Naver english to korean translation

Kim Jun-seok, leader of the Papago development team at Naver Labs, holds up his phone with the Papago app at Naver’s headquarters in Seongnam, Gyeonggi. After earning a master’s degree in natural language processing from Pohang University of Science and Technology in Pohang, North Gyeongsang, he started working at LG Electronics in 2001 and spent six years doing voice recognition research. After joining Naver in 2007, Kim worked on search modeling and voice recognition and relocated to Naver Labs, a separate unit, to develop machine translation and the Papago project. [PARK SANG-MOON] After Rep. Lee Jung-hyun, chairman of the ruling Saenuri Party, vowed on Nov. 30 to “eat his hat” if the three opposition parties succeed in impeaching President Park Geun-hye - and then actually did on Dec. 2 - the internet was flooded with parodies of his imprudent remarks.Many memes were related to results that different translation apps gave for his traditional Korean expression “jangeul jijida,” which literally means “boiling soy sauce in one’s hand while lighting a fire under it.”While Google’s translation tool awkwardly interpreted the phrase as “hold my hand in my hand,” Papago, an app by Naver, the top search engine in Korea, showed the English expression “eat my hat.”It may just be one example, but the fluent result from Papago was an unexpected surprise, given its status as an app from a portal site operator whose brand recognition and global standing is perceived as far behind the artificial-intelligence giant Google. Papago’s translation result for jangeul jijida, left, compared to Google Translate’s version. [SCREEN CAPTURE] Papago, or “parrot” in Esperanto, is the first Korean-made app that relies on neural machine translation (NMT), a new, AI-based algorithm that is distinctive from traditional translation apps and services based on statistical machine translation (SMT). Papago can translate from Korean

To English and simplified Chinese and vice versa. (Translating between Korean and Japanese still relies on SMT.)Studies show NMT produces more accurate translations that are more natural in syntax and grammar than SMT and better reflect the way people actually speak.Naver released the Papago app in August, just eight months after researchers at its Naver Labs unit embarked on the project. Three months later, Google revamped its 10-year-old Google Translate app, switching it from SMT to NMT for English, French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish.Kim Jun-seok, leader of the Papago development team at Naver Labs, said internal evaluations showed the quality of Papago’s service was 60 out of 100 for Korean-English and English-Korean translation. That means the app still makes significant errors that a human translator would never make. Kim believes the score needs to get as high as 80 to actually satisfy users.“We still have 20 more to go,” the developer said during a recent interview at Naver’s headquarters in Seongnam, Gyeonggi, “but since NMT has leapt past decades-old SMT in such a short span of time, it won’t be long before Papago reaches an even higher level.”The app, available on both Android and iOS, can translate typed text as well as speech and can optically recognize characters in a photograph, features that Google’s web and mobile translation service provides. The company says Papago will support six more languages - traditional Chinese, Spanish, French, Indonesia, Thai and Vietnamese - by next year.Unlike Google, Papago can detect whether a Korean speaker is asking a question or not by identifying the subtle rise in intonation. In Korean, some interrogative sentences have no change in word order and can only be inferred by tone.Kim said there were many other differences between the SMT and NMT.SMT, also known as phrase-based

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Is secure and accessible quickly.Geminisoft provides consulting services for the best storage configuration when deploying MAMs.Integration management with Cloud·AI·STT systemIntegration with Naver·Google·Amazon AI SaaSRather than building AI technologies including speech recognition (STT), it may be advantageous in terms of AI analysis quality to use a cloud service that continuously adds artificial intelligence analysis data.Geminisoft provides voice recognition and voice metadata extraction functions in conjunction with AI such as Naver·Google·Amazon.Geminisoft provides a turnkey system service that will cover deployment, contract, and payment for AI analysis.Speech To Text, STTBy the use of Geminisoft's STT engine, STT integration service can be provided for Naver, which excels in Korean, and Google and Amazon, which excel in English and many other languages.Depending on the results of the STT performance evaluation, the STT engine can be changed according to the administrator's settings.AI TranslateGeminisoft uses Google Translation AI, providing an automatic translation of metadata or subtitle data.It can be used when the contents would be distributed worldwide.Video Analysis (Vision AI)Video analysis functions are provided by Google's Vision AI and Amazon's Rekognition, automatically generating metadata.Geminisoft can use domestic AI services such as Naver, as well as AI analysis from big foreign tech companies.From utilizing the latest technology to solving security problems and paying costs, total services can be provided for various issues arising from using global AI and cloud services.Client companies using AI SaaS service

Machine translation, works by dissecting each sentence fragment into words and phrases. The tool then looks them up in a large vocabulary pool that is derived statistically and then rearranges them to make sense. This means translations that came up most frequently in the past are the ones that get picked.NMT, on the other hand, uses an artificially-intelligent neural network to work on whole sentences at once and figure out the best translation. The system is modeled on the human brain and can learn from past actions to solve new problems without being programmed to do so. That means it can translate languages on which it has not even been trained and improve over time.The system can also handle multiple language pairs. If the network has been taught to translate between English and Chinese and between English and Korean, it can also translate between Chinese and Korean without going through English.For the deep-learning computer network to get brainier over time, it needs a vast database to study. It’s the same way Google DeepMind’s AlphaGo “learned” how to play the game of Go by analyzing a huge database of professional Go matches.Kim’s Papago team, which collaborates with language-processing analysts and translators under the Naver umbrella, is still figuring out a way to produce the best translation results by applying various learning methods and adding databases every 15 days to a month. For this reason, a translation of the same sentence can differ depending on when you enter it.Papago has been making the best use of Naver’s ample database: sentences from Naver’s web dictionaries, webtoons (comic strips) serviced on its site and the portal’s Q&A section called “KnowledgeiN,” which runs similarly to Quora. Kim’s team even purchased multilingual technical manuals for automobiles and consumer electronics products to facilitate Papago’s machine-learning process. The