{"id":50,"date":"2019-11-18T13:54:08","date_gmt":"2019-11-18T13:54:08","guid":{"rendered":"http:\/\/trends.memoq.com\/?page_id=50"},"modified":"2020-01-13T23:25:35","modified_gmt":"2020-01-13T23:25:35","slug":"voice-recognition-technology-translation","status":"publish","type":"page","link":"https:\/\/trends.memoq.com\/voice-recognition-technology-translation\/","title":{"rendered":"Moving Beyond the Keyboard"},"content":{"rendered":"\n<p>A woman calls a hair salon to make an appointment for a client of hers. The receptionist answers, asks a few questions, and offers a convenient, 10 am appointment for a women\u2019s haircut. Everything is perfectly normal about the call \u2014 except one thing. The woman calling isn\u2019t human. She\u2019s actually a computer, trained to recognize conversation and respond appropriately.<\/p>\n<h3>\n\t\tSay Hello to Voice Recognition Technology\n\t<\/h3>\n\t<p>This is just one example demonstrated by Google\u2019s CEO, Sundar Pichai, at Google IO 2018. (1) Designed as a productivity tool, voice recognition technology works when a computer software program or hardware system interprets the human voice and responds accordingly. Voice recognition technology isn\u2019t new \u2014 in fact, one might trace it all the way back to Wolfgang von Kempelen\u2019s first acoustic-mechanical speech machine in 1784. (2) But one thing\u2019s certain \u2014 its popularity and use is exponentially growing, especially in the translation industry.<\/p>\n<h3>\n\t\tWho in the Industry is Benefiting from this Unique Productivity Tool?\n\t<\/h3>\n\t<p>First and foremost, people who are translating natural flow text into their own native languages are benefitting. For example, if an American man living in Germany gets a contract to translate a novel into English, he can use voice recognition technology to quickly do a baseline translation. It\u2019s also useful in situations where translators don\u2019t need to do heavy post-editing work or manipulation of the text.<\/p>\n<p>&nbsp;<\/p>\n<p>Finally, another important market niche is people with visual impairments or other disabilities. \u201cFor people where typing is difficult, or where visual aids are needed, voice recognition can greatly enhance their productivity. In fact, there are many translators with visual impairments,\u201d says Zsolt Varga, Product Owner at memoQ.<\/p>\n\t<article>\n\t\t<header>\u201cPeople with disabilities can now overcome difficulties we\u2019ve never dreamt of.\u201d<\/header>\n\t\t\t\t\t<footer>\n\t\t\t\t\t\t\t\t\t\t\t\t\tZsolt Varga\n\t\t\t\t\t\t\t\t\t\t\t\t\tProduct Owner at memoQ\n\t\t\t\t\t\t\t<\/footer>\n\t\t\t<\/article>\n<h3>\n\t\tVoice Recognition will Eventually Replace Predictive Technology\n\t<\/h3>\n\t<p>Today\u2019s global economy means more content needs to be translated quickly. As a result, companies are increasingly relying on machine translation (MT) technology, combined with post-editing workflows done by translators. Voice recognition technology can accelerate the post-editing process and boost productivity for translators, especially for big jobs.<\/p>\n<p>&nbsp;<\/p>\n<p>\u201cIn 2019, machine translation is probably still going to be the order of the day, and therefore, it needs to be supported by human translators or reviewers,\u201d says Varga.<\/p>\n<p>&nbsp;<\/p>\n<p>As a result, we suspect more translation software companies will offer their own voice recognition products in 2019. For example, at memoQ, we have just launched our first voice recognition technology product. Called&nbsp;<a href=\"https:\/\/www.memoq.com\/en\/hey-memoq?__hstc=211339658.5f3392c85cb7d6f077fd8a99b8de0792.1573043517888.1574166852466.1574171848255.7&amp;__hssc=211339658.9.1574171848255&amp;__hsfp=43488286\" target=\"_blank\" rel=\"noopener noreferrer\">Hey memoQ<\/a>, this dictation app allows people to speak directly into their iOS mobile devices.&nbsp;The Hey memoQ mobile app then sends the speech to Apple, where it is processed and sent back to memoQ, allowing the user to see written text on the translation grid.<\/p>\n<p>&nbsp;<\/p>\n<p>Because a person can speak more quickly than type, we believe voice recognition technology could eventually replace predictive technology.&nbsp;In fact, our users have gone as far as saying,<\/p>\n\t<article>\n\t\t<header>\u201cPredictive technology is old technology for people still typing.\u201d <\/header>\n\t\t\t\t\t<footer>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/footer>\n\t\t\t<\/article>\n<h3>\n\t\tThere are still Technical Limitations to Overcome \n\t<\/h3>\n\t<p>Even though voice recognition technology exists in the translation industry, its use still hasn\u2019t peaked. That\u2019s because the technology still is limited in several use cases. For example, it can have trouble separating voice commands from the words that actually needs to be recognized and processed.<\/p>\n<p>&nbsp;<\/p>\n<p>\u201cThe more frequently you have to switch from speech recognition to manual entry and back, the more cumbersome and difficult it is to use the technology,\u201d says Varga. It can also be challenging for voice recognition technology to understand local dialects and accents, like Indian English or Hungarian English. Finally, highly specific and technical content can be difficult to translate as well. For instance, voice recognition technology doesn\u2019t seem to work that well for translating medical text.<\/p>\n<p>&nbsp;<\/p>\n<p>But these are all challenges that the industry is ready to tackle head on. In many ways, the use of voice recognition technology in the translation industry is still new, so it\u2019s only natural to face early technical limitations. Software engineers and product experts are collaborating now to brainstorm solutions and continue to innovate.<\/p>\n<h3>\n\t\tImagine Your own Personal, Talking Robot\n\t<\/h3>\n\t<p>It might seem like a science fiction movie, but voice recognition technology is quickly making robots reality. Now people can speak into devices that respond like humans and perform convenient tasks, like making salon appointments and restaurant reservations. This type of technology is especially productive in the translation software industry. Combined with machine translation, voice recognition technology can speed up large translation projects in ways we never imagined.<\/p>\n<p>&nbsp;<\/p>\n<p>Prepare yourself for the next generation of technology \u2014 and convenience. It\u2019s already here.<\/p>\n\t<p>References:<\/p>\n<p>&nbsp;<\/p>\n<p>1 \u201cGoogle Assistant making a haircut appointment.\u201d Google IO 2018. https:\/\/youtu.be\/YCWJ0z6_z34<\/p>\n<p>&nbsp;<\/p>\n<p>2 \u201cThe Past, Present, and Future of Speech Recognition Technology.\u201d Medium. Clark Boyd. January 10, 2018.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Because a person can speak more quickly than type, many believe voice recognition technology could eventually replace predictive typing. Who in the translation industry is benefiting from this technology?<\/p>\n","protected":false},"author":14,"featured_media":88,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[6,10],"class_list":["post-50","page","type-page","status-publish","has-post-thumbnail","hentry","category-6","category-trend"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Voice Recognition Technology | Moving Beyond the Keyboard - memoQ<\/title>\n<meta name=\"description\" content=\"Because a person can speak more quickly than type, many believe voice recognition technology could eventually replace predictive typing.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/trends.memoq.com\/voice-recognition-technology-translation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Voice Recognition Technology | Moving Beyond the Keyboard\" \/>\n<meta property=\"og:description\" content=\"Because a person can speak more quickly than type, many believe voice recognition technology could eventually replace predictive typing.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/trends.memoq.com\/voice-recognition-technology-translation\/\" \/>\n<meta property=\"og:site_name\" content=\"memoQ Trends\" \/>\n<meta property=\"article:modified_time\" content=\"2020-01-13T23:25:35+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/trends.memoq.com\/wp-content\/uploads\/2020\/01\/trend-report-2019.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Voice Recognition Technology | Moving Beyond the Keyboard\" \/>\n<meta name=\"twitter:description\" content=\"Because a person can speak more quickly than type, many believe voice recognition technology could eventually replace predictive typing.\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/trends.memoq.com\/wp-content\/uploads\/2020\/01\/trend-report-2019.png\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/trends.memoq.com\/voice-recognition-technology-translation\/\",\"url\":\"https:\/\/trends.memoq.com\/voice-recognition-technology-translation\/\",\"name\":\"Voice Recognition Technology | Moving Beyond the Keyboard - 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