Gotowe bibliografie tematyczne / Text

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Text”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 25 lipca 2025

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Artykuły w czasopismach na temat "Text"

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LOW, G. D. "FROM TEXT TO TEST." World Englishes 4, no. 1 (1985): 180–83. http://dx.doi.org/10.1111/j.1467-971x.1985.tb00400.x.

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Reddy, Mr B. Ravinder, J. Nandini, and P. Sowmya Y. Sathwik. "Handwritten Text Recognition and Digital Text Conversion." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 1826–27. http://dx.doi.org/10.31142/ijtsrd23508.

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Theunissen, T. J. J. M. "Text banking and test design." Language Testing 4, no. 1 (1987): 1–8. http://dx.doi.org/10.1177/026553228700400101.

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Kumar HM, Prashanth, and Subramanya Bhat B. "Implementation of Converting Unicode Text to Original Text." International Journal of Scientific Engineering and Research 12, no. 1 (2024): 12–16. https://doi.org/10.70729/se231222125142.

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Soboleva, Ya S., S. Šandalová, A. V. Sobolev, and I. A. Presnyakov. "Probe Mössbauer Study of Magnetically Ordered Manganite $${\text{ScMn}}_{{{\text{0}}{\text{.996}}}}^{{{\text{57}}}}{\text{F}}{{{\text{e}}}_{{{\text{0}}{\text{.004}}}}}{{{\text{O}}}_{{\text{3}}}}$$." Inorganic Materials 60, no. 10 (2024): 1226–30. https://doi.org/10.1134/s0020168524701619.

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Cope, Bill, and Mary Kalantzis. "Text-Made Text." E-Learning and Digital Media 1, no. 2 (2004): 198–282. http://dx.doi.org/10.2304/elea.2004.1.2.4.

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Vössing, J., C. Stamov-Roßnagel, and K. Heinitz. "Text difficulty affects metacomprehension accuracy and knowledge test performance in text learning." Journal of Computer Assisted Learning 33, no. 3 (2017): 282–91. http://dx.doi.org/10.1111/jcal.12179.

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Sundberg, Norman D. "A Text for Future Test Users." Contemporary Psychology: A Journal of Reviews 30, no. 3 (1985): 203–4. http://dx.doi.org/10.1037/023632.

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Mohammed Ali, Kawthar, and Diaa Abdul Razzaq Alani. "THE CHARACTER BETWEEN READING TEXT AND VISUAL TEXT(2000-2017)." Journal of The University of Duhok 22, no. 1 (2019): 358–68. http://dx.doi.org/10.26682/hjuod.2019.22.1.19.

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Sarangi, Srikant. "Editorial: Text & Talk." Text - Interdisciplinary Journal for the Study of Discourse 25, no. 1 (2005): 1–5. http://dx.doi.org/10.1515/text.2005.25.1.1.

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Rozprawy doktorskie na temat "Text"

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Berio, Luciano. "Text of Texts." Bärenreiter Verlag, 1998. https://slub.qucosa.de/id/qucosa%3A36791.

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El, Morabit Karim [Verfasser], and U. [Akademischer Betreuer] Husemann. "Measurement of $\textt}\bar\text{t}}\text{H}(\text{H}\rightarrow \text{b}\bar{\text{b}})$ production in the semi-leptonic $\text{t}\bar{\text{t}}$ decay channel at the CMS Experiment / Karim El Morabit ; Betreuer: U. Husemann." Karlsruhe : KIT-Bibliothek, 2021. http://d-nb.info/1238147801/34.

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Beaulieu, Derek. "Text without text : concrete poetry and conceptual writing." Thesis, University of Roehampton, 2015. https://pure.roehampton.ac.uk/portal/en/studentthesis/text-without-text(9881aca7-f74a-4f6e-b8d2-58d83c01d7ae).html.

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Concrete poetry has been posited as the only truly international poetic movement of the 20th Century, with Conceptual writing receiving the same cultural location for the 21st-Century. Both forms are dedicated to a materiality of textual production, a poetic investigation into how language occupies space. My dissertation, Text Without Text: Concrete Poetry and Conceptual Writing consists of three chapters: “Dirty”, “Clean” and Conceptual.” Chapter One outlines how degenerated text features in Canadian avant-garde poetics and how my own work builds upon traditions formulated by Canadian poets b
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Haggren, Hugo. "Text Similarity Analysis for Test Suite Minimization." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290239.

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Software testing is the most expensive phase in the software development life cycle. It is thus understandable why test optimization is a crucial area in the software development domain. In software testing, the gradual increase of test cases demands large portions of testing resources (budget and time). Test Suite Minimization is considered a potential approach to deal with the test suite size problem. Several test suite minimization techniques have been proposed to efficiently address the test suite size problem. Proposing a good solution for test suite minimization is a challenging task, wh
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Ly, Man Dan. "Text to features for Swedish text." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-396578.

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In text mining, texts are usually transformed into numerical vectors or feature vectors, before they are given to a machine learning algorithm for text classification. In this project, a set of features for classifying tweets in Swedish was created. The following classification tasks were selected: gender, age and political party prediction, sentiment analysis and authorship attribution, which is the task of determining if a text was written by a particular author or not. Relevant previous studies were researched and a suitable subset of features used in those studies were chosen. A tool was d
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Jung, Ki-Ho. "Text." Hannover : Techn. Univ, 1988. http://www.gbv.de/dms/weimar/toc/12547072X_toc.pdf.

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Wilson, Christin M. L. "Variation and Text Type in Old Occitan Texts." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1331136026.

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SOARES, FABIO DE AZEVEDO. "AUTOMATIC TEXT CATEGORIZATION BASED ON TEXT MINING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23213@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>A Categorização de Documentos, uma das tarefas desempenhadas em Mineração de Textos, pode ser descrita como a obtenção de uma função que seja capaz de atribuir a um documento uma categoria a que ele pertença. O principal objetivo de se construir uma taxonomia de documentos é tornar mais fácil a obtenção de informação relevante. Porém, a implementação e a execução de um processo de Categorização de Documentos não é uma tarefa trivial: as ferramentas de Mineração de Textos estão
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Baker, Simon. "Semantic text classification for cancer text mining." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275838.

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Cancer researchers and oncologists benefit greatly from text mining major knowledge sources in biomedicine such as PubMed. Fundamentally, text mining depends on accurate text classification. In conventional natural language processing (NLP), this requires experts to annotate scientific text, which is costly and time consuming, resulting in small labelled datasets. This leads to extensive feature engineering and handcrafting in order to fully utilise small labelled datasets, which is again time consuming, and not portable between tasks and domains. In this work, we explore emerging neural netwo
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Powers, Harold S. "Music as Text and Text as Music." Bärenreiter Verlag, 1998. https://slub.qucosa.de/id/qucosa%3A36794.

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Książki na temat "Text"

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Sybil, Dümchen, Nerlich Michael, and Technische Universität Berlin. Institut für Romanische Literaturwissenschaft., eds. Texte-image =: Bild-Text. Technische Universität Berlin, Institut für Romanische Literaturwissenschaft, 1990.

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Bauks, Michaela, Wayne Horowitz, and Armin Lange, eds. Between Text and Text. Vandenhoeck & Ruprecht, 2013. http://dx.doi.org/10.13109/9783666550256.

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1953-, McDowall John, Taylor Chris, and Wild Pansy Press, eds. Text / image =: Image / text. Wild Pansy Press, University of Leeds, 2004.

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Guy, Denhière, and Rossi Jean-Pierre, eds. Text and text processing. North-Holland, 1991.

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Ewers, Hans-Heino. Bild/Text – Text/Bild. Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-69592-0.

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W, Halsall A., Rutland R. B, Centre TADAC, and Carleton University, eds. Text and ideology =: Texte et idéologie. Centre for Textual Analysis, Discourse and Culture, Carleton University, 1988.

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Stein, Charles. Text-Sound Texts. Barrytown Limited, 2002.

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Bertsch, Werner J. Washington D. C. Souvenir Book: English Text - Texte Francais - Deutscher Text - Texto Espanol. L. B. Prince Company, Incorporated, 1992.

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Wonderful Copenhagen (Souvenir Guide Book: English Text, Deutescher Text, Texte Francais, Texto Esponol). Grolund Publishers DK, 1989.

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Jensen, Muriel. Texts to Text Im. Longman, 1994.

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Części książek na temat "Text"

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Louis, Dirk, and Peter Müller. "Text, Text, Text." In Java. Carl Hanser Verlag GmbH & Co. KG, 2014. http://dx.doi.org/10.3139/9783446438347.011.

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Louis, Dirk, and Peter Müller. "Text, Text, Text." In Java. Carl Hanser Verlag GmbH & Co. KG, 2018. http://dx.doi.org/10.3139/9783446453623.011.

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McAllister-Viel, Tara. "Text/vocal text." In Training Actors’ Voices. Routledge, 2018. http://dx.doi.org/10.4324/9781315109718-7.

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Klein, Holger. "Main Text, Side Text, Frame Text." In J. B. Priestley’s Plays. Palgrave Macmillan UK, 1988. http://dx.doi.org/10.1007/978-1-349-03290-7_2.

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Garfinkel, Simson L., and Michael K. Mahoney. "Text and Rich Text." In NeXTSTEP™ PROGRAMMING. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4613-9275-0_12.

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Biemann, Chris, Gerhard Heyer, and Uwe Quasthoff. "Text und Text Mining." In Wissensrohstoff Text. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-35969-0_1.

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Hamann, Sabine, Hauke Hell, Detlef Pankow, and Robert Wunderer. "Text." In DigiScript™. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-46829-2_10.

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Shimin, Geng, Hans-Joachim Klimkeit, and Jens Peter Laut. "Text." In Eine Buddhistische Apokalypse. VS Verlag für Sozialwissenschaften, 1998. http://dx.doi.org/10.1007/978-3-322-84082-0_2.

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Green, Tom, and Tiago Dias. "Text." In Foundation Flash CS5 for Designers. Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-2995-7_6.

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Chabás, José, and Bernard R. Goldstein. "Text." In Archimedes. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0213-3_2.

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Streszczenia konferencji na temat "Text"

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Shafiev, Tursun, Ilkhom Bakaev, Khamza Eshankulov, and Shakhod Nazarov. "Organizing full-text search in texts." In Fourth International Conference on Optics, Computer Applications, and Materials Science (CMSD-IV 2024), edited by Arthur Gibadullin and Ramazon Abdullozoda. SPIE, 2025. https://doi.org/10.1117/12.3061947.

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Agrawal, Poorva, Kashish Sharma, Keyur Dhage, Isha Sharma, Nitin Rakesh, and Gagandeep Kaur. "Speech-to-Text Conversion and Text Summarization." In 2024 First International Conference on Technological Innovations and Advance Computing (TIACOMP). IEEE, 2024. http://dx.doi.org/10.1109/tiacomp64125.2024.00094.

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Ferhat, Zeyd, Abir Betka, Riyadh Barka, et al. "Functional Text Dimensions for Arabic Text Classification." In Proceedings of The Second Arabic Natural Language Processing Conference. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.arabicnlp-1.29.

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Dumne, Rakhi, Nitin L. Gavankar, Madhav M. Bokare, and Vivek N. Waghmare. "Automatic Text Summarization using Text Rank Algorithm." In 2024 3rd International Conference for Advancement in Technology (ICONAT). IEEE, 2024. https://doi.org/10.1109/iconat61936.2024.10775241.

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Canelón, Rodolfo, Francisco Cruz, and Irisysleyer Barrios. "A text mining-based method for domains using AI generative text-to-text." In 2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI). IEEE, 2024. https://doi.org/10.1109/la-cci62337.2024.10814840.

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Knolle, Joscha. "Rare top quark production at the LHC: $\text{t}\bar{\text{t}}\text{Z}$, $\text{t}\bar{\text{t}}\text{W}$, $\text{t}\bar{\text{t}}\gamma$, $\text{tZq}$, $\text{t}\gamma\text{q}$, and $\text{t}\bar{\text{t}}\text{t}\bar{\text{t}}$." In XXVII International Workshop on Deep-Inelastic Scattering and Related Subjects. Sissa Medialab, 2019. http://dx.doi.org/10.22323/1.352.0157.

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Fuadi, Mukhlish, and Adhi Dharma Wibawa. "Automatic Question Generation from Indonesian Texts Using Text-to-Text Transformers." In 2022 International Conference on Electrical and Information Technology (IEIT). IEEE, 2022. http://dx.doi.org/10.1109/ieit56384.2022.9967858.

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Usai, Emanuele. "Determination of $\kappa_\text{t}$ from $\text{t}\bar{\text{t}}$, $\text{t}\bar{\text{t}}\text{t}\bar{\text{t}}$, and others." In The Ninth Annual Conference on Large Hadron Collider Physics. Sissa Medialab, 2021. http://dx.doi.org/10.22323/1.397.0074.

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Luise, M. Daniela López De, and Mariana Soffer. "Automatic Text Processing for Spanish Texts." In 2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA). IEEE, 2008. http://dx.doi.org/10.1109/cerma.2008.50.

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Dubničková, A. Z., S. Dubnička, and R. Baldini-Ferroli. "THE $ {\text{e}}^ + {\text{e}}^ - \, \to \,\overline {\text{n}} \,{\text{n}} $ CROSS SECTION PREDICTED REMARKABLY LARGER THAN THE $ {\text{e}}^ + {\text{e}}^ - \, \to \,\overline {\text{p}} \,{\text{p}} $ONE." In Proceedings of the International Seminar. WORLD SCIENTIFIC, 1991. http://dx.doi.org/10.1142/9789814439336_0053.

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Raporty organizacyjne na temat "Text"

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Spirling, Arthur. Text Analysis: Text as Data with R. Instats Inc., 2022. http://dx.doi.org/10.61700/a52fcasdqm1du469.

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This seminar introduces “text as data” statistical methods using R. The course is very applied, with the primary aim of helping social science researchers understand the types of questions we can ask with text, and how to answer them. The seminar covers how texts may be modeled and compared as quantitative entities, and then moves to supervised and unsupervised methods—including topic models and embeddings. At the seminar's conclusion, participants will know how conduct their own text as data research projects. An official Instats certificate of completion is provided at the conclusion of the
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Spirling, Arthur. Text Analysis: Text as Data with R. Instats Inc., 2022. http://dx.doi.org/10.61700/lolq2hyg9sn6d469.

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This seminar introduces “text as data” statistical methods using R. The course is very applied, with the primary aim of helping social science researchers understand the types of questions we can ask with text, and how to answer them. The seminar covers how texts may be modeled and compared as quantitative entities, and then moves to supervised and unsupervised methods—including topic models and embeddings. At the seminar's conclusion, participants will know how conduct their own text as data research projects. An official Instats certificate of completion is provided at the conclusion of the
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Kelly, Bryan, Asaf Manela, and Alan Moreira. Text Selection. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26517.

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Gentzkow, Matthew, Bryan Kelly, and Matt Taddy. Text as Data. National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w23276.

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Gillies, S. GeoJSON Text Sequences. RFC Editor, 2017. http://dx.doi.org/10.17487/rfc8142.

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Iyer, Hari. 2024 NIST GenAI (Pilot Study): Text-to-Text Evaluation Results. National Institute of Standards and Technology, 2025. https://doi.org/10.6028/nist.ir.8580.

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Kostoff, Ronald N., Henry A. Buchtel, John Andrews, and Kirstin M. Pfeil. Science and Technology Text Mining: Text Mining of the Journal Cortex. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada425249.

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Griffiths, Rachael M. Handwritten Text Recognition (HTR) for Tibetan Manuscripts in Cursive Script. Verlag der Österreichischen Akademie der Wissenschaften, 2024. http://dx.doi.org/10.1553/tibschol_erc_htr.

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The use of advanced computational methods for the analysis of digitised texts is becoming increasingly popular in humanities and social science research. One such technology is Handwritten Text Recognition (HTR), which generates transcripts from digitised texts with machine learning approaches, to enable full-text search and analysis. Up to now, HTR models for Tibetan manuscripts in cursive script have not been available. This paper introduces work carried out as part of the The Dawn of Tibetan Buddhist Scholasticism (11th-13th) TibSchol) project at the Austrian Academy of Sciences, which is u
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Hobbs, Jerry R. Research in Text Processing. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada259434.

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Miller, Robert C. Lightweight Structure in Text. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada459021.

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