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10.3233/SHTI210222 http://scihub22266oqcxt.onion/10.3233/SHTI210222 34042628!ä!34042628 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 249.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 249.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 249.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 249.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Stud+Health+Technol+Inform 2021 ; 281 (ä): 516-517 Nephropedia Template TP {{tp|p=34042628|t=2021. Evaluating Complexity of Digital Learning in a Multilingual Context: A Cross-Linguistic Study on WHO s Emergency Learning Platform |pdf=|usr=}}{{34042628}} gab.com Text Evaluating Complexity of Digital Learning in a Multilingual Context: A Cross-Linguistic Study on WHO s Emergency Learning Platform JO: Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=34042628 #FOAvip Reproduction of knowledge, especially tacit knowledge can be expensive during a pandemic. One of the most common causes is the reduced information accessibility during the translation process. Having the ability to assess the linguistic complexity of any given contents could potentially improve knowledge reproduction. Authors conduct two cross-linguistic studies on the World Health Organization (WHO)'s emergency learning platform to assess the linguistic complexity of two online courses in 10 languages. Morpho-syntactically annotated treebanks, unannotated materials from Wikipedia and language-specific corpora are set as control groups. Preliminary findings reveal a clear reduced complexity of learning contents in the most candidate languages while retaining the maximum amount of information. Creating a baseline study on low-resourced languages on the learning genre could be potentially useful for measuring impact of normative products at country and local level. Twit Text FOAVip Evaluating Complexity of Digital Learning in a Multilingual Context: A Cross-Linguistic Study on WHO s Emergency Learning Platform ????Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=34042628 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34042628 #FOAvip English Wikipedia <ref>{{Cite pmid|34042628}}</ref> Evaluating Complexity of Digital Learning in a Multilingual Context: A Cross-Linguistic Study on WHO s Emergency Learning Platform #MMPMID34042628 Zhao Y; Samo G; Utunen H; Stucke O; Gamhewage G Stud Health Technol Inform 2021[May]; 281 (ä): 516-517 PMID34042628show ga Reproduction of knowledge, especially tacit knowledge can be expensive during a pandemic. One of the most common causes is the reduced information accessibility during the translation process. Having the ability to assess the linguistic complexity of any given contents could potentially improve knowledge reproduction. Authors conduct two cross-linguistic studies on the World Health Organization (WHO)'s emergency learning platform to assess the linguistic complexity of two online courses in 10 languages. Morpho-syntactically annotated treebanks, unannotated materials from Wikipedia and language-specific corpora are set as control groups. Preliminary findings reveal a clear reduced complexity of learning contents in the most candidate languages while retaining the maximum amount of information. Creating a baseline study on low-resourced languages on the learning genre could be potentially useful for measuring impact of normative products at country and local level. |*Linguistics[MESH] |*Multilingualism[MESH] |Language[MESH] |Pandemics[MESH]Evaluating Complexity of Digital Learning in a Multilingual Context: A(epmc).pdf DeepDyve Pubget Overpricing