{
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    "title" : "Using Neural Machine Translation for Multilingual Communication |Digital.gov",
    "description": "Using Neural Machine Translation for Multilingual Communication",
    "home_page_url" : "/preview/gsa/digitalgov.gov/bc-archive-content-3/","feed_url" : "/preview/gsa/digitalgov.gov/bc-archive-content-3/event/2019/10/15/using-neural-machine-translation-for-multilingual-communication/index.json","item" : [
    {"title" :"Using Neural Machine Translation for Multilingual Communication","deck" : "","summary" : "With the sharp improvement in machine translation quality, the variety of government use cases for this technology has evolved.","date" : "2019-10-15T12:00:00-05:00","date_modified" : "2025-01-27T19:42:55-05:00","start_date" : "2019-10-15T12:00:00-05:00","end_date" : "2019-10-15T13:00:00-05:00",
      "event_organizer" : "DigitalGov University","host" : "Multilingual Community of Practice","registration_url" : "https://www.eventbrite.com/e/using-neural-machine-translation-for-multilingual-communication-registration-73984366231","youtube_id" : "BGOEGD2_NyM","authors" : {"beth-flaherty" : "Beth Flaherty","lgodfrey" : "Laura Godfrey"},"topics" : {
        
            "artificial-intelligence" : "Artificial intelligence",
            "multilingual" : "Multilingual"
            },"primary_image" : { "uid" : "multilingual-neural-machine-translation", "alt" :
  "Using Neural Machine Translation for Multilingual Communication", "width" :
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  "png" },"content" :"\n\n\n\n\n\n\n\u003cdiv class=\"image\"\u003e\n  \u003cimg\n        src=\"https://s3.amazonaws.com/digitalgov/multilingual-neural-machine-translation.png\"alt=\"Using Neural Machine Translation for Multilingual Communication\"/\u003e\u003c/div\u003e\n\n\n\u003cp\u003eA new type of Artificial Intelligence (AI) technology, called Neural Machine Translation (NMT), is quickly earning the attention of multilingual communities. This software is helping to expedite the translation process and has the potential to open government information to more non-English languages. \u003c/p\u003e\n\u003cp\u003eIn this session, Beth Flaherty will give a high-level overview of machine translation technology. We will discuss the evolution of machine translation (MT), how MT is used in the government, ways to “specialize” a language engine to a specific domain, calculation of return on investment (ROI), and the road ahead.  We’ll also show a live demo of the NMT software so that the audience can see the flexibility of use with this technology.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBeth Flaherty\u003c/strong\u003e is SYSTRAN Software’s Director of Government Solutions and is based in the Washington D.C. area. In her role, Beth is responsible for account management for current US Government clients and for educating prospective clients on the benefits of machine translation.\u003c/p\u003e\n\u003cp\u003eFor 20+ years, Beth has led business development efforts and program execution teams for government language programs.  She understands the important relationship between language services and human language technology (HLT), having worked for companies such as Berlitz, Lionbridge, SAIC (Language Services), and SDL. She has actively participated in the Interagency Language Roundtable (ILR) and AMTA - Government Track. Beth holds an MBA in International Business from The George Washington University, a BBA and Spanish minor from Saint Mary’s College (IN), and PMP Certification. \u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRelated information:\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https://ai.googleblog.com/2019/07/robust-neural-machine-translation.html\"\u003eRobust Neural Machine Translation\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://blogs.microsoft.com/ai/chinese-to-english-translator-milestone/\"\u003eUsing AI to match human performance in translating news from Chinese to English\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://www.lionbridge.com/blog/translation-localization/neural-machine-translation-artificial-intelligence-works-multilingual-communication/\"\u003eNeural Machine Translation: How Artificial Intelligence Works When Translating Language\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://translate.systran.net/translationTools/text\"\u003eSystran Translation Tool\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://digital.gov/2018/12/20/designing-for-translation/\"\u003eDesigning for Translation\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cem\u003eQuestions about this event or future events? Send them to \u003ca href=\"mailto:digitalgov@gsa.gov\"\u003edigitalgov@gsa.gov\u003c/a\u003e.\u003c/em\u003e\u003c/p\u003e\n\u003chr\u003e\n\u003cp\u003e\u003cem\u003eThis talk is hosted by the [Multilingual Community of Practice]\n(\u003ca href=\"https://digital.gov/communities/multilingual/\"\u003ehttps://digital.gov/communities/multilingual/\u003c/a\u003e) and Digital.gov. \nOur team will send a reminder email prior to the event that includes your link to join the video\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eThis event will be held over \u003ca href=\"https://www.zoom.us/\"\u003eZoom\u003c/a\u003e (see the Zoom \u003ca href=\"https://support.zoom.us/hc/en-us/articles/201362023-System-Requirements-for-PC-Mac-and-Linux\"\u003ecomputer and device requirements\u003c/a\u003e, and \u003ca href=\"https://support.zoom.us/hc/en-us/sections/200277708-Frequently-Asked-Questions\"\u003eFAQs\u003c/a\u003e). You can \u003ca href=\"https://zoom.us/download#client_4meeting\"\u003edownload Zoom Client for Meetings\u003c/a\u003e to install the Zoom web browser client beforehand.\u003c/em\u003e\u003c/p\u003e\n",
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