Relevant bibliographies by topics / Text-to-text transfer transformer

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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 'Text-to-text transfer transformer'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Text-to-text transfer transformer"

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Ay, Betul, Fatih Ertam, Guven Fidan, and Galip Aydin. "Turkish abstractive text document summarization using text to text transfer transformer." Alexandria Engineering Journal 68 (April 2023): 1–13. http://dx.doi.org/10.1016/j.aej.2023.01.008.

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Neda, Alipour, and Aydın Serdar. "Abstractive summarization using multilingual text-to-text transfer transformer for the Turkish text." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 2 (2025): 1587–96. https://doi.org/10.11591/ijai.v14.i2.pp1587-1596.

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Today, with the increase in text data, the application of automatic techniques such as automatic text summarization, which is one of the most critical natural language processing (NLP) tasks, has attracted even more attention and led to more research in this area. Nowadays, with the developments in deep learning, pre-trained sequence-to-sequence (text-to-text transfer converter (T5) and bidirectional encoder representations from transformers (BERT) algorithm) encoder-decoder models are used to obtain the most advanced results. However, most of the studies were done in the English language. Wit
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Alipour, Neda, and Serdar Aydın. "Abstractive summarization using multilingual text-to-text transfer transformer for the Turkish text." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 2 (2025): 1587. https://doi.org/10.11591/ijai.v14.i2.pp1587-1596.

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<span lang="EN-US">Today, with the increase in text data, the application of automatic techniques such as automatic text summarization, which is one of the most critical natural language processing (NLP) tasks, has attracted even more attention and led to more research in this area. Nowadays, with the developments in deep learning, pre-trained sequence-to-sequence (text-to-text transfer converter (T5) and bidirectional encoder representations from transformers (BERT) algorithm) encoder-decoder models are used to obtain the most advanced results. However, most of the studies were done in
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Itsnaini, Qurrota A’yuna, Mardhiya Hayaty, Andriyan Dwi Putra, and Nidal A. M. Jabari. "Abstractive Text Summarization using Pre-Trained Language Model "Text-to-Text Transfer Transformer (T5)"." ILKOM Jurnal Ilmiah 15, no. 1 (2023): 124–31. http://dx.doi.org/10.33096/ilkom.v15i1.1532.124-131.

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Automatic Text Summarization (ATS) is one of the utilizations of technological sophistication in terms of text processing assisting humans in producing a summary or key points of a document in large quantities. We use Indonesian language as objects because there are few resources in NLP research using Indonesian language. This paper utilized PLTMs (Pre-Trained Language Models) from the transformer architecture, namely T5 (Text-to-Text Transfer Transformer) which has been completed previously with a larger dataset. Evaluation in this study was measured through comparison of the ROUGE (Recall-Or
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Teng, Zhaopu. "Abstractive summarization of COVID-19 with transfer text-to-text transformer." Applied and Computational Engineering 2, no. 1 (2023): 232–38. http://dx.doi.org/10.54254/2755-2721/2/20220520.

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As a classic problem of Natural Language Processing, summarization provides convenience for studies, research, and daily life. The performance of generation summarization by Natural Language Processing techniques has attracted considerable attention. Meanwhile, COVID-19, a global explosion event, has led to the emergence of a large number of articles and research. The wide variety of articles makes it a perfect realization object for summarization generation tasks. This paper designed and implemented experiments by fine tuning T5 model to get an abstract summarization of COVID-19 literatures.
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Chomphooyod, Peerawat, Atiwong Suchato, Nuengwong Tuaycharoen, and Proadpran Punyabukkana. "English grammar multiple-choice question generation using Text-to-Text Transfer Transformer." Computers and Education: Artificial Intelligence 5 (2023): 100158. http://dx.doi.org/10.1016/j.caeai.2023.100158.

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Nikita, Chaudhari, Vora Deepali, Kadam Payal, Khairnar Vaishali, Patil Shruti, and Kotecha Ketan. "Towards efficient knowledge extraction: Natural language processing-based summarization of research paper introductions." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 1 (2025): 680–91. https://doi.org/10.11591/ijai.v14.i1.pp680-691.

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Academic and research papers serve as valuable platforms for disseminating expertise and discoveries to diverse audiences. The growing volume of academic papers, with nearly 7 million new publications annually, presents a formidable challenge for students and researchers alike. Consequently, the development of research paper summarization tools has become crucial to distilling crucial insights efficiently. This study examines the effectiveness of pre-trained models like text-to-text transfer transformer (T5), bidirectional encoder representations from transformers (BERT), bidirectional and aut
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Phakmongkol, Puri, and Peerapon Vateekul. "Enhance Text-to-Text Transfer Transformer with Generated Questions for Thai Question Answering." Applied Sciences 11, no. 21 (2021): 10267. http://dx.doi.org/10.3390/app112110267.

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Question Answering (QA) is a natural language processing task that enables the machine to understand a given context and answer a given question. There are several QA research trials containing high resources of the English language. However, Thai is one of the languages that have low availability of labeled corpora in QA studies. According to previous studies, while the English QA models could achieve more than 90% of F1 scores, Thai QA models could obtain only 70% in our baseline. In this study, we aim to improve the performance of Thai QA models by generating more question-answer pairs with
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Yani, Mohammad, Nur Siti Khodijah, Rendi Rendi, and Muhamad Mustamiin. "Aplikasi Peringkas Teks Bahasa Indonesia Menggunakan Model Text-to-Text Transfer Transformer (T5)." IKRA-ITH Informatika : Jurnal Komputer dan Informatika 9, no. 2 (2024): 78–86. http://dx.doi.org/10.37817/ikraith-informatika.v9i2.4392.

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In the digital era, information can be easily accessed through various available media suchas search engines, academic repositories, social media, news portals, and websites.However, the information available is often presented in lengthy textual form. For instance,information about 'Joko Widodo' on the Wikipedia page contains at least 8,716 charactersof text. Such a long text can be challenging to extract its main points efficiently. Severalstudies have been conducted on the development of text summarization applications.Nevertheless, a summarization application that accepts input from variou
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Zhao, Qingqing, Yuhan Xia, Yunfei Long, Ge Xu, and Jia Wang. "Leveraging sensory knowledge into Text-to-Text Transfer Transformer for enhanced emotion analysis." Information Processing & Management 62, no. 1 (2025): 103876. http://dx.doi.org/10.1016/j.ipm.2024.103876.

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Dissertations / Theses on the topic "Text-to-text transfer transformer"

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Grant, Harald. "Extractive Multi-document Summarization of News Articles." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158275.

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Publicly available data grows exponentially through web services and technological advancements. To comprehend large data-streams multi-document summarization (MDS) can be used. In this research, the area of multi-document summarization is investigated. Multiple systems for extractive multi-document summarization are implemented using modern techniques, in the form of the pre-trained BERT language model for word embeddings and sentence classification. This is combined with well proven techniques, in the form of the TextRank ranking algorithm, the Waterfall architecture and anti-redundancy filt
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Sellerberg, Jesper. "To Transform the Body Online : Productions of subjectivity between the body and practices of written text in an online message board forum for self harm support." Thesis, Stockholms universitet, Institutionen för pedagogik och didaktik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-77101.

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The question of the human biological body and technology has been of major concern within posthumanist theories emphasising the co-constituting relationship between materiality and social discourse for the productions of subjectivity. Online space cannot be thought of as liberating the mind from the materiality of the body, but instead seen as effected by the body and affecting the body in return. The philosophy of Gilles Deleuze and Félix Guattari has been used to argue that the body is implicated in online practices for the productions of subjectivity within posthumanist discourses. In this
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PRAKASH, VED. "AN ANALYTICAL APPROACH TOWARDS CONVERSION OF HUMAN SIGNED LANGUAGE TO TEXT USING MODIFIED SCALE INVARIANT FEATURE TRANSFORM (SIFT)." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14739.

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Sign language is used as a communication medium among deaf & dumb people to convey the message with each other. A person who can talk and hear properly (normal person) cannot communicate with deaf & dumb person unless he/she is familiar with sign language. Same case is applicable when a deaf & dumb person wants to communicate with a normal person or blind person. In order to bridge the gap in communication among deaf & dumb community and normal community, researchers are working to convert hand signs to voice and vice versa to help communication at both ends. A lot of research work has been ca
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Books on the topic "Text-to-text transfer transformer"

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Hui, Wang. Intuition, Repetition, and Revolution. Edited by Carlos Rojas and Andrea Bachner. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199383313.013.36.

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Ah Q, the eponymous protagonist of Lu Xun’s novellaThe True Story of Ah Q, is famous for his “spiritual victory method”—his ability to transform apparent defeat and humiliation into a symbolic victory by renarrativizing the event in question in a way that is more favorable to him. A form of Nietzscheanressentiment, this strategy seeks to transform objective weakness into a form of symbolic strength, but in a way that often appears patently absurd to everyone but Ah Q himself. To the extent that Ah Q’s trademark gesture represents an attempt to transform failure into a symbolic victory, however
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Robinson, Lily B. Interior Design Research Methods. Bloomsbury Publishing Inc, 2023. http://dx.doi.org/10.5040/9781501327810.

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Interior Design Research Methods gives you the tools and skills needed to do research and analysis for human-centered interior design projects. The text develops your analytical skills and helps you transform scientific models into unique and innovative processes for design projects. You'll integrate information about external and internal influences on the research process, develop a research question and thesis, design a system of inquiry, and analyze, interpret, and present data.
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Boudreault, Patrick. Exposing the Borders of Academia: Sign Language as a Medium of Knowledge Production, Preservation, and Dissemination (ASL, WEBM). Michigan Publishing Services, 2024. http://dx.doi.org/10.3998/dsdj.sf268778f.

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The _Deaf Studies Digital Journal_ (DSDJ) is a peer-reviewed, digital journal in American Sign Language and English text dedicated to advancing the cultural, creative and critical output of work in and about sign languages and its communities, in the form of scholarly video articles, original works of signed literature, as well as interviews, reviews, and historical resources. This project will preserve and migrate past issues of DSDJ to a new open-access, technologically sustainable platform, which adheres to and advances accessibility standards in publishing through fully bilingual video and
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Boudreault, Patrick. Exposing the Borders of Academia: Sign Language as a Medium of Knowledge Production, Preservation, and Dissemination (English). Michigan Publishing Services, 2024. http://dx.doi.org/10.3998/dsdj.k643b4150.

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The _Deaf Studies Digital Journal_ (DSDJ) is a peer-reviewed, digital journal in American Sign Language and English text dedicated to advancing the cultural, creative and critical output of work in and about sign languages and its communities, in the form of scholarly video articles, original works of signed literature, as well as interviews, reviews, and historical resources. This project will preserve and migrate past issues of DSDJ to a new open-access, technologically sustainable platform, which adheres to and advances accessibility standards in publishing through fully bilingual video and
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Boudreault, Patrick. Exposing the Borders of Academia: Sign Language as a Medium of Knowledge Production, Preservation, and Dissemination (ASL, MP4). Michigan Publishing Services, 2024. http://dx.doi.org/10.3998/dsdj.2v23vx408.

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The _Deaf Studies Digital Journal_ (DSDJ) is a peer-reviewed, digital journal in American Sign Language and English text dedicated to advancing the cultural, creative and critical output of work in and about sign languages and its communities, in the form of scholarly video articles, original works of signed literature, as well as interviews, reviews, and historical resources. This project will preserve and migrate past issues of DSDJ to a new open-access, technologically sustainable platform, which adheres to and advances accessibility standards in publishing through fully bilingual video and
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Guenther, B. D. Modern Optics Simplified. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198842859.001.0001.

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This textbook is designed for use in a standard physics course on optics at the sophomore level. The book is an attempt to reduce the complexity of coverage found in Modem Optics to allow a student with only elementary calculus to learn the principles of optics and the modern Fourier theory of diffraction and imaging. Examples based on real optics engineering problems are contained in each chapter. Topics covered include aberrations with experimental examples, correction of chromatic aberration, explanation of coherence and the use of interference theory to design an antireflection coating, Fo
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Barker, Elton, and Melissa Terras. Greek Literature, the Digital Humanities, and the Shifting Technologies of Reading. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199935390.013.45.

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Contrary perhaps to expectation, Classical studies is at the vanguard of the latest technological developments for using digital tools and computational techniques in research. This article outlines its pioneering adoption of digital tools and methods, and investigates how the digital medium is helping to transform the study of Greek and Latin literature. It discusses the processes and consequences of digitization, explaining how technologies like multispectral imaging are increasing the textual corpus, while examining how annotation, engagement, and reuse are changing the way we think about “
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Cash, Sarah. Reading Time in Music. Rowman & Littlefield Publishing Group, 2023. https://doi.org/10.5040/9781978723894.

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In this book, Sarah Cash examines the intersection of music and temporality in British literature of the long nineteenth century. The sound spaces created at these intersections function as antimimetic resistance to hegemonic structures. Through its temporal multiplicity, music resonates in excess of linear time, revealing a metaphoric soundedness in the text that subverts reader expectation and reveals how seemingly realist nineteenth-century novels transgress the limitations of their classic narratological structures. In even the most apparently "realist" texts, the most extravagant, excessi
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Dugan, John. Netting the Wolf-Fish. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198788201.003.0009.

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This chapter offers a close reading of a single oratorical fragment, a passage ascribed to the second-century BC orator C. Titius quoted by Macrobius (Sat. 3.16.15‒16). The chapter explores the range of contexts we can use as readers to try to make sense of the passage, suggesting that quotation practices can illuminate aspects of the quoted text we miss if we concentrate simply on the testimonia to Titius’ activity as an orator as traditionally understood. In this particular case, attention to Macrobius’ concern with luxury and consumption, and the emblematic wolf-fish, also points towards a
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Scheible, Kristin. Reading the Mahavamsa. Columbia University Press, 2017. http://dx.doi.org/10.7312/columbia/9780231171380.001.0001.

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Vamsa is a dynamic genre of Buddhist history filled with otherworldly characters and the exploits of real-life heroes. These narratives collapse the temporal distance between Buddha and the reader, building an emotionally resonant connection with an outsized religious figure and a longed-for past. The fifth-century Pali text Mahāvamsa is a particularly effective example, using metaphor and other rhetorical devices to ethically transform readers, to stimulate and then to calm them. Reading the Mahāvamsa advocates a new, literary approach to this text by revealing its embedded reading advice (to
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Book chapters on the topic "Text-to-text transfer transformer"

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Řezáčková, Markéta, and Jindřich Matoušek. "Text-to-Text Transfer Transformer Phrasing Model Using Enriched Text Input." In Text, Speech, and Dialogue. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16270-1_32.

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Sohrab, Mohammad Golam, and Makoto Miwa. "KAT5: Knowledge-Aware Transfer Learning with a Text-to-Text Transfer Transformer." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70378-2_10.

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Řezáčková, Markéta, Adam Frémund, Jan Švec, and Jindřich Matoušek. "T5G2P: Multilingual Grapheme-to-Phoneme Conversion with Text-to-Text Transfer Transformer." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47665-5_27.

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Pęzik, Piotr, Agnieszka Mikołajczyk, Adam Wawrzyński, Bartłomiej Nitoń, and Maciej Ogrodniczuk. "Keyword Extraction from Short Texts with a Text-to-Text Transfer Transformer." In Recent Challenges in Intelligent Information and Database Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8234-7_41.

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Madarász, Gábor, Noémi Ligeti-Nagy, András Holl, and Tamás Váradi. "OCR Cleaning of Scientific Texts with LLMs." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65794-8_4.

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AbstractCorrecting Optical Character Recognition (OCR) errors is a major challenge in preprocessing datasets consisting of legacy PDF files. In this study, we develop Large Language Models specially finetuned to correct OCR errors. We experimented with the mT5 model (both the mT5-small and mT5-large configurations), a Text-to-Text Transfer Transformer-based machine translation model, for the post-correction of texts with OCR errors. We compiled a parallel corpus consisting of text corrupted with OCR errors as well as corresponding clean data. Our findings suggest that the mT5 model can be successfully applied to OCR error correction with improving accuracy. The results affirm the mT5 model as an effective tool for OCR post-correction, with prospects for achieving greater efficiency in future research.
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Francom, Jerid. "Transform." In An Introduction to Quantitative Text Analysis for Linguistics. Routledge, 2024. http://dx.doi.org/10.4324/9781003393764-10.

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Courant, Robin, Maika Edberg, Nicolas Dufour, and Vicky Kalogeiton. "Transformers and Visual Transformers." In Machine Learning for Brain Disorders. Springer US, 2012. http://dx.doi.org/10.1007/978-1-0716-3195-9_6.

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AbstractTransformers were initially introduced for natural language processing (NLP) tasks, but fast they were adopted by most deep learning fields, including computer vision. They measure the relationships between pairs of input tokens (words in the case of text strings, parts of images for visual transformers), termed attention. The cost is exponential with the number of tokens. For image classification, the most common transformer architecture uses only the transformer encoder in order to transform the various input tokens. However, there are also numerous other applications in which the decoder part of the traditional transformer architecture is also used. Here, we first introduce the attention mechanism (Subheading 1) and then the basic transformer block including the vision transformer (Subheading 2). Next, we discuss some improvements of visual transformers to account for small datasets or less computation (Subheading 3). Finally, we introduce visual transformers applied to tasks other than image classification, such as detection, segmentation, generation, and training without labels (Subheading 4) and other domains, such as video or multimodality using text or audio data (Subheading 5).
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Lehečka, Jan, Josef V. Psutka, and Josef Psutka. "Transfer Learning of Transformer-Based Speech Recognition Models from Czech to Slovak." In Text, Speech, and Dialogue. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40498-6_29.

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Schmidt, Marisa, Karin Harbusch, and Denis Memmesheimer. "Automatic Ellipsis Reconstruction in Coordinated German Sentences Based on Text-to-Text Transfer Transformers." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70563-2_14.

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Kagawade, Vishwanath C., C. S. Vijayashree, and T. Vasudev. "Transformation of Artistic Form Text to Linear Form Text for OCR Systems Using Radon Transform." In Lecture Notes in Electrical Engineering. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1157-0_76.

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Conference papers on the topic "Text-to-text transfer transformer"

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Sulistio, Bambang, Derwin Suhartono, Haryono Soeparno, and Widodo Budiharto. "Model of Text-to-Text Transfer Transformer for Hadith Question Answering System." In 2024 11th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE). IEEE, 2024. https://doi.org/10.1109/icitacee62763.2024.10762762.

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Cheng, Yue. "Computer-Aided English Translation system based on Text-to-Text Transfer Transformer model." In 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). IEEE, 2025. https://doi.org/10.1109/iciscn64258.2025.10934412.

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Hamed, Mohamed, and Zied Lachiri. "Expressivity Transfer In Transformer-Based Text-To-Speech Synthesis." In 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP). IEEE, 2024. http://dx.doi.org/10.1109/atsip62566.2024.10638975.

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Hamed, Mohamed, and Zied Lachiri. "Fine-Grained Prosody Transfer Text-to-Speech Synthesis with Transformer." In 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE). IEEE, 2024. http://dx.doi.org/10.1109/eeite61750.2024.10654450.

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Simon, Essmily, and Sanjay Bankapur. "Leveraging Pre-Trained Text-To-Text Transfer Transformer Language Model for Accurate Prediction of Drug-Target Interactions." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724551.

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Zhao, Zihan, Jinhua Chen, Franck Junior Aboya Messou, Robert Katabarwa, and Keping Yu. "A Resource-efficient Text-to-Text Transfer Transformer Encoder-based Vertical Hybrid Model for Malicious URLs Detection." In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024. https://doi.org/10.1109/vtc2024-fall63153.2024.10757492.

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Awalurahman, Halim Wildan, and Indra Budi. "Paragraph vs Sentence in Automatic Question Generation Fine-Tuning using Text-to-Text Transfer Transformer for Bahasa Indonesia." In 2024 10th International Conference on Education and Technology (ICET). IEEE, 2024. https://doi.org/10.1109/icet64717.2024.10778465.

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Kong, Ge, Jiao Wang, Yuanhao Fan, and Juan Wang. "SLP-T5: A New Method for Predicting Protein Sub-chloroplast Localization Based on Text-to-Text Transfer Transformer." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822575.

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Kaczorowski, Andrzej, Edward Buckley, Richard Stahl, Dmitri Choutov, Theodore Marescaux, and Michael Noonen. "Sub-Wavelength Spatial Light Modulator Enabling Compact Holographic Augmented Reality." In Laser Science. Optica Publishing Group, 2024. https://doi.org/10.1364/ls.2024.ftu6a.2.

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Augmented Reality holds potential to transform our daily lives, but adoption has been limited. Holography overcomes many shortcomings of current AR. We review the history of Holographic Augmented Reality and present recent developments at Swave. Full-text article not available; see video presentation
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Asahi, H., Y. Sogo, M. Ueno, and H. Higashiyama. "Metallurgical Factors Controlling SSC Resistance of High Strength Low Alloy Steels." In CORROSION 1988. NACE International, 1988. https://doi.org/10.5006/c1988-88056.

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Abstract Metallurgical factors affecting SSC resistance of low alloy steel having yield strength of 600MPa to 900MPa were investigated. A new characteristic value of SSC resistance, namely an SSC critical strength, σC, defined in the text was introduced on the basis of experimental results and some analysis. σC approximately coincides with a peak strength, σypeak, also defined in the text. σC is influenced by metallurgical factors, that is, σC decreases with an increase in Mn and P contents and increases with an increase in Mo content and a refinement of grain size, while these metallurgical f
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Reports on the topic "Text-to-text transfer transformer"

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Kiv, Arnold E., Vladimir N. Soloviev, and Serhiy O. Semerikov. CTE 2018 – How cloud technologies continues to transform education. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3239.

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This is an introductory text to a collection of papers from the CTE 2018: The 6th Workshop on Cloud Technologies in Education, which was held in Kryvyi Rih, Ukraine, on the December 21, 2018. It consists of short introduction and some observations about the event and its future.
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Volkova, Nataliia P., Nina O. Rizun, and Maryna V. Nehrey. Data science: opportunities to transform education. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3241.

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The article concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for development modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating all spheres of life. More people understand the importance of the science of data and the need for implementation in everyday life. Data science is used in business
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Lawley, C. J. M., P. Giddy, L. Katz, et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/pf995j5tgu.

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Abstract:
The Canada Geological Map Compilation (CGMC) is a database of previously published bedrock geological maps sourced from provincial, territorial, and other geological survey organizations. The geoscientific information included within these source geological maps was standardized, translated to English, and combined to provide complete coverage of Canada and support a range of down-stream machine learning applications. Detailed lithological, mineralogical, metamorphic, lithostratigraphic, and lithodemic information was not previously available as one national-scale product. The source map data
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4

Lawley, C. J. M., P. Giddy, L. Katz, et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332596.

Full text
Abstract:
The Canada Geological Map Compilation (CGMC) is a database of previously published bedrock geological maps sourced from provincial, territorial, and other geological survey organizations. The geoscientific information included within these source geological maps was standardized, translated to English, and combined to provide complete coverage of Canada and support a range of down-stream machine learning applications. Detailed lithological, mineralogical, metamorphic, lithostratigraphic, and lithodemic information was not previously available as one national-scale product. The source map data
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5

Tek, Muytieng, Sorsesekha Nok, and Phal Chea. Faculty Engagement in Cambodian Higher Education Internationalisation. Cambodia Development Resource Institute, 2022. https://doi.org/10.64202/wp.135.202212.

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Abstract:
Internationalisation is known to contribute to higher education development, particularly through the integration of international, inter-cultural or global dimensions into the purpose, functions, or delivery of higher education institutions (Knight 2004). Within this inter-connected world, higher education institutions are pressured to produce quality human resources with global citizenship characteristics. Students have benefited greatly from this process as they can have access to international/regional standards of education services and the opportunity to be exposed to other countries, pe
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