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Google Keyword Rankings for : grammatical methods in computer vision
1
https://smartech.gatech.edu/handle/1853/3738
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https://smartech.gatech.edu/handle/1853/3738
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2
https://dl.acm.org/doi/book/10.5555/2519635
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https://dl.acm.org/doi/book/10.5555/2519635
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3
https://search.proquest.com/openview/18b56cad2b53a56086793b713a0cd653/1?pq-origsite=gscholar&cbl=18750
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https://search.proquest.com/openview/18b56cad2b53a56086793b713a0cd653/1?pq-origsite=gscholar&cbl=18750
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4
https://cs.brown.edu/people/pfelzens/dissertations/epurdy-phd-dissertation.pdf
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https://cs.brown.edu/people/pfelzens/dissertations/epurdy-phd-dissertation.pdf
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5
https://openaccess.thecvf.com/content/ICCV2021/papers/Hong_VLGrammar_Grounded_Grammar_Induction_of_Vision_and_Language_ICCV_2021_paper.pdf
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https://openaccess.thecvf.com/content/ICCV2021/papers/Hong_VLGrammar_Grounded_Grammar_Induction_of_Vision_and_Language_ICCV_2021_paper.pdf
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6
https://romisatriawahono.net/lecture/rm/survey/computer%20vision/Pedro%20-%20Using%20Grammars%20for%20Pattern%20Recognition%20in%20Images%20-%202013.pdf
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https://romisatriawahono.net/lecture/rm/survey/computer%20vision/Pedro%20-%20Using%20Grammars%20for%20Pattern%20Recognition%20in%20Images%20-%202013.pdf
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7
http://people.cs.uchicago.edu/~rbg/papers/grammar-nips11.pdf
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http://people.cs.uchicago.edu/~rbg/papers/grammar-nips11.pdf
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8
https://geometry.stanford.edu/struco3d/papers/11.pdf
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https://geometry.stanford.edu/struco3d/papers/11.pdf
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9
https://ieeexplore.ieee.org/document/8186820
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https://ieeexplore.ieee.org/document/8186820
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10
https://arxiv.org/abs/1703.05571
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https://arxiv.org/abs/1703.05571
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11
https://www.researchgate.net/publication/256360762_A_New_Strategy_for_Applying_Grammatical_Inference_to_Image_Classification_Problems
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https://www.researchgate.net/publication/256360762_A_New_Strategy_for_Applying_Grammatical_Inference_to_Image_Classification_Problems
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12
https://www.ericmfischer.com/publication/book-2/book-2.pdf
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https://www.ericmfischer.com/publication/book-2/book-2.pdf
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13
https://ojs.aaai.org/index.php/AAAI/article/view/9023/8882
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https://ojs.aaai.org/index.php/AAAI/article/view/9023/8882
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14
https://link.springer.com/chapter/10.1007/11612032_16
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https://link.springer.com/chapter/10.1007/11612032_16
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15
https://people.csail.mit.edu/leozhu/paper/PGMM_NIPS06.pdf
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https://people.csail.mit.edu/leozhu/paper/PGMM_NIPS06.pdf
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16
https://www.tdx.cat/bitstream/handle/10803/6651/02_alquezarMancho_capitol1.pdf?sequence=2&isAllowed=y
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https://www.tdx.cat/bitstream/handle/10803/6651/02_alquezarMancho_capitol1.pdf?sequence=2&isAllowed=y
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17
https://en.wikipedia.org/wiki/Grammar_induction
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https://en.wikipedia.org/wiki/Grammar_induction
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18
http://www.stat.ucla.edu/~sczhu/papers/Reprint_Grammar.pdf
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http://www.stat.ucla.edu/~sczhu/papers/Reprint_Grammar.pdf
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19
https://www.sciencedirect.com/topics/computer-science/syntactic-pattern-recognition
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https://www.sciencedirect.com/topics/computer-science/syntactic-pattern-recognition
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20
https://www.tesisenred.net/bitstream/handle/10803/6651/11_alquezarMancho_capitol10.pdf?sequence=11&isAllowed=y
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https://www.tesisenred.net/bitstream/handle/10803/6651/11_alquezarMancho_capitol10.pdf?sequence=11&isAllowed=y
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21
https://par.nsf.gov/servlets/purl/10056964
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https://par.nsf.gov/servlets/purl/10056964
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22
https://www.techtarget.com/searchenterpriseai/definition/natural-language-processing-NLP
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https://www.techtarget.com/searchenterpriseai/definition/natural-language-processing-NLP
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23
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/doclearning_iccv2005.pdf
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https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/doclearning_iccv2005.pdf
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24
https://openreview.net/pdf/5c104842d13e8d6efd55b6d7c04f4373a39eae18.pdf
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https://openreview.net/pdf/5c104842d13e8d6efd55b6d7c04f4373a39eae18.pdf
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25
https://www.nowpublishers.com/article/DownloadSummary/CGV-018
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https://www.nowpublishers.com/article/DownloadSummary/CGV-018
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26
https://www.hindawi.com/journals/sp/2021/4213791/
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https://www.hindawi.com/journals/sp/2021/4213791/
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27
http://www.cteo.umiacs.io/public-shared/actiongrammar_preprint_IROS12.pdf
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http://www.cteo.umiacs.io/public-shared/actiongrammar_preprint_IROS12.pdf
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28
https://www.sysu-hcp.net/userfiles/files/2021/02/28/11376a44a5ed5996.pdf
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https://www.sysu-hcp.net/userfiles/files/2021/02/28/11376a44a5ed5996.pdf
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29
http://ieet.istu.ru/proceedings/IEET-2020/IEET-2020-4.pdf
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http://ieet.istu.ru/proceedings/IEET-2020/IEET-2020-4.pdf
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30
https://apps.dtic.mil/sti/citations/ADA052614
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https://apps.dtic.mil/sti/citations/ADA052614
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31
https://glosbe.com/en/en/computer%20vision
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https://glosbe.com/en/en/computer%20vision
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32
http://www.cs.toronto.edu/~sven/Papers/CVPR2020.pdf
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http://www.cs.toronto.edu/~sven/Papers/CVPR2020.pdf
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33
https://www.amazon.com/Stochastic-Grammar-Foundations-Computer-Graphics/dp/1601980604
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https://www.amazon.com/Stochastic-Grammar-Foundations-Computer-Graphics/dp/1601980604
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34
https://www.academia.edu/40814613/Research_on_Analytic_Algorithm_of_Building_Structure_Appearance_Based_on_Improved_Learning_Grammar
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https://www.academia.edu/40814613/Research_on_Analytic_Algorithm_of_Building_Structure_Appearance_Based_on_Improved_Learning_Grammar
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35
https://media.gradebuddy.com/documents/2324078/004bcf1a-691b-42a4-a00e-6d9508f6723e.pdf
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https://media.gradebuddy.com/documents/2324078/004bcf1a-691b-42a4-a00e-6d9508f6723e.pdf
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36
http://proceedings.mlr.press/v119/li20f/li20f.pdf
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http://proceedings.mlr.press/v119/li20f/li20f.pdf
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37
https://www.computer.org/csdl/proceedings-article/icse/2013/06606669/12OmNro0HZX
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https://www.computer.org/csdl/proceedings-article/icse/2013/06606669/12OmNro0HZX
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38
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716203/
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716203/
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39
https://ijaers.com/detail/research-on-analytic-algorithm-of-building-structure-appearance-based-on-improved-learning-grammar/
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https://ijaers.com/detail/research-on-analytic-algorithm-of-building-structure-appearance-based-on-improved-learning-grammar/
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40
https://ccc.inaoep.mx/~esucar/Articulos/Conf/ruiz-melendez-sucar-AGI-11.pdf
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https://ccc.inaoep.mx/~esucar/Articulos/Conf/ruiz-melendez-sucar-AGI-11.pdf
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41
https://upcommons.upc.edu/bitstream/handle/2117/93962/01_alquezarMancho_portadaIndex.pdf?sequence=1
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https://upcommons.upc.edu/bitstream/handle/2117/93962/01_alquezarMancho_portadaIndex.pdf?sequence=1
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42
http://linliang.net/wp-content/uploads/2017/07/PR_Grammar_2009.pdf
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http://linliang.net/wp-content/uploads/2017/07/PR_Grammar_2009.pdf
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43
http://papers.neurips.cc/paper/4236-image-parsing-with-stochastic-scene-grammar.pdf
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http://papers.neurips.cc/paper/4236-image-parsing-with-stochastic-scene-grammar.pdf
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44
https://builtin.com/data-science/introduction-nlp
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https://builtin.com/data-science/introduction-nlp
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45
https://paperswithcode.com/paper/from-visual-words-to-a-visual-grammar-using/review/
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https://paperswithcode.com/paper/from-visual-words-to-a-visual-grammar-using/review/
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46
https://phys.org/news/2022-04-machine-learning-method-learnable-chemical-grammar.html
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https://phys.org/news/2022-04-machine-learning-method-learnable-chemical-grammar.html
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47
https://www.marktechpost.com/2022/04/05/researchers-at-mit-and-ibm-propose-an-efficient-machine-learning-method-that-uses-graph-grammar-to-generate-new-molecules/
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https://www.marktechpost.com/2022/04/05/researchers-at-mit-and-ibm-propose-an-efficient-machine-learning-method-that-uses-graph-grammar-to-generate-new-molecules/
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48
https://hal.archives-ouvertes.fr/hal-03561457/document
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https://hal.archives-ouvertes.fr/hal-03561457/document
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49
https://github.com/christianversloot/machine-learning-articles/blob/main/easy-grammar-error-detection-correction-with-machine-learning.md
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https://github.com/christianversloot/machine-learning-articles/blob/main/easy-grammar-error-detection-correction-with-machine-learning.md
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50
https://www.wikiwand.com/en/Grammar_induction
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https://www.wikiwand.com/en/Grammar_induction
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51
https://sol.sbc.org.br/index.php/eniac/article/view/4406
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https://sol.sbc.org.br/index.php/eniac/article/view/4406
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52
https://homes.cs.washington.edu/~pedrod/papers/nips18.pdf
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https://homes.cs.washington.edu/~pedrod/papers/nips18.pdf
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53
https://www.turing.ac.uk/research/research-projects/urban-grammar
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https://www.turing.ac.uk/research/research-projects/urban-grammar
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54
https://www.umiacs.umd.edu/publications/attribute-grammar-based-event-recognition-and-anomaly-detection
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https://www.umiacs.umd.edu/publications/attribute-grammar-based-event-recognition-and-anomaly-detection
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55
https://foodeng.wisc.edu/images/publications/1999-11.pdf
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https://foodeng.wisc.edu/images/publications/1999-11.pdf
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56
https://www.ijcai.org/Proceedings/16/Papers/484.pdf
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https://www.ijcai.org/Proceedings/16/Papers/484.pdf
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57
https://www.mdpi.com/2076-3417/10/11/3953/pdf-vor
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https://www.mdpi.com/2076-3417/10/11/3953/pdf-vor
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58
https://digital.csic.es/bitstream/10261/30178/1/doc1.pdf
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https://digital.csic.es/bitstream/10261/30178/1/doc1.pdf
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59
https://www.degruyter.com/document/doi/10.1515/jisys-2022-0013/html?lang=en
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https://www.degruyter.com/document/doi/10.1515/jisys-2022-0013/html?lang=en
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60
https://www.cv-foundation.org/openaccess/content_cvpr_2014/html/Vo_From_Stochastic_Grammar_2014_CVPR_paper.html
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https://www.cv-foundation.org/openaccess/content_cvpr_2014/html/Vo_From_Stochastic_Grammar_2014_CVPR_paper.html
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61
https://www.quora.com/Has-machine-learning-been-used-on-grammar
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https://www.quora.com/Has-machine-learning-been-used-on-grammar
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62
https://www.cambridge.org/core/journals/ai-edam/article/spatial-grammar-implementation-from-theory-to-useable-software/CD130E8EC933F74FD79B55A47B50AFE1
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https://www.cambridge.org/core/journals/ai-edam/article/spatial-grammar-implementation-from-theory-to-useable-software/CD130E8EC933F74FD79B55A47B50AFE1
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63
https://edisciplinas.usp.br/pluginfile.php/5655161/mod_resource/content/1/Stochastic%20Regular%20Grammar-based%20Learning%20for%20Basic%20Dance%20Motion%20Recognition.pdf
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https://edisciplinas.usp.br/pluginfile.php/5655161/mod_resource/content/1/Stochastic%20Regular%20Grammar-based%20Learning%20for%20Basic%20Dance%20Motion%20Recognition.pdf
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64
https://www.amazon.science/blog/new-approach-to-language-modeling-reduces-speech-recognition-errors-by-up-to-15
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https://www.amazon.science/blog/new-approach-to-language-modeling-reduces-speech-recognition-errors-by-up-to-15
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65
http://www.bmva.org/bmvc/2002/papers/38/full_38.pdf
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http://www.bmva.org/bmvc/2002/papers/38/full_38.pdf
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66
http://home.ustc.edu.cn/~pjh/publications/BigMM2019Deep/paper.pdf
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http://home.ustc.edu.cn/~pjh/publications/BigMM2019Deep/paper.pdf
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67
https://www.ibm.com/cloud/learn/natural-language-processing
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https://www.ibm.com/cloud/learn/natural-language-processing
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68
https://www.analyticsvidhya.com/blog/2021/06/part-12-step-by-step-guide-to-master-nlp-grammar-in-nlp/
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https://www.analyticsvidhya.com/blog/2021/06/part-12-step-by-step-guide-to-master-nlp-grammar-in-nlp/
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69
https://experts.illinois.edu/en/publications/joint-learning-and-inference-for-grammatical-error-correction
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https://experts.illinois.edu/en/publications/joint-learning-and-inference-for-grammatical-error-correction
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70
http://www.cvc.uab.es/blog/2010/06/18/a-syntactic-pattern-recognition-approach-based-on-a-distribution-tolerant-adjacency-grammar-and-a-spatial-indexed-parser-application-to-sketched-document-recognition/
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http://www.cvc.uab.es/blog/2010/06/18/a-syntactic-pattern-recognition-approach-based-on-a-distribution-tolerant-adjacency-grammar-and-a-spatial-indexed-parser-application-to-sketched-document-recognition/
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71
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008334
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https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008334
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72
https://www.booktopia.com.au/a-stochastic-grammar-of-images-song-chun-zhu/book/9781601980601.html
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https://www.booktopia.com.au/a-stochastic-grammar-of-images-song-chun-zhu/book/9781601980601.html
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73
https://aclanthology.org/C14-1115.pdf
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https://aclanthology.org/C14-1115.pdf
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74
http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_WCCI_2020/CEC/Papers/E-24460.pdf
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http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_WCCI_2020/CEC/Papers/E-24460.pdf
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75
https://slideplayer.com/slide/8947865/
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https://slideplayer.com/slide/8947865/
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76
https://experts.arizona.edu/en/publications/a-synchronous-context-free-grammar-for-time-normalization
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https://experts.arizona.edu/en/publications/a-synchronous-context-free-grammar-for-time-normalization
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77
https://www.waterstones.com/book/a-stochastic-grammar-of-images/song-chun-zhu/david-mumford/9781601980601
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https://www.waterstones.com/book/a-stochastic-grammar-of-images/song-chun-zhu/david-mumford/9781601980601
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78
https://towardsdatascience.com/deep-learning-models-for-grammatical-error-handling-in-low-resource-languages-2ac2c5d154f5
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https://towardsdatascience.com/deep-learning-models-for-grammatical-error-handling-in-low-resource-languages-2ac2c5d154f5
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79
https://bdtechtalks.com/2019/10/17/grammarly-ai-assistant-grammar-checker/
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https://bdtechtalks.com/2019/10/17/grammarly-ai-assistant-grammar-checker/
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80
https://www.sas.com/en_us/insights/analytics/computer-vision.html
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https://www.sas.com/en_us/insights/analytics/computer-vision.html
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81
https://www.youtube.com/watch?v=jJSlXOOlY7U
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https://www.youtube.com/watch?v=jJSlXOOlY7U
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82
https://ascomfidinordovest.it/cse-252a.html
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https://ascomfidinordovest.it/cse-252a.html
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83
https://www.geeksforgeeks.org/ai-phrase-and-grammar-structure-in-natural-language/
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https://www.geeksforgeeks.org/ai-phrase-and-grammar-structure-in-natural-language/
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84
https://valg.ida.dk/readfile?articleid=F76682p&File=problem%20solution%20research%20paper%20example%20pdf.pdf
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https://valg.ida.dk/readfile?articleid=F76682p&File=problem%20solution%20research%20paper%20example%20pdf.pdf
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85
https://stackoverflow.com/questions/10050300/how-do-people-prove-the-correctness-of-computer-vision-methods
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https://stackoverflow.com/questions/10050300/how-do-people-prove-the-correctness-of-computer-vision-methods
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86
https://jeas.springeropen.com/articles/10.1186/s44147-022-00159-4
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https://jeas.springeropen.com/articles/10.1186/s44147-022-00159-4
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87
https://deeplearninganalytics.org/nlp-building-a-grammatical-error-correction-model/
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https://deeplearninganalytics.org/nlp-building-a-grammatical-error-correction-model/
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88
https://m.pelicanhill.com/trackid?article=28738&FileName=English%20In%20Mind%201a%20Second%20Edition%20Cambridge.pdf
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https://m.pelicanhill.com/trackid?article=28738&FileName=English%20In%20Mind%201a%20Second%20Edition%20Cambridge.pdf
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89
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