Cross-lingual dubbing of lecture videos requires the transcription of the original audio, correction and removal of disfluencies, domain term discovery, text-to-text translation into the target language, chunking of text using target language rhythm, text-to-speech synthesis followed by isochronous lipsyncing to the original video. This task becomes challenging when the source and target languages belong to different language families, resulting in differences in generated audio duration. This is further compounded by the original speaker's rhythm, especially for extempore speech. This paper describes the challenges in regenerating English lecture videos in Indian languages semi-automatically. A prototype is developed for dubbing lectures into 9 Indian languages. A mean-opinion-score (MOS) is obtained for two languages, Hindi and Tamil, on two different courses. The output video is compared with the original video in terms of MOS (1-5) and lip synchronisation with scores of 4.09 and 3.74, respectively. The human effort also reduces by 75%.

Several years ago, my father died as he had done most things throughout his life: without preparation and without consulting anyone. He simply went to bed one night, yielded his brain to a monstrous blood clot, and was found the next morning lying amidst the sheets like his own stone monument. It was hard for me not to take my father's abrupt exit as a rebuke. For years, he'd been begging me to visit him in the Czech Republic, where I'd been born and where he'd gone back to live in 1992. Now my dad was shrugging at me from beyond-- "You see, you've run out of time." His death underscored another loss, albeit a far more subtle one: that of my native tongue.

Understanding the community conditions that best support universal access and improved childhood outcomes allows ultimately to improve decision-making in the areas of planning and investment across the early stages of childhood development. Here we describe two different data-driven approaches to visualizing the lived experiences of children throughout the City of Surrey, combining data derived from both public and private sources. In one approach, we find specifically that the Early Development Instrument measuring childhood vulnerabilities across varying domains can be used to cluster neighborhoods, and that census variables can help explain similarities between neighborhoods within these clusters. In our second approach, we use program registration data from the City of Surrey's Community and Recreation Services Division. We also find a critical age of entry and exit for each program related to early childhood development and beyond, and find that certain neighborhoods and recreational programs have larger retention rates than others. This report details the journey of using data to tell the story of these neighborhoods, and provides a lens to which community initiatives can be strategically crafted through their use.

Each small business has a unique set of problems, but all of them revolve around affordability, and time. With machine learning, small businesses can save on operations cost, make better business decisions, make more profits and save time through automation of workforces, better sales & marketing techniques, more engaged employees, more satisfied customers & demand forecasting through emotion gauging and predictive modeling. To know more about how these ideas work, keep reading this post. It consists of data and algorithms. The algorithms are setup to capture, store, sort and analyze data to solve business problems.

Children who learn two languages as they grow up find it easier to learn a third in later life, a study found. They learn faster than their monolingual counterparts, confirming the theory bilinguals are better at picking up another language, researchers say. Researchers found boosted brain activity in brain scans of bilingual people which showed they learned an extra language using brain processes usually reserved for their native tongue. Children who learn two languages as they grow up find it easier to learn a third in later life, a study found. Learning to speak a second language at any point could help keep your brain sharp as you age, a 2015 study found.

Google Translate's knowledge of more than 100 languages can help you in your daily workflow as much as it can help you on your next trip. The features below show how it can help you with entire documents or websites, or even your native tongue. Google Translate can parse individual words and phrases, of course, but you can also translate entire websites into a chosen language. You can translate foreign websites like this Italian news publication into another language with Google Translate. Just type the entire URL of the website you want translated in the text box on the left side of Google Translate's home page.

It may sound like the fictional fish used to translate languages in'The Hitchhiker's Guide to the Galaxy', but a German startup has brought the Babel fish to life with earbuds. Called Dash Pro tailored by Starkey, these high-tech earbuds are capable of integrating with the iTranslate app, providing face-to-face conversational language translation in nearly 40 different languages. While wearing the custom earbuds, users simply activate the app and carry on a conversation that will be translated into their native tongue in real-time. Bragi has unveiled two new products to the family – The Dash Pro tailored by Starkey and The Dash Pro, which is a'reengineered sequel to The Dash that continues to press innovation forward,' the firm explained. The Dash Pro tailored by Starkey integrates with the iTranslate app, which will translate the conversations into the wearer's native tongue.

Facebook CEO and cofounder Mark Zuckerberg at an event at Facebook's Menlo Park, Calif., headquarters to celebrate Facebook Friends Day with users from around the world. SAN FRANCISCO -- Facebook has been translated into three new languages -- and it has its users to thank. Be it "what's on your mind?" or the "like" or "share" buttons, a dedicated community of Facebook users want to make sure all the words and phrases on the social networking service are accurately translated into their native tongues. In all, Facebook is now available in 101 languages with the addition on Friday of Maltese (the official language of Malta that has more than 400,000 native speakers), Pulaar (a dialect of Fula spoken by more than 7 million across West and Central Africa), and Corsican (spoken by some 200,000 people and listed on UNESCO's Atlas of the World's Languages in Danger.) Human-powered translation is critical to Facebook's growth.