CHINESE SPECIAL QUESTIONS." BULLETIN Series of Philological Sciences 74, no. 4 (December 9, 2020): 432–40. http://dx.doi.org/10.51889/2020-4.1728-7804.87.

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In view of the unsolved problems arising in the process of learning the Chinese language in Kazakhstan, especially the most important part of studying the structure of sentences in the language, that is, the most difficult part for students who are familiar with Chinese grammar. After several years of teaching experience, students seem to have mastered the special interrogative sentences and written and oral use that often appear in life. To further increase the effectiveness of teaching in the future educational process and reduce the number of unnecessary mistakes in the sentence and the process of speech, students decided to conduct research and control their daily work. It was analyzed that the mistakes are often done by students when doing exercises and explain the reasons.
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Pambayun, Kumaralalitya Wisnu, and Agus Subiyanto. "MORPHOSYNTACTIC ABILITIES IN CHILD WITH INTELECTUAL DISABILITIES: A CASE STUDY." Lire Journal (Journal of Linguistics and Literature) 7, no. 1 (March 7, 2023): 72–86. http://dx.doi.org/10.33019/lire.v7i1.191.

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This research is a case study on the ability of children with intellectual disabilities in morphosyntax abilities. It is well-known that the language skills of children with intellectual disabilities do not compare with those of other normal children, where they will have language delays and even language disorders. The subject of this study was KH, a 12-year-old child with mild intellectual disability, before doing speech therapy was only able to say one or two words. After 30 speech therapy sessions, the researcher wanted to know the morphological ability in the use of affixes when speaking and the syntax abilities in the use of phrases and the use of sentence types. The methods used in collecting data were observation and interview. Researchers also used fishing techniques with flashcards and were asked to tell the daily activities of KH. The results of this study show that after 30 times of speech therapy, KH is able to use affixation and is able to use simple sentences and complex sentences when communicating
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Sembiring, Milisi, Risnawaty Risnawaty, Roswani Siregar, Yulia Arfanti, and Ceisy Nita Wuntu. "Translating Imperative Sentences from English into Indonesian: COVID-19 Outbreak Text." Arab World English Journal For Translation and Literary Studies 5, no. 4 (October 15, 2021): 162–71. http://dx.doi.org/10.24093/awejtls/vol5no4.12.

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The imperative sentences in the source language are categorized as imperative instructions. World health organization instructs the general population not to over-take information when reading or searching for information about Corona Virus Disease 2019 because it affects our mentality. It also instructs to avoid using unhelpful coping strategies. The imperative structure rules for English and Indonesian are different. This paper aims to explore the translation techniques used in translating imperative sentences in the ‘Mental health and psychosocial considerations during the COVID-19 outbreak’ text into Indonesian. The authors use Molina and Albir’s (2002) translation techniques. Data collection is done by taking twenty-three the imperatives in the source language of thirty imperative sentences in the text. The imperative sentences in the SL which have infinitive verbs without to are followed by a noun, verb-ing, past participle, adjective, and second person reflexive pronoun. It is found the suffix -lah to emphasize the verb in the TL. Twenty-two data consist of positive imperative sentences and one negative imperative sentence. The results show that from the twenty-three data, the authors found that there were six translation techniques used by the authors as the translators, namely: compensation, establish equivalent, reduction, transposition, literal, and modulation. The authors used literal translation mostly, and it is done because the starting point of the imperative sentences are at the initial of the sentence and they are readable in the TL. The imperative is the starting of meaning for the source language and the target language. The readers are more acceptable to understand the context of the text. They are expected to implement the instructions in their daily lives.
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Books on the topic "Daily Use Sentences"

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Speak Spanish: Typical Spanish Way of Saying and Sentences to Use in Your Daily Life and Speak Like a Native. Includes Cultural Habits and Tips on How to Behave in Different Situations. Independently Published, 2020.

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Institute, Dupont Language. French Short Stories : 3 Books in 1: Learn to Speak French Fluently in a Fun and Easy Way with Short Stories and Typical Way of Saying and Sentences to Use in Your Daily Life. Independently Published, 2020.

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Institute, Fernández Language. Spanish Short Stories : 3 Books in 1: Learn to Speak Spanish Fluently in a Fun and Easy Way with Short Stories and Typical Way of Saying and Sentences to Use in Your Daily Life. Independently Published, 2020.

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Tata, Cyrus, and Jay M. Gormley. Sentencing and Plea Bargaining. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199935383.013.40.

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In the daily work of criminal justice, the relationship between plea decision-making and sentencing is important. Meanwhile in the academic and policy literatures, it is one of the most controversial. This essay appraises the international empirical literature and the moral arguments surrounding this plea-dependent (guilty/not guilty) “sentence differential.” Sentence differential is the morally neutral term used here to denote practices variously termed as “sentence discount,” “trial tax/penalty,” “guilty plea discount/reduction,” and “sentence bargain/negotiation.” Section II analyzes whether the sentence differential undermines the presumption of innocence. Section III investigates whether the sentence differential violates legal equality. Section IV assesses the three main justifications for the differential. Section V scrutinizes measurement of the sentence differential. Section VI proposes an agenda for future research, including the need for deeper research into the experiences of and interpretations by defendants of the justice process.
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Borch, Fred L. Criminal Group Responsibility. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198777168.003.0009.

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During the Japanese occupation, the widespread and almost daily commission of war crimes by members of the Tokkeitai and Kempeitai resulted in a unique post-World War II approach to the prosecution of war crimes: If a war crime was committed within the framework of the activities of a group of persons in such a way that the crime could be ascribed to the group as a whole, then the crime was considered to have been committed by the group, and criminal proceedings could be taken against and sentences passed on all members of the group. This was a unique approach to the prosecution of war crimes; no other nation has ever used such a group criminal liability theory. This chapter examines the concept by looking at prosecutions involving the Japanese naval police (Tokkeitai) and military police (Kempeitai) and the 25th Army.
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Book chapters on the topic "Daily Use Sentences"

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Stein, Gabriele. "How Things were Done with Words." In John Palsgrave as Renaissance Linguist, 339–85. Oxford University PressOxford, 1997. http://dx.doi.org/10.1093/oso/9780198235057.003.0009.

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Abstract The examples used by Palsgrave in his table of verbs tell us much about sixteenth-century life as well as language use. When reading the table of verbs we cannot but feel transposed into a Renaissance society, with its people, their daily preoccupations, their beliefs, their worries, their pastimes. The picture provided by Palsgrave is so immensely rich and colourful that here we shall be able to get only some selective glimpses. We shall focus on the example sentences together with Palsgrave’s metalinguistic comments on language use. Occasionally, the whole dictionary entry may be taken into account. References to the grammar and the tables of the other parts of speech may complement the insights gained from the verb illustrations.
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Myerson, Joel. "A. Bronson Alcott, from Conversations with Children on the Gospels (1836-1837)." In Transcendentalism, 181–94. Oxford University PressNew York, NY, 2000. http://dx.doi.org/10.1093/oso/9780195122121.003.0012.

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Abstract ALCOTT WAS HOPEFUL THAT Conversations would go beyond the Record in helping set forth his educational goals and practices but, instead, its publication resulted in abuse being heaped upon him and parents withdrew their students from the Temple School (and even more did so after he admitted an African-American student). Elizabeth Peabody tried to warn him that much of what he was discussing with the students could be controversial—indeed there are footnotes to the book that she asked to be added so that her role in recording the conversations could be clarified—but Alcott’s response was to shift the potentially damaging material from the main text to a single series of notes at the end where they could be found and studied-and upset people—with ease. An even more selective use of the offending sentences was made when newspapers cited them in their reviews; Andrews Norton was quoted (without his name being mentioned) as saying of the book that onethird was absurd, one-third blasphemous, and one-third obscene. Emerson was so disturbed by the tarring of Alcott by selective quotation that he wrote to the Boston Daily Courier to argue “Let it be read,” noting that any “reasonable man will perceive that fragments out of a new theory of Christian instruction, are not quite in the best place for examination, betwixt the price current and the shipping list.”
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Wiener, Harvey S. "Words and Pictures : Using Visual Aids." In Any Child Can Read Better. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195102185.003.0010.

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I want you to expand your definition of reading. Most people define the word literally: Reading is determining meaning from printed words and sentences. But I believe that that's too limited a definition. We're always trying to "read" meanings from our physical environments, even when no print is involved. (It's interesting to note the legitimate, though certainly metaphorical, use of the word read for actions beyond a page of text.) The point to remember here is that the same skills that we use for a printed page we often apply to nonprint experiences as well. Thus when you try to "read" any situation, you aim to extract meaning from it. However, the connection between reading print and reading the surrounding world is more than a metaphorical one. The roster of skills in the table of contents for this book, Any Child Can Read Better—figuring out the main point, inferring, predicting outcomes, generalizing— are the intellectual processes we use almost everywhere to decipher meanings throughout the day. As I explain those skills and how to help your son or daughter use them, I'll be showing you the connections you can make between print and nonprint situations. You'll be able to help your child apply to words on a page some of the same mental activities that she draws on to interpret her daily life. When your child sees a group of youngsters waiting at the school bus, or when she watches an episode of Captain Kangaroo, or when she looks at a photograph or a cartoon or an advertisement—as soon as she tries to figure out what's going on, she's reading. Shakespeare reminds us that all the world's a stage; but it's also a book. As you know, I've been making frequent connections all along between the print world and the world of nonprint experiences that your child tries to read (that word again!) each day. In this chapter I want to concentrate on some of the representational forms that youngsters meet regularly in their lives. By representational I mean all those elements that stand for, or represent, experience.
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Gleitman, Lila R., Ann Senghas, Molly Flaherty, Marie Coppola, and Susan Goldin-Meadow. "The Emergence of the Formal Category “Symmetry” in a New Sign Language." In Sentence First, Arguments Afterward, 790–808. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780199828098.003.0022.

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Logical properties such as negation, implication, and symmetry, despite the fact that they are foundational and threaded through the vocabulary and syntax of known natural languages, pose a special problem for language learning. Their meanings are much harder to identify and isolate in the child’s everyday interaction with referents in the world than concrete things (like spoons and horses) and happenings and acts (like running and jumping) that are much more easily identified, and thus more easily linked to their linguistic labels (spoon, horse, run, jump). Here we concentrate attention on the category of symmetry [a relation R is symmetrical if and only if (iff) for all x, y: if R(x,y), then R(y,x)], expressed in English by such terms as similar, marry, cousin, and near. After a brief introduction to how symmetry is expressed in English and other well-studied languages, we discuss the appearance and maturation of this category in Nicaraguan Sign Language (NSL). NSL is an emerging language used as the primary, daily means of communication among a population of deaf individuals who could not acquire the surrounding spoken language because they could not hear it, and who were not exposed to a preexisting sign language because there was none available in their community. Remarkably, these individuals treat symmetry, in both semantic and syntactic regards, much as do learners exposed to a previously established language. These findings point to deep human biases in the structures underpinning and constituting human language.
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Settle, Louise. "Reforming the ‘Fallen’: Voluntary Organisations, Probation and the Informal Regulation of Prostitution." In Sex for Sale in Scotland. Edinburgh University Press, 2016. http://dx.doi.org/10.3366/edinburgh/9781474400008.003.0004.

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This chapter focus on the informal regulation of prostitution by examining the role of religious voluntary organisations in ‘rescuing fallen women’. Instead of punishing women who were caught soliciting by sending them to prison, the police and magistrates often turned to probation and voluntary organisations in an attempt to rehabilitate these women using a more penal welfare approach. The first half of this chapter will outline the ways in which probation sentences were used to police women who committed prostitution offences and examine the close links that existed between the new probation service and voluntary institutions. The second section will look more closely at the daily activities of these voluntary organisations, focusing particularly on the Magdalene Asylums, the Scottish National Vigilance Association (SNVA) and the Women Patrols. These case studies explore the ideologies, aims and methods of these organisation and how the daily routines and experiences of the ‘inmates ‘changed during the period. These case studies will allow us to examine how the collaborations that were established between these voluntary organisations, the police and the probation service influenced the regulation of prostitution and women’s experiences of the criminal justice system.
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Nagaraj, Nagendra, and Chandra J. "Sentence Classification using Machine Learning with Term Frequency–Inverse Document Frequency with N-Gram." In New Frontiers in Communication and Intelligent Systems, 337–46. Soft Computing Research Society, 2021. http://dx.doi.org/10.52458/978-81-95502-00-4-35.

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Automatic text classification has proven to be a vital method for managing and processing a very large text area—the volume of digital materials that is spreading and growing on a daily basis. In general, text plays an important role in classifying, extracting, and summarizing information, searching for text, and answering questions. This paper demonstrates machine learning techniques are used for the text classification process..And also, with the vast rapid growth of text analysis in all areas, the demand for automatic text classification has widely improved by day by day. The pattern of text classification has been the subject of a lot of research and development works in recent times of natural language processing is a field that entails a lot of work. This paper represents a text classification technique using the term frequency-inverse document frequency and N-Gram. Also compared the performances of a different model. The recommended model is adopted with four different algorithms and compared with generated results from the algorithms. The linear support vector machine is most relevant to this work with our proposed model. The final result shows a significant accuracy compared with earlier methods.
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Zerrouki, Kadda. "Machine Learning in Sentiment Analysis Over Twitter." In Advanced Deep Learning Applications in Big Data Analytics, 126–44. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2791-7.ch007.

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Social networks are the main resources to gather information about people's opinions and sentiments towards different topics as they spend hours daily on social media and share their opinions. Twitter is a platform widely used by people to express their opinions and display sentiments on different occasions. Sentiment analysis's (SA) task is to label people's opinions as different categories such as positive and negative from a given piece of text. Another task is to decide whether a given text is subjective, expressing the writer's opinions, or objective. These tasks were performed at different levels of analysis ranging from the document level to the sentence and phrase level. Another task is aspect extraction, which originated from aspect-based sentiment analysis in phrase level. All these tasks are under the umbrella of SA. In recent years, a large number of methods, techniques, and enhancements have been proposed for the problem of SA in different tasks at different levels. Sentiment analysis is an approach to analyze data and retrieve sentiment that it embodies. Twitter sentiment analysis is an application of sentiment analysis on data from Twitter (tweets) in order to extract sentiments conveyed by the user. In the past decades, the research in this field has consistently grown. The reason behind this is the challenging format of the tweets, which makes the processing difficult. The tweet format is very small, which generates a whole new dimension of problems like use of slang, abbreviations, etc. The chapter elaborately discusses three supervised machine learning algorithms—naïve Bayes, k-nearest neighbor (KNN), and decision tree—and compares their overall accuracy, precisions, as well as recall values; f-measure; number of tweets correctly classified; number of tweets incorrectly classified; and execution time.
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Zerrouki, Kadda. "Machine Learning in Sentiment Analysis Over Twitter." In Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines, 902–17. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-6303-1.ch048.

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Social networks are the main resources to gather information about people's opinions and sentiments towards different topics as they spend hours daily on social media and share their opinions. Twitter is a platform widely used by people to express their opinions and display sentiments on different occasions. Sentiment analysis's (SA) task is to label people's opinions as different categories such as positive and negative from a given piece of text. Another task is to decide whether a given text is subjective, expressing the writer's opinions, or objective. These tasks were performed at different levels of analysis ranging from the document level to the sentence and phrase level. Another task is aspect extraction, which originated from aspect-based sentiment analysis in phrase level. All these tasks are under the umbrella of SA. In recent years, a large number of methods, techniques, and enhancements have been proposed for the problem of SA in different tasks at different levels. Sentiment analysis is an approach to analyze data and retrieve sentiment that it embodies. Twitter sentiment analysis is an application of sentiment analysis on data from Twitter (tweets) in order to extract sentiments conveyed by the user. In the past decades, the research in this field has consistently grown. The reason behind this is the challenging format of the tweets, which makes the processing difficult. The tweet format is very small, which generates a whole new dimension of problems like use of slang, abbreviations, etc. The chapter elaborately discusses three supervised machine learning algorithms—naïve Bayes, k-nearest neighbor (KNN), and decision tree—and compares their overall accuracy, precisions, as well as recall values; f-measure; number of tweets correctly classified; number of tweets incorrectly classified; and execution time.
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"Figure 2.8: numbered format of extract 2 1 This is not a battle between the freedom of religion 2 and the freedom of the press; 3 two freedoms which we treasure greatly. 4 This is rather a battle of right and wrong. 5 Has the Daily Mail infringed the plaintiff’s right to a good, clean reputation, 6 or has the plaintiff Mr Orme in all the circumstances no right to any reputation at all in this case because of what he and his organisation have done and do? 7 Was the Daily Mail wrong about its allegations in its article? 8 Was it wrong about its allegations during this case? 9 Or was the plaintiff wrong; 10 was the plaintiff giving a false picture? 11 That is what it is, members of the jury, not a battle between freedom of the press and freedom of religion, 12 but a battle of right and wrong. Looking at Figure 2.8, above, the first two and last two sentences of the extract (lines 1, 2, 11 and 12) form a ‘sandwich’ comprising repetition of the main assertion that the case is not a battle between freedom of the press and freedom of religion. It is as if he is saying that the argument is so because ‘I say so, twice!’. Another example of repetition is found in the structure of the run of three rhetorical questions, both in terms of length and the use of amplification through alliteration: ‘was juxtaposed with wrong’ in lines 7, 8 and 9. The structure of the extract also demonstrates that the judge has the authority to impose that reading of events. For he says, in line 11, ‘This is what it is, members of the jury’. Who is the ‘we’ found in line 3? (a) Is it the royal ‘we’, symbolising the ultimate authority of the court? (b) Is it merely the judge? (c) Does it include judge and jury? ‘We’ is undeniably an inclusive term. It is suggested that, in this instance, the judge is talking in relation to the court and the law, as an official spokesman of the law. The choice of the word ‘battle’, as part of what turns out to be a continuing war metaphor which runs throughout the entire summing up, as a major organising theme that argument is war, is interesting. The word ‘fight’ or ‘skirmish’ is not chosen, but ‘battle’. The reference to battle puts the case ‘high up’ in a hierarchy of modes of physical fighting—for example skirmish, scrap, fight, battle. Battle denotes that opposing armies gather together with their greatest degree of strength to fight for as long as it takes for a clear victor. Of course, it is not unusual to find ‘fighting’ metaphors used to describe English trials. Because of their accusatorial nature (‘He did it judge.’ ‘No, he did it judge.’). Early in the history of English dispute resolution, trial by battle (a physical fight) was used to determine guilt and innocence as a perfectly acceptable alternative to trial by law." In Legal Method and Reasoning, 39. Routledge-Cavendish, 2012. http://dx.doi.org/10.4324/9781843145103-26.

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"language is drawn from a range of sources (see Figures 2.4 and 2.5, above) and given a new target domain. But it is the hearer/reader who makes the ultimate connections. That such language is used in politics is not surprising. Politicians seek to persuade by all means possible and, as Aristotle remarked, persuasive language is used to effect by the introduction of figurative language. Such language is only one aspect of rhetoric, but, as this extract demonstrates, it is a powerful aspect. Lawyers and the judiciary will always state that emotional and poetic language has no place in the courtroom, in the language of law. Part of the rationale for this is that poetic and emotional language can exercise much power and in matters of innocence and guilt it is surely more just to rely on rationality not emotion. This view can be particularly traced back to the insistence by Francis Bacon who, in the 17th century, insisted that law must be seen to have an objective, scientific, rational methodology. However, it is impossible for there to be a pure science of law given its necessary reliance on language, and the imprecision of language. Therefore, often it is the appeal to the rational neutrality of the science of legal decision making that is misleading. Figurative language is often used in the courtroom despite the view that it is inappropriate, as extracts 2 and 3 illustrate (in Figures 2.7 and 2.9, below, respectively). 2.5.2.2 Extracts 2 and 3: Lord Justice Comyn in Orme v Associated Newspapers Group Inc (1981) Figure 2.7: extract 2—Lord Justice Comyn summing up in Orme v Associated Newspapers Group Inc (1981) (This case was a defamation case involving membership of the Unification Church. Orme is the UK Director of the church.) This is not a battle between the freedom of religion and the freedom of the press; two freedoms which we treasure greatly. This is rather a battle of right and wrong. Has the Daily Mail infringed the plaintiff’s right to a good, clean reputation, or has the plaintiff Mr Orme in all the circumstances no right to any reputation at all in this case because of what he and his organisation have done and do? Was the Daily Mail wrong about its allegations in its article? Was it wrong about its allegations during this case? Or was the plaintiff wrong; was the plaintiff giving a false picture? That is what it is, members of the jury, not a battle between freedom of the press and freedom of religion, but a battle of right and wrong. This extract is useful as an illustration of language techniques, repetition, figurative language (particularly, metaphor) in action; as well providing the basis for a necessarily limited discussion of what the function of these techniques may be. It is set out again below, with phrases and sentences numbered for discussion purposes." In Legal Method and Reasoning, 38. Routledge-Cavendish, 2012. http://dx.doi.org/10.4324/9781843145103-25.

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Conference papers on the topic "Daily Use Sentences"

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Miyanishi, Taiki, Jun-ichiro Hirayama, Atsunori Kanemura, and Motoaki Kawanabe. "Answering Mixed Type Questions about Daily Living Episodes." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/593.

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We propose a physical-world question-answering (QA) method, where the system answers a text question about the physical world by searching a given sequence of sentences about daily-life episodes. To address various information needs in a physical world situation, the physical-world QA methods have to generate mixed-type responses (e.g. word sequence, word set, number, and time as well as a single word) according to the content of questions, after reading physical-world event stories. Most existing methods only provide words or choose answers from multiple candidates. In this paper, we use multiple decoders to generate a mixed-type answer encoding daily episodes with a memory architecture that can capture short- and long-term event dependencies. Results using house-activity stories show that the use of multiple decoders with memory components is effective for answering various physical-world QA questions.
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TÜRK, Osman, and Fatma KOÇ. "DETERMINATION OF SIMPLE TIME NOTIFICATION (NEWS) MODES IN NURETTIN TOPÇU'S "ISLAM AND HUMAN MEVLANA AND MYSTICISM"." In III. International Research Congress ofContemporary Studiesin Social Sciences. Rimar Academy, 2021. http://dx.doi.org/10.47832/rimarcongress3-12.

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Language is the symbol of being a human. Language, which is the necessity of being a human, the development of thought and emotion, the indispensability of respect and love, is a legacy that nations have inherited from the past to the present and the future. It is a known fact that individuals speaking the same language have the same background, culture and values, that is, a common destiny. Language occurs by carrying the traces of a society. It clearly embodies the values and social elements, beliefs and traditions of our nation and plays an important role in conveying the above-mentioned things to future generations with the help of the language of which it is a part. News modes constitute the scope of this study. In the study, the predicates of the sentences used in Nurettin Topçu's work titled "Islam and Human Mevlana and Sufism" were determined and indicated according to the page and line numbers of the determined times. In the research, simple news moods (seen past tense, learned past tense, present tense, future tense, present tense) identified in the novel were examined. The page numbers and line numbers of the detected news modes are given. The frequency degrees of the modes we detected are also given. In this study, it is important to recognize the news moods in their daily lives and to use these moods in a healthy communication, in accordance with the grammatical structure of the language
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Vieira, Marcella Beghini Mendes, Marine Warmling, Emily Tainara Miranda Alves, and Lessandra Esper Abdala Gomes. "Quickly progressive insanity in emergency." In XIV Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/1516-3180.141s1.435.

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JP, 42 years old, female, previously healthy, brought for neurological evaluation with behavioral changes since May 2022, at the time, presented delusions of grandeur, persecution mania, disorganized thinking, mental confusion, being admitted to a psychiatric inpatient unit for clinical care. She was diagnosed with bipolar mood disorder and started treatment. At the time of hospital discharge, the family was instructed to investigate the condition with a neurologist, because the patient was lethargic, not very communicative, did not recognize family members, incontinent with the need to use diapers, rigid, accepting only creamy diet, anorexia and with symmetrical and gross hand tremor. In January 2023, he came to the hospital because, in addition to this clinical picture, he described a patient who started with a persistent, daily fever of 40 degrees in the week before the medical evaluation. She was emaciated, dehydrated, Glasgow 13, with myoclonus in all four limbs, drowsy with appendicular rigidity. She was hospitalized due to a condition suggestive of a rapidly progressive dementia, and underwent a series of tests, some of which included a tomography showing signs of dilation of the ventricular system without signs of hypertension, cerebrospinal fluid with increased cellularity and proteins, in addition to Venereal Disease Research Laboratory (VDRL) 1:1024, associated with a serum VDRL of 1:64. The others serologies were negative. Treatment was started with benzathine penicillin 2,400,000 IU per day for 21 days in hospital, adjustment of lithium and quetiapine and introduction of aripiprazole until adequate control of the associated psychiatric symptoms. In the following month, the patient was able to identify family members, form simple sentences and maintained a stable mood, although the other neurological symptoms remained, probably as definitive sequelae of neurosyphilis. Early diagnosis of possibly treatable dementia syndromes, such as neurosyphilis, is essential to minimize the risk of neurological sequelae.
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Alfarisi, O., R. Singh, R. Singhal, R. M. Alzarooni, S. Fernandes, Y. Ayvaz, M. Vijayan, and J. Mohamed. "The First Drilling Dedicated Artificial Intelligence ChatGPT Pilot." In GOTECH. SPE, 2024. http://dx.doi.org/10.2118/219337-ms.

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Abstract Can drillers extract insights from successful and challenging cases by writing one sentence? Today, the drillers either dig, for days or weeks, the mixed-structured data of the Daily Drilling Report (DDR), the structured drilling data, or both to extract knowledge about successful cases (e.g., a record rate of penetration) and challenging cases (e.g., stuck pipe and Non-Productive Time (NPT)). The objective is to have the drilling operations insights extracted with no time from the current and historical data reports. We propose a more efficient knowledge extraction of drilling operations in seconds or minutes by writing one sentence using the latest artificial intelligent Chat Generative Pretrained Transformer algorithm (ChatGPT). Therefore, we launched the first drilling dedicated ChatGPT pilot. ChatGPT has pretrained models; however, in this pilot, we enable ChatGPT to learn from our drilling data to provide specific answers to our challenges accurately and efficiently. The implementation method of ChatGPT requires multiple stages: (1) Data Loading/Downloading and Document Scanning, (3) Data Indexing, (4) ChatGPT Training, and (5) ChatGPT extraction of knowledge. Our drilling data is available in structured (tabulated), unstructured, and mix-structure formats; therefore, understanding the behavior of ChatGPT in these different formats and other training indexing and cognitive capabilities are some of the pilot targeted objectives. This novel pilot is the first in the oil industry to use ChatGPT, particularly in drilling. Its outcome determines ChatGPT's ability to ease drilling operations by providing insight and learning from historical success and challenging cases. This paper reveals the methods and tools to quickly deliver efficient and quality answers to drilling operations to the drilling engineers.
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Shi, Shuhui, Weitao You, Kaixin Han, Jinyu Song, and Lingyun Sun. "VariableTypography: Artificial Intelligence Augmented Reading Experience." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-114811.

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Abstract Nowadays, digital information has overloaded and reading time has been fragmented due to the significant development of digital devices, such as phones, computers, etc. Optimizing the reading experience has become a challenge. Prior studies on Chinese digital reading have primarily focused on uniform and consistent typography settings. Nevertheless, this standard typography is not applicable to real-world scenarios. Usually, people leverage different typographical variables to emphasize part of a sentence to highlight key information. Inspired by this, we propose a novel screen reading method, dubbed VariableTypography (VT), that highlights key information in various typographic ways by utilizes artificial intelligence tool ChatGPT to identify key information in the text, aiming to enhance the reading experience. In the field of artificial intelligence, significant progress has been made in natural language processing, resulting in innovative tools like ChatGPT. With its low operating threshold and the ability to use natural language for prompt engineering, ChatGPT has attracted widespread attention. In this study, we incorporated ChatGPT into a real-world reading scenario and integrated it with VT to examine its potential for assisted reading. To evaluate the effectiveness of VT, objective and subjective experiments were conducted in naturalistic remote settings with 70 participants using their smartphones in daily Interlude Reading scenarios. The results show that our proposed VT effectively improved readers’ subjective information acquisition while significantly reducing cognitive load during reading, without affecting the original reading efficiency. Additionally, VT is evidenced with good subjective acceptance. We hope that our findings will shed light on the field of digital Chinese readability.
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Mendula, Matteo, Silvia Gabrielli, Francesco Finazzi, Cecilia Dompe', and Mauro Delucis. "Unveiling Mental Health Insights: A Novel NLP Tool for Stress Detection through Writing and Speaking Analysis to Prevent Burnout." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004653.

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Nowadays, innovative approaches that precisely identify and treat health-related problems are becoming more and more necessary in a time of rapid technological advancement and growing mental health awareness. Given the prevalence of mental health issues, different tools that employ Artificial Intelligence to support rapid and effective interventions have been developed. This study focuses on the relationship between language expression and mental health, recognizing subtle nuances in both written and spoken communication as potential stress indicators and presenting a novel AI enhanced tool for autonomous and passive stress detection.Specifically, in our study data scientists and psychologists collaborate to create and validate a groundbreaking knowledge base. This innovative database combines psychometrics, biometrics, and linguistic analysis to provide a comprehensive evaluation of stress levels. We used biomedical indicators, such as blood pressure, heart rate variability (HRV), and cortisol levels correlations to validate the results. The multidisciplinary team brought together expertise from data science and psychology to create a novel database with a wide range of sentences that have been annotated with matching stress levels.Thanks to this strong psychometric framework for correlating language manifestation of stress with clinical diagnosis, we developed the first, to our knowledge, NLP (Natural Language Processing) tool for autonomous and passive stress detection. This includes a variety of emotional and cognitive stress indicators to provide a deeper understanding of stress that takes into account both subjective experiences and objective manifestations. Initial results show a strong relationship between the biomedical markers and the stress scores obtained from language analysis. By combining data science techniques with psychometric insights, our stress detection achieves 83% in terms of F1 score, providing a more complete picture of a person's stress profile.During the entire study, ethical considerations were taken into account, following well defined data privacy and protection protocols. In fact, before any data was added to the database, participants were carefully informed about the purpose of data collection.Workplace communication platforms may be combined with our NLP technology to track employee well-being in a professional context. This includes real-time alerts to managers and HR specialists, allowing for timely interventions and promoting a collaborative and positive work environment. The strong correlation between clinical metrics and linguistic semantic choices represents a significant step toward the reform of mental health care. In addition the impressive accuracy of the tool we developed provides a reliable support system for spotting stress symptoms in both written and spoken communication. This should help us to change the way we think about stress, assisting us to assess the presence of a burnout condition before it escalates into more serious health issues. The implementation of this technology into various elements of daily life has the potential to revolutionize society perceptions on mental health, allowing for a more in-depth knowledge of the multiple components involved with stress.
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Reports on the topic "Daily Use Sentences"

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Ripey, Mariya. NUMBERS IN THE NEWS TEXT (BASED ON MATERIAL OF ONE ISSUE OF NATIONWIDE NEWSPAPER “DAY”). Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11106.

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The article is devoted to the analysis of the digital content of publications of one issue of the daily All-Ukrainian newspaper “Den” (March 13-14, 2020). The author aims to identify the main thematic groups of digital designations, as well as to consider cases of justified and unsuccessful use of digital designations. Applying the content analysis method, the author identifies publications that contain numerical notations, determines the number of such notations and their affiliation with the main subject groups. Finds that the thematic group of digital designations “time” (58.6% of all digital designations) is much more dominant. This indicates that timing is the most important task of a newspaper text. The second largest group of digital designations is “measure” (15.8% of all digital designations). It covers dimensions and proportions, measurements of distance, weight, volume, and more. The third largest group of digital signage is money (8.2% of all digital signage), the fourth is numbering (5.2% of all digital signage), and the fifth is people (4.4% of all digital signage). The author focuses on the fact that the digits of the journalist’s text are both a source of information and a catch for the reader. Vivid indicators give the text a sense of accuracy. When referring digital data to the text, journalists must adhere to certain rules for the writing of ordinal numbers with incremental graduation; submission of dates; pointing to unique integers that are combined (or not combined) with units of physical quantities, monetary units, etc.; writing a numerator at the beginning of a sentence; unified presentation of data. This will greatly facilitate the reader’s perception of the information.
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