{"id":38,"date":"2020-09-04T01:44:57","date_gmt":"2020-09-04T01:44:57","guid":{"rendered":"http:\/\/atea.space\/content\/?page_id=38"},"modified":"2022-06-14T14:49:38","modified_gmt":"2022-06-14T02:49:38","slug":"te-reo-technology","status":"publish","type":"page","link":"https:\/\/atea.space\/content\/te-reo-technology\/","title":{"rendered":"Te Reo Technology"},"content":{"rendered":"\n<h1>Meet the Te Reo Team<\/h1>\n\n\n\n<p>The Te Reo Technology Theme is lead by <a href=\"https:\/\/www.cms.waikato.ac.nz\/people\/tetaka\">Assoc Prof Te Taka Keegan<\/a>.<\/p>\n\n\n\n<p>This theme focuses on the development of technologies and processes that use M\u0101ori-language data to ensure Human-Computer Interactions can be performed using te reo M\u0101ori. Example output of this work includes:<\/p>\n\n\n\n<a href=\"https:\/\/atea.space\/content\/digital-library-core\/#\/greenstone3\/library\/page\/korero-maori-asr?jsession.Workpackage=tech\" style=\"display: flex;gap: 1em;align-items: center; margin: 0.5em 0;\">\n    <img src=\"https:\/\/atea.space\/content\/wp-content\/uploads\/2021\/12\/transcriber-icon.png\" style=\"margin: 0\" width=\"64\">\n    <span>Te reo M\u0101ori NLP Interactive Automatic Speech Recognition Editor<\/span>\n<\/a>\n\n\n\n<a href=\"https:\/\/atea.space\/content\/digital-library-core\/#\/greenstone3\/library\/page\/macron-restoration?jsession.Workpackage=tech\" style=\"display: flex;gap: 1em;align-items: center; margin: 0.5em 0;\">\n    <img src=\"https:\/\/atea.space\/content\/wp-content\/uploads\/2021\/12\/macroniser-icon.png\" style=\"margin: 0\" width=\"64\">\n    <span>Te reo M\u0101ori Macron Restoration Service<\/span>\n<\/a>\n\n\n\n\n<a href=\"https:\/\/atea.space\/content\/digital-library-core\/#\/greenstone3\/library\/page\/ocr?jsession.Workpackage=tech\" style=\"display: flex;gap: 1em;align-items: center; margin: 0.5em 0;\">\n    <img src=\"https:\/\/atea.space\/content\/wp-content\/uploads\/2021\/12\/ocr-icon.png\" style=\"margin: 0\" width=\"64\">\n    <span>Te reo M\u0101ori Optical Character Recognition Service<\/span>\n<\/a>\n\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Meet the Te Reo Team The Te Reo Technology Theme is lead by Assoc Prof Te Taka Keegan. This theme focuses on the development of technologies and processes that use M\u0101ori-language data to ensure Human-Computer Interactions can be performed using te reo M\u0101ori. Example output of this work includes: Te reo M\u0101ori NLP Interactive Automatic&#8230;  <a class=\"excerpt-read-more\" href=\"https:\/\/atea.space\/content\/te-reo-technology\/\" title=\"Read Te Reo Technology\">Read more &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-tech.php","meta":[],"_links":{"self":[{"href":"https:\/\/atea.space\/content\/wp-json\/wp\/v2\/pages\/38"}],"collection":[{"href":"https:\/\/atea.space\/content\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/atea.space\/content\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/atea.space\/content\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atea.space\/content\/wp-json\/wp\/v2\/comments?post=38"}],"version-history":[{"count":29,"href":"https:\/\/atea.space\/content\/wp-json\/wp\/v2\/pages\/38\/revisions"}],"predecessor-version":[{"id":169,"href":"https:\/\/atea.space\/content\/wp-json\/wp\/v2\/pages\/38\/revisions\/169"}],"wp:attachment":[{"href":"https:\/\/atea.space\/content\/wp-json\/wp\/v2\/media?parent=38"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}