{"id":977,"date":"2010-12-09T12:31:42","date_gmt":"2010-12-09T17:31:42","guid":{"rendered":"https:\/\/dev.epictranslations.com\/?p=977"},"modified":"2017-12-15T16:37:19","modified_gmt":"2017-12-15T16:37:19","slug":"machine-translations-two-approaches","status":"publish","type":"post","link":"https:\/\/dev.epictranslations.com\/ara\/machine-translations-two-approaches\/","title":{"rendered":"Machine Translations: Two Approaches"},"content":{"rendered":"

Human translators<\/a> quite often wonder why would anyone use machine translations? \u00a0Larger companies quite often wonder why can’t machine translations be made better? \u00a0 As simple as this sounds, we can not underestimate the complexities involved when deciding which option to consider. \u00a0To begin with, I think it’s important to define machine translation. It is “the application of computers to the task of translating texts<\/strong> from one natural language to another.” \u00a0This concept is much harder than it sounds. There are 2 different approaches that have been used thus far.<\/p>\n

    \n
  1. Machine Translation (MT)<\/strong><\/li>\n
  2. Machine Translation PLUS Human Reviewer<\/strong><\/li>\n<\/ol>\n

    For certain cases where extremely structured content is the norm, it makes sense to use a MT system. These cases are far and few, however. Ford Motor Company uses an MT system to translate some of their content<\/strong> that is continuously and dynamically updated such as vehicle assembly build instructions. In these kinds of situations, the content has to be very structured and detailed; preferably written in a language known as Standard Language. This language is a subset of the English language and is restricted to about 5,000 to 10,000 words.<\/p>\n

    Companies can create content in Standard Language<\/strong> that is specific to their operating environment. Additionally, the source content must be developed and\/or converted into a format that an MT system can easily understand. Note that the MT system learns your environment specific vocabulary over time so it can not be used right out of the box. A lot of engineering time is needed to customize the MT system for your environment. \u00a0For some companies, this might be a cost-prohibitive\u00a0option.<\/p>\n

    Machine Translation PLUS Human Reviewer<\/em> option is viable for situations where there are not a lot of dynamic changes and at least some of the content is structured. Such examples include machine\/engineering specs that have to be shared between engineers in different countries and the need for the translation is not urgent. In these\u00a0scenarios, an MT system must be deployed for a\u00a0company-specific operating environment and previous structured text must be fed into the MT system in order to do any translations. The need for engineering time and cost to customize the MT system must be given a serious thought.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Human translators quite often wonder why would anyone use machine translations? \u00a0Larger companies quite often wonder why can’t machine translations be made better? \u00a0 As simple as this sounds, we can not underestimate the complexities involved when deciding which option to consider. \u00a0To begin with, I think it’s important to define machine translation. It is “the application of computers to the task of translating texts from one natural language to another.” \u00a0This concept is much harder than it sounds. There are 2 different approaches that have been used thus far. Machine Translation (MT) Machine Translation PLUS Human Reviewer For certain\u2026<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"advgb_blocks_editor_width":"","advgb_blocks_columns_visual_guide":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[108],"tags":[334],"blocksy_meta":"","yoast_head":"\nMachine Translation PLUS Human Reviewer | Two Approaches<\/title>\n<meta name=\"description\" content=\"Machine Translation PLUS Human Reviewer option is viable for situations where there are not a lot of dynamic changes and at least some of the content...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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