Relevant bibliographies by topics / SCoRE corpus

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'SCoRE corpus'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "SCoRE corpus"

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Michael, H. Brown. "Using the Sentence Corpus of Remedial English to introduce Data-Driven Learning tasks." Kanda Academic Review 1, no. 1 (2017): 1–14. https://doi.org/10.5281/zenodo.836107.

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Corpus Linguistics has had major effects on English language teaching and learning in the past few decades (Huang, 2011). Its influence can be seen, for example, in the development of modern dictionaries, grammars, course books, and testing design. Data-Driven Learning (DDL), or learning driven by learner access to language data found in corpora, has seen an increase in research interest, too (Cobb & Boulton, 2015). However, this research interest has not resulted in widespread classroom adoption of DDL methods in spite of generally positive findings (Cobb & Boulton, 2015). Objections
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Narayan, Ravi, V. P. Singh, and S. Chakraverty. "Quantum Neural Network Based Machine Translator for Hindi to English." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/485737.

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This paper presents the machine learning based machine translation system for Hindi to English, which learns the semantically correct corpus. The quantum neural based pattern recognizer is used to recognize and learn the pattern of corpus, using the information of part of speech of individual word in the corpus, like a human. The system performs the machine translation using its knowledge gained during the learning by inputting the pair of sentences of Devnagri-Hindi and English. To analyze the effectiveness of the proposed approach, 2600 sentences have been evaluated during simulation and eva
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Teddiman, Laura. "Contextuality and Beyond: Investigating an Online Diary Corpus." Proceedings of the International AAAI Conference on Web and Social Media 3, no. 1 (2009): 331–33. http://dx.doi.org/10.1609/icwsm.v3i1.14004.

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Heylighen and Dewaele’s (2002) F-score, a measure of formality developed based on categorical frequencies of word types, is used as a starting point for an investigation of an online diary corpus. Comparisons are made between results in the main corpus of diary entries, a smaller corpus of diary comments, and with previously calculated F-scores for similar types of data (Nowson, Oberlander & Gill, 2005). While the overall F-score is similar in these two corpora, results show that internal make-up of the categories upon which the calculation is based can differ. This suggests that while the
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Crossley, Scott, Yu Tian, Perpetual Baffour, et al. "The English Language Learner Insight, Proficiency and Skills Evaluation (ELLIPSE) Corpus." International Journal of Learner Corpus Research 9, no. 2 (2023): 248–69. http://dx.doi.org/10.1075/ijlcr.22026.cro.

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Abstract This paper introduces the open-source English Language Learning Insight, Proficiency and Skills Evaluation (ELLIPSE) corpus. The corpus comprises ~6,500 essays written by English language learners (ELLs). All essays were written during state-wide standardized annual testing in the United States. The essays were written on 29 different independent prompts that required no background knowledge on the part of the writer. Individual difference information is made available for each essay including economic status, gender, grade level (8–12), and race/ethnicity. Each essay was scored by tw
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Blavier, Frederic, Gilles Faron, Wilfried Cools, et al. "Corpus luteum score, a simple Doppler examination to prognose early pregnancies." European Journal of Obstetrics & Gynecology and Reproductive Biology 258 (March 2021): 324–31. http://dx.doi.org/10.1016/j.ejogrb.2021.01.001.

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Kongcharoen, Pong-ampai, Jiraporn Dhanarattigannon, and Intira Bumrungsalee. "Formality in the Academic Writing of Thai EFL English-Major Students." rEFLections 32, no. 1 (2025): 395–414. https://doi.org/10.61508/refl.v32i1.280228.

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In recent years, there has been a growing trend of using informal styles in academic writing, including research articles. To examine the degree of formality in students’ writing, this corpus-based study aimed to analyze the formal linguistic features in the academic writing assignments of English-major students at a Thai university. The learner corpus consisted of 552 assignments, totaling 190,506 words, and was organized into five different writing patterns. TagAnt was used to identify the part of speech for each word, while the Google Colab program was utilized for frequency counting. To as
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Yadav, Siddharth, and Tanmoy Chakraborty. "Zera-Shot Sentiment Analysis for Code-Mixed Data." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (2021): 15941–42. http://dx.doi.org/10.1609/aaai.v35i18.17967.

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Code-mixing is the practice of alternating between two or more languages. A major part of sentiment analysis research has been monolingual and they perform poorly on the code-mixed text. We introduce methods that use multilingual and cross-lingual embeddings to transfer knowledge from monolingual text to code-mixed text for code-mixed sentiment analysis. Our methods handle code-mixed text through zero-shot learning and beat state-of-the-art English-Spanish code-mixed sentiment analysis by an absolute 3% F1-score. We are able to achieve 0.58 F1-score (without a parallel corpus) and 0.62 F1-scor
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D.Umanandhini*1, &. S.Manimegalai2. "FUZZY SCORE BASED SHORT TEXT UNDERSTANDING FROM CORPUS DATA USING SEMANTIC DISCOVERY." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 12 (2017): 268–73. https://doi.org/10.5281/zenodo.1116682.

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Short text understanding and short text are always more ambiguous. These short texts are produced including Search queries, Tags, Keywords, Conversation or Social posts and containing limited context. Generally short texts do not contain sufficient collection of data to support many state-of-the-art approaches for text mining such as topic modelling. It presents a comprehensive overview of short text understanding. Here we used a novel framework are Text Feature Extraction Algorithm and Fuzzy weighted Vote algorithm First, Text classification based on semantic feature extraction.   Its go
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Wegner, Philipp, Holger Fröhlich, and Sumit Madan. "Evaluating knowledge fusion models on detecting adverse drug events in text." PLOS Digital Health 4, no. 3 (2025): e0000468. https://doi.org/10.1371/journal.pdig.0000468.

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Detecting adverse drug events (ADE) of drugs that are already available on the market is an essential part of the pharmacovigilance work conducted by both medical regulatory bodies and the pharmaceutical industry. Concerns regarding drug safety and economic interests serve as motivating factors for the efforts to identify ADEs. Hereby, social media platforms play an important role as a valuable source of reports on ADEs, particularly through collecting posts discussing adverse events associated with specific drugs. We aim with our study to assess the effectiveness of knowledge fusion approache
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Achmad, Rizkial, Yokelin Tokoro, Jusuf Haurissa, and Andik Wijanarko. "Recurrent Neural Network-Gated Recurrent Unit for Indonesia-Sentani Papua Machine Translation." Journal of Information Systems and Informatics 5, no. 4 (2023): 1449–60. http://dx.doi.org/10.51519/journalisi.v5i4.597.

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The Papuan Sentani language is spoken in the city of Jayapura, Papua. The law states the need to preserve regional languages. One of them is by building an Indonesian-Sentani Papua translation machine. The problem is how to build a translation machine and what model to choose in doing so. The model chosen is Recurrent Neural Network – Gated Recurrent Units (RNN-GRU) which has been widely used to build regional languages in Indonesia. The method used is an experiment starting from creating a parallel corpus, followed by corpus training using the RNN-GRU model, and the final step is conducting a
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Dissertations / Theses on the topic "SCoRE corpus"

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DI, NUOVO ELISA. "VALICO-UD: annotating an Italian learner corpus." Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1095350.

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Previous work on learner language has highlighted the importance of having annotated resources to describe the development of interlanguage. Despite this, few learner resources, mainly for English L2, feature error and syntactic annotation. This thesis describes the development of a novel parallel learner Italian treebank, VALICO-UD. Its name suggests two main points: where the data comes from—i.e. the corpus VALICO, a collection of non-native Italian texts elicited by comic strips—and what formalism is used for linguistic annotation—i.e. Universal Dependencies (UD) formalism. It is a paralle
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Souza, Alexandre Henryli de. "Inseminação artificial em tempo fixo em vacas holandesas de alta produção." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/10/10131/tde-30052008-140055/.

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A presente tese foi dividida em 5 Experimentos. Os objetivos do Experimento 1 foram avaliar a utilização da gonadotrofina coriônica equina (eCG) e/ou do cipionato de estradiol (ECP) na dinâmica folicular e taxa de concepção de vacas holandesas submetidas a inseminação em tempo fixo (IATF). No D0, todos os animais (n = 782) receberam 2 mg de benzoato de estradiol (BE) e um dispositivo intravaginal de progesterona (CIDR). Oito dias depois, o CIDR foi retirado e todos os animais receberam PGF2?. Simultaneamente, os animais foram divididos em 4 grupos: G1) eCG + ECP no Dia 8; G2) eCG no Dia 8 + G
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Şentürk, Sertan. "Computational analysis of audio recordings and music scores for the description and discovery of Ottoman-Turkish Makam music." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/402102.

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This thesis addresses several shortcomings on the current state of the art methodologies in music information retrieval (MIR). In particular, it proposes several computational approaches to automatically analyze and describe music scores and audio recordings of Ottoman-Turkish makam music (OTMM). The main contributions of the thesis are the music corpus that has been created to carry out the research and the audio-score alignment methodology developed for the analysis of the corpus. In addition, several novel computational analysis methodologies are presented in the context of common M
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Gerschler, Heather. "The Relationship of Corpus Callosum and Cingulate Gyrus Surface Areas with Intelligence Scores in Persons with Early Hydrocephalus." BYU ScholarsArchive, 2002. https://scholarsarchive.byu.edu/etd/7689.

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This study served as a pilot study of cingulate gyrus surface areas and their relation to intelligence in individuals with hydrocephalus. Surface areas of the corpus callosum and cingulate gyrus regions were compared between individuals with early hydrocephalus (n = 9) and controls (n = 7). Subsequently, the surface areas were correlated with full-scale intelligence scores and the verbal and nonverbal discrepancy scores. Corpus collosum surface areas were significantly smaller in participants with hydrocephalus. These areas also robustly correlated with full-scale intelligence scores. Although
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Vila, Rigat Marta. "Paraphrase Scope and Typology. A Data-Driven Approach from Computational Linguistics / Abast i tipologia de la paràfrasi. Una aproximació empíriica des de la lingüíística computacional." Doctoral thesis, Universitat de Barcelona, 2013. http://hdl.handle.net/10803/117850.

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Paraphrasing is generally understood as approximate sameness of meaning between snippets of text with a different wording. Paraphrases are omnipresent in natural languages demonstrating all the aspects of its multifaceted nature. The pervasiveness of paraphrasing has made it a focus of several tasks in computational linguistics; its complexity has in turn resulted in paraphrase remaining a still unresolved challenge. Two basic issues, directly linked to the complex nature of paraphrasing, make its computational treatment particularly difficult, namely the absence of a precise and commonly acc
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Braue, Lawrence A. "Comparing leadership scores of collegiate level basketball players and Army Reserve Officer Training Corps (ROTC) students." Lynchburg, Va. : Liberty University, 2008. http://digitalcommons.liberty.edu.

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Potrovic, Laura. "Ce qu'un corps peut devenir : cartographie entre danse et philosophie." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCA087/document.

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Cette thèse n'explore pas ce qu'est le corps, mais ce qu'un corps peut devenir. Elle explore le corps comme un événement en train de se faire à travers les concepts tels que le Corps sans Organes (Antonin Artaud, Gilles Deleuze et Félix Guattari), le bodying (Erin Manning), le corps en train de se faire (Erin Manning) et le devenir (Gilles Deleuze et Félix Guattari). Ce que tous ces concepts ont en commun est l'état de devenir. Ici, le corps devient, et en tant que tel - c'est un verbe, une activité, une force. Cette thèse explore non seulement le corps comme une force de devenir, mais elle ex
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Baril, Félix Frédéric. "Dérèglement passager de corps hétérogènes : le concept d'organisme musical et la métaphore du virus : étude sur les possibilités de développement organique du matériau musical." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100751.

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Dereglement passager de corps heterogenes is a work for flute (doubling piccolo and alto flute), clarinet (doubling bass clarinet), horn, piano, violin, cello and contrabass which explores the concept of "virus" within a musical form similar to the theme and variations. During its elaboration, I imagined what could metaphorically be the effects of different virus on what I define as "musical organisms". This idea suggested a number of variations that could serve as laboratories to experiment different levels of interaction between the virus and the musical organisms. This thesis consists of th
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Marques, Lílith de Moraes. "A partitura de ações como dispositivo: corpos em jogo no espetáculo Dorotéia do grupo panacéia delirante." Escola de Teatro, 2013. http://repositorio.ufba.br/ri/handle/ri/27122.

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Submitted by Glauber Assunção Moreira (glauber.a.moreira@gmail.com) on 2018-08-27T21:42:29Z No. of bitstreams: 2 ELEMENTOS PRETEXTUAIS_final revisado 15abr2013.pdf: 151459 bytes, checksum: 7f22b52092feb4cceafb79049b5abace (MD5) A PARTITURA DE AÇÕES COMO DISPOSITIVO_Dissertação Final Revisada 15abr2013.pdf: 1269922 bytes, checksum: d53bdc1fe1690436b4a4f77e19325aca (MD5)<br>Approved for entry into archive by Marly Santos (marly@ufba.br) on 2018-08-28T19:00:20Z (GMT) No. of bitstreams: 2 ELEMENTOS PRETEXTUAIS_final revisado 15abr2013.pdf: 151459 bytes, checksum: 7f22b52092feb4cceafb79049b5aba
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Normand, Daniel. "Grâce à trois, Revue de presse : 9 septembre 1996 ; Transformations vernales : oeuvres musicales." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq33726.pdf.

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Books on the topic "SCoRE corpus"

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RCED, United States General Accounting Office. Service Corps of Retired Executives. The Office, 1995.

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Pépin, Clermont. Adagio pour cordes: (1948). Clermont Pepin, 1985.

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Dutilleux, Henri. Ainsi la nuit: Quatuor à cordes. Heugel, 1995.

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Messiaen, Olivier. Pièce pour piano et quatuor à cordes (1991). Universal Edition, 1998.

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(Organization), SCORE, ed. A SCORE that counts: The story of the Service Corps of Retired Executives. The Service, 1989.

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Hétu, Jacques. Quatuor à cordes no 2 opus 50. Doberman-Yppan, 1994.

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Piazzolla, Astor. Four for tango: Pour quatuor à cordes. H. Lemoine, 1989.

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Jolas, Betsy. Quatuor VI: "avec clarinette" et trio à cordes. G. Billaudot, 1998.

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Andreou, Andreas. Hē banta tympanōn kai salpingōn. [s.n.], 2003.

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Piazzolla, Astor. Double concerto: Pour guitare, bandoneón et orchestre à cordes. H. Lemoine, 1985.

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Book chapters on the topic "SCoRE corpus"

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Sterk, Florentine Marnel, and Merel M. van Goch. "Corpus Example: Using an Analytical Framework to Explore Professional Writing in Science Journalism." In Re-presenting Research. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28174-7_6.

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AbstractThis chapter presents the analysis of a corpus of 38 professional science journalism articles. The analysis is quantitative, that is, it shows how often each strategy is used in the corpus, and instrumental, which means that an interpretation of the texts is offered through the application of the analytical framework for popularization discourse. In this chapter, we include the percentage of use and an example of the use of each strategy. The median of strategy use is 20 (out of a possible 34), with a high score of 27 strategies and a low score of 10 strategies. Some strategies are use
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Borms, Samuel, Kris Boudt, Frederiek Van Holle, and Joeri Willems. "Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies." In Data Science for Economics and Finance. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66891-4_10.

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AbstractWe present a general monitoring methodology to summarize news about predefined entities and topics into tractable time-varying indices. The approach embeds text mining techniques to transform news data into numerical data, which entails the querying and selection of relevant news articles and the construction of frequency- and sentiment-based indicators. Word embeddings are used to achieve maximally informative news selection and scoring. We apply the methodology from the viewpoint of a sustainable asset manager wanting to actively follow news covering environmental, social, and govern
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Law, Locky. "Creativity and Television Drama: A t-Score and MI Value Cut-off Analysis of Pattern-forming Creativity in House M.D." In Corpus-based Approaches to Grammar, Media and Health Discourses. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4771-3_14.

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Kundu, Bibekananda, Sutanu Chakraborti, and Sanjay Kumar Choudhury. "Combining Confidence Score and Mal-rule Filters for Automatic Creation of Bangla Error Corpus: Grammar Checker Perspective." In Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28601-8_39.

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Durand, Jacques. "On the scope of linguistics: Data, intuitions, corpora." In Corpus Analysis and Variation in Linguistics. John Benjamins Publishing Company, 2009. http://dx.doi.org/10.1075/tufs.1.04dur.

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Assayed, Suha Khalil, Manar Alkhatib, and Khaled Shaalan. "Enhancing Student Services: Machine Learning Chatbot Intent Recognition for High School Inquiries." In BUiD Doctoral Research Conference 2023. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56121-4_24.

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AbstractPurpose - This paper aims to develop a novel chatbot to improve student services in high school by transferring students’ enquiries to a particular agent, based on the enquiry type. In accordance to that, comparison between machine learning and neural network is conducted in order to identify the most accurate model to classify students’ requests.Methodology - In this study we selected the data from high school students, since high school is one of the most essential stages in students’ lives, as in this stage, students have the option to select their academic streams and advanced cour
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Bernaisch, Tobias, and Sven Leuckert. "Chapter 8. Short-term diachronic and variety-internal approaches to textual functionality in South Asian Englishes." In Studies in Corpus Linguistics. John Benjamins Publishing Company, 2024. http://dx.doi.org/10.1075/scl.119.08tob.

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To empirically trace functional characteristics of texts such as speaker/writer involvement, narrativity or persuasiveness with a view to potential (a) intra-national variability in Indian English and (b) short-term diachronic change in South Asian Englishes, the South Asian Varieties of English (SAVE) corpus, its updated version SAVE2020, and the Corpus of Regional Indian Newspaper Englishes (CORINNE) are subjected to Multidimensional Analysis (MDA, Biber 1988) as implemented in Nini (2019). A hierarchical cluster analysis of the respective MDA scores reveals the tendency of mesolectal Indian
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Goel, Puneeta, Rupali Misra, Suman Lodh, Monomita Nandy, and Nandita Mishra. "B Corps in India: A Sustainable Business Model." In The International Handbook of Social Enterprise Law. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14216-1_30.

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AbstractAfter countries recognized the profound significance of assessing social and environmental performance as a prerequisite for sustainable business existence, various nongovernmental organizations as well as regulatory bodies developed measurement scales to gauge this performance. In this paper, we refer to one such assessment tool, B Impact Assessment (BIA), proposed by B Corps to benchmark the reporting framework of Indian companies for their social and environmental performance. The listed Indian companies were required to publish business responsibility reporting (BRR) which lacks ge
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Steffen, Elisabeth, Milena Pustet, and Helena Mihaljević. "8. Algorithms Against Antisemitism?" In Antisemitism in Online Communication. Open Book Publishers, 2024. http://dx.doi.org/10.11647/obp.0406.08.

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The proliferation of hateful and violent speech in online media underscores the need for technological support to combat such discourse, create safer and more inclusive online environments, support content moderation and study political-discourse dynamics online. Automated detection of antisemitic content has been little explored compared to other forms of hate-speech. This chapter examines the automated detection of antisemitic speech in online and social media using a corpus of online comments sourced from various online and social media platforms. The corpus spans a three-year period and en
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Aull, Laura. "Corpus Linguistic Analysis of Scope and Certainty in FY and Expert Writing." In First-Year University Writing. Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137350466_4.

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Conference papers on the topic "SCoRE corpus"

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Reynolds, Robert, and Tyler Ivie. "Japanese readability assessment using machine learning." In EuroCALL 2023: CALL for all Languages. Editorial Universitat Politécnica de Valéncia, 2023. http://dx.doi.org/10.4995/eurocall2023.2023.16989.

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We present a new corpus of Japanese texts, labeled according to six second-language readability levels. We also show the results of experiments training machine-learning classifiers to automatically label new texts according to reading level. The resulting models can be used in language-learning websites and applications to enhance Japanese language learning. The best-performing model, Random Forest, achieved an F1 score of 0.86, with an adjacent accuracy of 0.97. Of the 114 features used, we identify a small subset of five features that are sufficient to achieve an F1 score of 0.74. The corpu
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Song, Hoeun, Jaein Kim, Kyongrok Lee, and Jinyoung Kim. "Phonetic normalization using z-score in segmental prosody estimation for corpus-based TTS system." In 7th International Conference on Spoken Language Processing (ICSLP 2002). ISCA, 2002. http://dx.doi.org/10.21437/icslp.2002-103.

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Zimmerling, Anton. "RUSSIAN PREDICATIVES AND FREQUENCY METRICS." In INTERNATIONAL CONFERENCE on Computational Linguistics and Intellectual Technologies. RSUH, 2023. http://dx.doi.org/10.28995/2075-7182-2023-22-579-589.

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This paper introduces five metrics for measuring the frequencies of dative predicatives in Russian.А dative predicative is a word or multiword expression licensing the dative-predicative-structure, where the semantic subject of the non-agreeing non-verbal predicate is marked by the dative case. I measure the frequencies of the predicatives in the contact position &lt;-1;1&gt; with the same-clause dative subject pronouns in 1Sg (m-metrics) and 3Sg (e-metrics). The m-metrics is applied for retrieving a list of dative predicatives from a corpus. I argue that for each large text collection there i
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Chavarro, Juan Pablo, Jonata Tyska Carvalho, Tarlis Tortelli Portela, and Jonathan Cardoso Silva. "FakeTrueBR: Um corpus brasileiro de notícias falsas." In Escola Regional de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/erbd.2023.229495.

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Atualmente, o grande volume de notícias falsas circulando nas redes sociais é um perigo para a percepção da realidade da sociedade. Técnicas de aprendizado de máquina têm sido úteis para o combate da desinformação, mas para gerar bons resultados necessitam de conjuntos de dados de treinamento balanceados e com boa qualidade. Uma vez que os principais corpus para o treinamento de modelos detecção de notícias falsas disponíveis publicamente estão desatualizados ou desalinhados, neste trabalho foi proposto um enfoque inovador para recuperar as notícias verdadeiras a partir das falsas, e melhorar
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Burov, E. E. "Identification of Words' Syntagmatic Properties by Means of Statistical Measures of Association." In Digital technologies in social and humanitarian research: method, field, reality. Publishing House of Irkutsk State University, 2023. http://dx.doi.org/10.26516/978-5-9624-2180-3.2023.8.

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The article discusses some statistical methods for identifying the syntagmatic properties of words. It explains the statistical notion 0f collocation and demonstrates the importance 0f this notion for theoretica1 and applied linguistics. Different measures of association (numbers that indicate the strength of the syntagmatic connection between the members of а collocation) such as MI-score, Т-score and logDice are described. It is emphasized that the term «measure of association» is not equivalent of the term ”frequency 0f co-occurrence”. Various corpus managers that take it possible to identi
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Takeo Friedrich Kuwaki, Vinícius, Mateus Nepomuceno Ladeira, Matias Giuliano Gutierrez Benitez, and Rui Jorge Tramontin Junior. "Building a corpus from supermarket reviews in portuguese for document-level Sentiment Analysis." In Computer on the Beach. Universidade do Vale do Itajaí, 2022. http://dx.doi.org/10.14210/cotb.v13.p119-125.

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ABSTRACTSentiment Analysis (SA) is a field of research within Natural LanguageProcessing that has been growing in the last decades dueto social media and smartphones popularization. Many SA applicationsmake use of a corpus: a collection of data in textual formused to train and/or test SA resources. This work describes theconstruction of a corpus intended for document-level SA. The corpuscontains reviews of supermarkets throughout Brazil, extractedfrom Google Places. The data were collected taking into accountthe Brazilian geographic distribution and linguistic variations, andwere carefully rev
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Camargo, Augusto, Wesley Carvalho, Felipe Peressim, Alan Barzilay, and Marcelo Finger. "Text-to-hashtag Generation using Seq2Seq Learning." In Brazilian e-Science Workshop. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/bresci.2021.15797.

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In this paper, we studied whether models based on BiLSTM and BERT can predict hashtags in Brazilian Portuguese for Ecommerce websites. Hashtags have a sizable financial impact on Ecommerce. We processed a corpus of Ecommerce reviews as inputs, and predicted hashtags as outputs. We evaluated the results using four quantitative metrics: NIST, BLEU, METEOR and a crowdsourced score. A word cloud was used as a qualitative metric. While all computer-generated metrics (NIST, BLEU and METEOR) indicated bad results, the crowdsourced results produced amazing scores. We concluded that the texts predicted
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Mota, Ana Alice Ximenes, Wellington Franco, and César Lincoln Cavalcante Mattos. "Detecção de desinformação sobre Covid-19 no Twitter." In Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/stil.2021.17796.

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Os danos causados por notícias falsas ou enganosas têm se potencializado graças à facilidade com que as informações são disseminadas em redes sociais. Durante a pandemia do Covid-19, iniciada em 2020, tais notícias foram capazes de gerar pânico na população, além de instruir erroneamente as pessoas sobre a prevenção da doença. O presente trabalho introduz um novo corpus a partir de postagens no Twitter na língua portuguesa com desinformações sobre a Covid-191. Além do novo corpus, o trabalho avalia diferentes abordagens de representações textuais e algoritmos de aprendizagem na tarefa de detec
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Cortiz, Diogo, Jefferson O. Silva, Newton Calegari, et al. "A Weakly Supervised Dataset of Fine-Grained Emotions in Portuguese." In Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/stil.2021.17786.

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A Computação Afetiva é o estudo de como os computadores podem reconhecer, interpretar e simular os afetos humanos. A Análise de Sentimento é uma tarefa comum em PLN, mas se concentra apenas na valência da emoção (positiva, negativa, neutra). Uma abordagem emergente é o Reconhecimento de Emoção, que depende de uma classificação refinada. Nesta pesquisa, descrevemos uma abordagem de supervisão fraca baseada em Itens Lexicais para criar um corpus de emoções refinadas em português. Avaliamos nosso corpus fazendo o ajuste fino de um modelo de linguagem baseado em Transformer (BERT) e avaliando-o em
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Voltan, José, Romullo Girardi, Thassia Santos, et al. "Methodology to build labeled corpora and classification models to assess technological readiness: a case study with defense technologies described by texts in pt-br." In Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/sbbd.2024.240545.

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The Technology Readiness Levels (TRL) scale is a tool for assessing the maturity of technologies. It has been increasingly used by governments and industries to implement tasks such as technological trends detection. The complexity of the assessment process has demanded automated solutions based on classification models that analyze documents to infer the TRL of the technologies described by the texts. However, the lack of corpora with labeled documents has hindered the development of such solutions. To fill this gap, this study proposes a methodology for building corpora labeled w.r.t. the TR
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Reports on the topic "SCoRE corpus"

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Pedersen, Gjertrud. Symphonies Reframed. Norges Musikkhøgskole, 2018. http://dx.doi.org/10.22501/nmh-ar.481294.

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Symphonies Reframed recreates symphonies as chamber music. The project aims to capture the features that are unique for chamber music, at the juncture between the “soloistic small” and the “orchestral large”. A new ensemble model, the “triharmonic ensemble” with 7-9 musicians, has been created to serve this purpose. By choosing this size range, we are looking to facilitate group interplay without the need of a conductor. We also want to facilitate a richness of sound colours by involving piano, strings and winds. The exact combination of instruments is chosen in accordance with the features of
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Allen, Hollis H., and F. J. Wade. The Scope and Nature of Shoreline Erosion Problems at Corps of Engineers Reservoir Projects: A Preliminary Assessment. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada245255.

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Bingham, Sonia, Craig Young, and Tanni Hubbard. Sentinel wetlands in Cuyahoga Valley National Park: II. Condition trends for wetlands of management concern, 2008?2018. National Park Service, 2023. http://dx.doi.org/10.36967/2301705.

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Twenty important management areas (wetlands of management concern) and reference wetlands compose the sentinel wetlands at Cuyahoga Valley National Park. These wetlands are monitored more intensively than other wetlands in the program. This is the second report in a two-part series, designed to summarize the results from intensive vegetation surveys completed at sentinel wetlands from 2008 to 2018. The first report (Bingham and Young 2023) characterized the conditions in each wetland and provided baseline reference information for other reports and site-specific projects. In this report, we ex
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Santiago, Ana, Marina Bassi, and Mariana Alfonso. Estimating the Impact of Placing Top University Graduates in Vulnerable Schools in Chile. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0008834.

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Enseña Chile (ECh) is one model in the direction of helping close the achievement gap between low-income and high-income students in Chile, and is a first adaptation of the Teach for America (TFA) model in Latin America. This paper provides the first evidence on the impact of the implementation, and is the first evaluation of Teach For America model to shed light on how it affects non-cognitive skills. While it is still premature to speculate the full effect of ECh corps members on student academic achievement and cognitive and non-cognitive abilities, preliminary results from the follow-up wa
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Kurth, Margaret, Bari Greenfeld, Matthew Smith, Samuel Fielding, Marriah Abellera, and Jeffrey King. Financing natural infrastructure : South Bay Salt Pond Restoration Project, California. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45240.

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This technical note is part of a series collaboratively produced by the US Army Corps of Engineers (USACE)–Institute for Water Resources (IWR) and the US Army Engineer Research and Development Center (ERDC). It describes the funding and financing process for the South Bay Salt Pond Restoration Project in San Francisco Bay, California and, like the other technical notes in this series, documents successful examples of funding natural infrastructure projects. The research effort is a collaboration between the Engineering With Nature® (EWN®) and Systems Approach to Geomorphic Engineering (SAGE) p
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Durden, Susan, Tyson Vaughan, and Brook Herman. Other social effects and social vulnerability analysis : existing resources. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44662.

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The following technical note (TN) provides a summary of existing resources available to the US Army Corps of Engineers’ (USACE) districts that address benefits in the Other Social Effects account for evaluating the effects of water resource projects. Consideration of social factors is key to a complete, robust, water-resources analysis, and these resources provide planners and project development teams with approaches and tools for their consideration. "social effects—the constituents of life that influence personal and group definitions of satisfaction, well-being, and happiness —OSE Primer,
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Greenfeld, Bari, Margaret Kurth, Matthew Smith, Ellis Kalaidjian, Marriah Abellera, and Jeffrey King. Financing natural infrastructure : Exploration Green, Texas. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45601.

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This technical note is part of a series collaboratively produced by the US Army Corps of Engineers (USACE)–Institute for Water Resources (IWR) and the US Army Engineer Research and Development Center (ERDC). It describes the funding process for Exploration Green, a largescale community initiative that transformed a former golf course into a multipurpose green space with flood detention, habitat, and recreation benefits. It is one in a series of technical notes that document successful examples of funding natural infrastructure projects. The research effort is a collaboration between the Engine
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Alt, Jonathan, Willie Brown, George Gallarno, and John Richards. Risk-based prioritization of operational condition assessments : stakeholder analysis and literature review. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40162.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages more than $232 billion worth of the Nation’s water resource infrastructure. Using the Operational Condition Assessment (OCA) system, the USACE allocates limited resources to assess conditions and maintain assets in efforts to minimize risks associated with asset performance degradation. Currently, OCAs are conducted on each component within a facility every 5 years, regardless of the component’s risk contribution. The analysis of risks associated with Flood Risk Management (FRM) facilities, such as dams, includes consideri
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Alt, Jonathan, Willie Brown, George Gallarno, John Richards, and Titus Rice. Risk-based prioritization of operational condition assessments : Jennings Randolph case study. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43862.

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The US Army Corps of Engineers (USACE) operates, maintains, and manages over $232 billion worth of the Nation’s water resource infrastructure. Using Operational Condition Assessments (OCA), the USACE allocates limited resources to assess asset condition in efforts to minimize risks associated with asset performance degradation, but decision makers require a greater understanding of those risks. The analysis of risk associated with Flood Risk Management assets in the context of its associated watershed system includes understanding the consequences of the asset’s failure and a determination of
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Shaffer, Austin, John-Paul Hodnett, Vincent Santucci, et al. Cuyahoga Valley National Park: Paleontological resource inventory (public version). National Park Service, 2024. http://dx.doi.org/10.36967/2306411.

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Cuyahoga Valley National Park (CUVA) was established as Cuyahoga River National Recreation Area on December 27, 1974, to preserve and protect the Cuyahoga River Valley and its historic, scenic, natural, and recreational values. While not explicitly mentioned in the park?s mission statement, paleontological resources preserved at CUVA are nevertheless of importance, particularly when considering the significant fossil discoveries made elsewhere across northeast Ohio. The upper Paleozoic geologic strata of CUVA encompass sedimentary rocks dating from the Late Devonian to the Early Pennsylvanian,
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