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61
Правила генерации глагольных словоформ для новописьменного варианта ливвиковского наречия ...
Krizhanovskaya, Natalia; Novak, Irina. - : figshare, 2022
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62
Правила генерации глагольных словоформ для новописьменного варианта ливвиковского наречия ...
Krizhanovskaya, Natalia; Novak, Irina. - : figshare, 2022
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63
Правила генерации глагольных словоформ для новописьменного варианта ливвиковского наречия ...
Krizhanovskaya, Natalia; Novak, Irina. - : figshare, 2022
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64
Правила генерации глагольных словоформ для новописьменного варианта ливвиковского наречия ...
Krizhanovskaya, Natalia; Novak, Irina. - : figshare, 2022
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65
What makes video difficult for language learners? ...
Alghamdi, Emad. - : figshare, 2022
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66
What makes video difficult for language learners? ...
Alghamdi, Emad. - : figshare, 2022
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67
What makes video difficult for language learners? ...
Alghamdi, Emad. - : figshare, 2022
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68
Lexica corpus (v2.0) ...
Hewett, Freya; Stede, Manfred. - : Zenodo, 2022
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69
Lexica corpus (v2.0) ...
Hewett, Freya; Stede, Manfred. - : Zenodo, 2022
Abstract: Second release of the lexica corpus: a corpus for German text simplification, total size now 3270 files. The corpus consists of approximately 3300 texts from three Wiki-based lexica in German language: MiniKlexikon, Klexikon and Wikipedia. The articles in the Wikis are created by volunteers and can be written, discussed, and improved upon collaboratively. Klexikon is aimed specifically at children aged between 6 and 12 and MiniKlexikon is designed for children who are beginner readers, and is therefore an even simpler version of the Klexikon. We make the assumption that the three different sub-corpora represent three different levels of conceptual complexity due to the target groups they are written for: younger children, children and adults. As Wikipedia articles can be extremely long, in comparison to the other two lexica, only the introduction or abstract was taken for this corpus. This repository contains the corpora from the original study (295 texts per sub-corpus in the orig_files folder), extended ...
Keyword: automatic text simplification; computational linguistics; text complexity; text simplification
URL: https://zenodo.org/record/6319803
https://dx.doi.org/10.5281/zenodo.6319803
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70
Formalization of AMR Inference via Hybrid Logic Tableaux ...
Goldner, Eli Tecumseh. - : Brandeis University, 2022
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71
Hebrew Transformed: Machine Translation of Hebrew Using the Transformer Architecture
Crater, David T. - 2022
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72
Supplementary materials for "Leveraging graph algorithms to speed up the annotation of large rhymed corpora" by Julien Baley, published in CLAO 51.1 (2022) ...
Baley, Julien. - : Brill Online, 2022
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73
Supplementary materials for "Leveraging graph algorithms to speed up the annotation of large rhymed corpora" by Julien Baley, published in CLAO 51.1 (2022) ...
Baley, Julien. - : Brill Online, 2022
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74
nkresearch ...
hyun, eileen. - : figshare, 2022
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75
nkresearch ...
hyun, eileen. - : figshare, 2022
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76
nkresearch ...
hyun, eileen. - : figshare, 2022
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77
nkresearch ...
hyun, eileen. - : figshare, 2022
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78
nkresearch ...
hyun, eileen. - : figshare, 2022
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79
Human-like learning of syntactic islands by neural networks ...
Suijkerbuijk, Michelle. - : Open Science Framework, 2022
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80
Study 1 - Fred and his dog (revised with author vs respondent conditions) ...
Shorr, Ardon. - : Open Science Framework, 2022
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