A Quote by Balaji Srinivasan

Machine translation of signs, text, and speech brings down language barriers and facilitates ever more cross-cultural meetings of like minds. — © Balaji Srinivasan
Machine translation of signs, text, and speech brings down language barriers and facilitates ever more cross-cultural meetings of like minds.
Artificial intelligence is one of 50 things that Watson does. There is also machine learning, text-to-speech, speech-to-text, and different analytical engines - they're like little Lego bricks. You can put intelligence in any product or any process you have.
In translation studies we talk about domestication - translation styles that make something familiar - or estrangement - translation styles that make something radically different. I use a lot of both in my translation, and modernism does both. For instance, if you look at the way James Joyce presents Ulysses, is that domesticating a classic? Think of it as an experiment in relation to a well-known text in another language.
I believe that there are barriers, educational barriers, cultural barriers, societal barriers, that are keeping people from accessing the promise of a vibrant free enterprise economy.
I don't ever cross the line. I step right up to it. I put my toes on the line, but I don't ever cross that line. There are some barriers you just don't cross - you don't talk about religion; you don't talk about race. Those are lines I will never cross.
The commerce of minds was necessarily the first commerce in the world, ... since before bartering things one must barter signs, and it is necessary therefore that signs be instituted.There is no market or exchange without language. The first instrument of all commerce is language.
Music is such a great communicator. It breaks down linguistic barriers, cultural barriers, it basically reaches out. That's when rock n' roll succeeds, and that's what virtuosity is all about.
I love to be a part of movies, irrespective of the cultural and language barriers.
Translation rewrites a foreign text in terms that are intelligible and interesting to readers in the receiving culture. Doing so is akin to committing an act of ethnocentric violence by uprooting the text from the language and culture that gave it life. Translating into current, standard English at once conceals that violence and homogenizes foreign cultures.
I don't speak any languages well enough to make an expert assessment on writing in translation, but since I'm interested in awkwardness in prose, I find I like the way translated texts can sometimes acquire awkwardness in the process of translation. There's a discordance translation can create which I think is sometimes seen as a weakness but which I think can be a really interesting aspect of the text.
I experienced many moments when we were able to overcome language barriers. When they like something during our shows, American audiences would tend to show our fox signs or move their bodies.
Text input is certainly useful, but images and speech are a much more natural way for humans to express their queries. Infants learn to see and speak well before they learn to type. The same is true of human evolution - we've had spoken language for a long time compared to written language, which is a relatively recent development.
The oldest cliché in the world is about "what's lost in translation," but you don't very often read much intelligent about what's gained by translation, and the answer is everything. Our language is a compendium of translation.
Both sameness and difference are issues for us. A sign of cultural homogenization is that languages are disappearing at an alarming rate. I am heartened by signs that some peoples are fighting back, e.g., the revitalization of the language of the Wampanoag tribe in Massachusetts. But if we reject essentialism about culture, we will be cautious about overgeneralizing about what homogenization is and to what degree it exists. If we think of cultures as dynamic, internally diverse and contested, we will be aware that what looks like homogenization may be deeper down this more complicated thing.
One can understand nature only when one has learned the language and the signs in which it speaks to us; but this language is mathematics and these signs are methematical figures.
Deep learning is already working in Google search and in image search; it allows you to image-search a term like 'hug.' It's used to getting you Smart Replies to your Gmail. It's in speech and vision. It will soon be used in machine translation, I believe.
All language begins with speech, and the speech of common men at that, but when it develops to the point of becoming a literary medium it only looks like speech.
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