Academic literature on the topic 'Text Paraphrasing'
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Journal articles on the topic "Text Paraphrasing"
Azis, Wildan Abdul, Yanti Suryanti, and Entis Sutisna. "Students Difficulties to Write Paraphrasing Text and Summarizing Text." Pedagogia: Jurnal Ilmiah Pendidikan 11, no. 1 (July 1, 2019): 84–87. http://dx.doi.org/10.55215/pedagogia.v11i1.7196.
Full textFitria, Tira Nur. "QuillBot as an online tool: Students’ alternative in paraphrasing and rewriting of English writing." Englisia: Journal of Language, Education, and Humanities 9, no. 1 (November 7, 2021): 183. http://dx.doi.org/10.22373/ej.v9i1.10233.
Full textEt.al, Tien-Ping, Tan. "Translating IdiomsusingParaphrasing, Machine Translation and Rescoring." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 11, 2021): 1942–46. http://dx.doi.org/10.17762/turcomat.v12i3.1027.
Full textHagaman, Jessica L., and Kathryn J. Casey. "Paraphrasing Strategy Instruction in Content Area Text." Intervention in School and Clinic 52, no. 4 (September 24, 2016): 210–17. http://dx.doi.org/10.1177/1053451216659468.
Full textAnsorge, Libor, Klára Ansorgeová, and Mark Sixsmith. "Plagiarism through Paraphrasing Tools—The Story of One Plagiarized Text." Publications 9, no. 4 (October 20, 2021): 48. http://dx.doi.org/10.3390/publications9040048.
Full textNurhidayati, Nurhidayati, and Pabiyah Toklubok @ Hajimaming. "Communication Strategy On Students' Written Arabic Text." Izdihar : Journal of Arabic Language Teaching, Linguistics, and Literature 4, no. 3 (December 31, 2021): 335–52. http://dx.doi.org/10.22219/jiz.v4i3.17585.
Full textKaneko, Nozomu, and Takehisa Onisawa. "Application of Paraphrasing to Programming with Linguistic Expressions." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 6 (November 20, 2006): 830–37. http://dx.doi.org/10.20965/jaciii.2006.p0830.
Full textPolat, Yahya, Satylmysh Bajak, and Ainuska Zhumaeva. "A New Approach for Paraphrasing and Rewording a Challenging Text." Arab World English Journal 12, no. 2 (June 15, 2021): 158–68. http://dx.doi.org/10.24093/awej/vol12no2.11.
Full textPratama, Yoga, Anjar Prawesti, and Fridolini. "AN ANALYSIS OF STUDENTS’ WRITING SKILLS IN PARAPHRASING: A CASE STUDY OF THE 5TH-SEMESTER DIPLOMA STUDENTS OF ENGLISH LANGUAGE AND CULTURE DEPARTMENT OF DARMA PERSADA UNIVERSITY." Getsempena English Education Journal 9, no. 1 (July 19, 2022): 13–28. http://dx.doi.org/10.46244/geej.v9i1.1711.
Full textHidayati, Daeli. "The Effect of Paraphrasing Strategy on the Students’ Ability in Comprehending Narrative Text at the Eighth Grade of SMP Negeri 1 Mandrehe." Explora 8, no. 1 (May 9, 2022): 25–42. http://dx.doi.org/10.51622/explora.v8i1.532.
Full textDissertations / Theses on the topic "Text Paraphrasing"
Matsubara, Shigeki, Tomohiro Ohno, and Masashi Ito. "Text Editing for Lecture Speech Archiving on the Web." Springer, 2009. http://hdl.handle.net/2237/15114.
Full textMatsubara, Shigeki, Tomohiro Ohno, and Masashi Ito. "Text-Style Conversion of Speech Transcript into Web Document for Lecture Archive." Fuji Technology Press, 2009. http://hdl.handle.net/2237/15083.
Full textHsieh, Chi-Chang, and 謝其璋. "Filtering explicit text content with deep learning techniques based paraphrasing." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/gse596.
Full text中原大學
資訊工程研究所
107
The prosperity of social media has made information transmission more quick. Now, the speed of getting new information is faster than newspapers or magazines, but it also means that the content of the text may be full of pornography, violence, drug, racial discrimination, gender discrimination, etc. The explicit text is different from the grading system of movies or book. The text on the Internet cannot be filtered. It is often only through the administrator or the reporting system that the explicit text can be removed. The purpose of this experiment is to use the deep learning to filter explicit text and paraphrase them. In this experiment, because there is no parallel corpus with explicit text, so we use the explicit text dataset with different parallel corpora from Quora, CoCo, and MSRP datasets to produce a corpus with explicit text. The deep learning method is trained to produce a model that can filter explicit text and paraphrase them. In Experiment 1, we trained by Residual LSTM, LSTM, and Gru, and used BLEU and ROUGE automatic evaluation methods to evaluate which model is better. In Experiment 2, we use Quora dataset to make a questionnaire and sent to 5 subjects for manual evaluation. Finally, the results were compared with the results of Experiment 1. The results show that our methods can effectively remove explicit text after deep learning methods, but the effect of paraphrasing has room for improvement. In Experiment 1, we used BLEU and ROUGE to do automatic evaluation. Gru is better than Residual LSTM and LSTM in the results. In Experiment 2, we used the manual evaluation method of the questionnaire to evaluate. The results showed that the Residual LSTM was highly consistent in the subjects. In the paraphrase evaluation, only the first step of the test can be performed in an automatic evaluation, which can ensure the completeness of the sentence, but it is necessary to select which deep learning method is better still need a manual evaluation method to detect.
Zugarini, Andrea. "Language Models for Text Understanding and Generation." Doctoral thesis, 2021. http://hdl.handle.net/2158/1238004.
Full textTsedryk, Alexandra. "Didactique de la paraphrase : évaluation et développement de la compétence paraphrastique chez l'apprenant de français langue seconde." 2013. http://hdl.handle.net/10222/16013.
Full textBooks on the topic "Text Paraphrasing"
Summarizing, paraphrasing, and retelling: Skills for better reading, writing, and test taking. Portsmouth, NH: Heinemann, 2006.
Find full textParaphrasing Texts and Words (Chinese Edition). Zhonghua Book Company, 2009.
Find full textBook chapters on the topic "Text Paraphrasing"
Pears, Richard, and Graham Shields. "Quoting, paraphrasing and summarising in your text." In Cite them right, 8–10. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-27313-0_3.
Full textVogel, Liane, and Lucie Flek. "Investigating Paraphrasing-Based Data Augmentation for Task-Oriented Dialogue Systems." In Text, Speech, and Dialogue, 476–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16270-1_39.
Full textKermanidis, Katia Lida, and Emmanouil Magkos. "Empirical Paraphrasing of Modern Greek Text in Two Phases: An Application to Steganography." In Computational Linguistics and Intelligent Text Processing, 535–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00382-0_43.
Full textKim, Mi-Young, Ying Xu, Yao Lu, and Randy Goebel. "Question Answering of Bar Exams by Paraphrasing and Legal Text Analysis." In New Frontiers in Artificial Intelligence, 299–313. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61572-1_20.
Full textKumar, Niraj. "A Graph Based Automatic Plagiarism Detection Technique to Handle Artificial Word Reordering and Paraphrasing." In Computational Linguistics and Intelligent Text Processing, 481–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54903-8_40.
Full textBarreiro, Anabela. "SPIDER: A System for Paraphrasing in Document Editing and Revision — Applicability in Machine Translation Pre-editing." In Computational Linguistics and Intelligent Text Processing, 365–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19437-5_30.
Full textOlney, Andrew M. "Paraphrasing Academic Text: A Study of Back-Translating Anatomy and Physiology with Transformers." In Lecture Notes in Computer Science, 279–84. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78270-2_50.
Full textKermanidis, Katia Lida. "Extracting Shallow Paraphrasing Schemata from Modern Greek Text Using Statistical Significance Testing and Supervised Learning." In Grammatical Inference: Theoretical Results and Applications, 297–300. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15488-1_30.
Full textRossi, Silvia Luisa. "Revisioning Paraphrasing Instruction." In Academic Integrity in Canada, 411–29. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83255-1_21.
Full textGambarotto, Andrea. "Correction to: Vital Forces, Teleology and Organization." In History, Philosophy and Theory of the Life Sciences, C1—C7. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-65415-7_6.
Full textConference papers on the topic "Text Paraphrasing"
Maddela, Mounica, Fernando Alva-Manchego, and Wei Xu. "Controllable Text Simplification with Explicit Paraphrasing." In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.naacl-main.277.
Full textZhang, Chi, Shagan Sah, Thang Nguyen, Dheeraj Peri, Alexander Loui, Carl Salvaggio, and Raymond Ptucha. "Semantic sentence embeddings for paraphrasing and text summarization." In 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2017. http://dx.doi.org/10.1109/globalsip.2017.8309051.
Full textJin, Cong, Dan Zhang, and Min Pan. "Chinese Text Information Hiding Based on Paraphrasing Technology." In 2010 International Conference of Information Science and Management Engineering. IEEE, 2010. http://dx.doi.org/10.1109/isme.2010.61.
Full textPatil, Annapurna P., Shreekant Jere, Reshma Ram, and Shruthi Srinarasi. "T5W: A Paraphrasing Approach to Oversampling for Imbalanced Text Classification." In 2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2022. http://dx.doi.org/10.1109/conecct55679.2022.9865812.
Full textKonodyuk, Nikita. "Prompt Tuning for Text Detoxification." In Dialogue. RSUH, 2022. http://dx.doi.org/10.28995/2075-7182-2022-21-1089-1096.
Full textAl-Shboul, Bashar, Duha Al-Darras, and Dana Al-Qudah. "A Semantic Text Expansion for Paraphrasing Identification in Arabic Microblog Posts." In MEDES '22: International Conference on Management of Digital EcoSystems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3508397.3564848.
Full textTurkerud, Ingrid Ravn, and Ole Jakob Mengshoel. "Image Captioning using Deep Learning: Text Augmentation by Paraphrasing via Backtranslation." In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2021. http://dx.doi.org/10.1109/ssci50451.2021.9659834.
Full textMirshekari, Mostafa, Jing Gu, and Aaron Sisto. "ConQuest: Contextual Question Paraphrasing through Answer-Aware Synthetic Question Generation." In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021). Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.wnut-1.25.
Full textKermanidis, Katia Lida. "Hiding Secret Information by Automatically Paraphrasing Modern Greek Text with Minimal Resources." In 2010 22nd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2010. http://dx.doi.org/10.1109/ictai.2010.135.
Full textGu, Yunfan, yang yuqiao, and Zhongyu Wei. "Extract, Transform and Filling: A Pipeline Model for Question Paraphrasing based on Template." In Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-5514.
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