Can you ellaborate on this please? My goal is to work in text processing professionally, I have the intuition that text should 'learn' its own features. I'm learning Python, reading about machine learning and practicing my coding all the time.
The other day I was searching about the best way to automatically detect patterns in data. Then I checked my email and I had received a "Quora Session recap" type of newsletter (I don't get or read those often). The content of the newsletter was a series of questions about machine learning with Pedro Domingos, (I didn't know him). I was amazed by his knowledge about computer science. The next day I went casually to Amazon and it recommended me Pedro Domingo's book 'The Master Algorithm'. I tried a sample and it blew me away: it's a great exposition of what machine learning is. I bought the book and keep reading. This is a bit meta, but I think machine learning helped me find information to understand machine learning better. It chose me :)
I'm a localization worker by day and DJ on the weekends... I understand your point haha. But we can't escape the curse, I indeed try do 'different activities' but at the end of the day I'm just switching laptops. Translate? computer work. Programm? computer work. DJing? computer work.
Do you do some kind of text processing, before or after sending the words to Google Translate? Do you analyze the translation mistakes, in order to iteratively improve the results? How much do you pay for the API?
Nice observation. Sadly, localization is an afterthought for a lot of developers. I am also curious to see how they handle other languages and locales, since I'm interested in learning how to use these kinds of systems.
Yes, I guess computers are better than us at deciding how to organize characters in words, judging by the author's typos: 'liklihood', 'Mathematiacally', 'langauge', 'immitate', 'somehwat', characer', 'commma', Shakespear', 'characteters', 'Shakepearan'.
The author makes no considerations about writing for the web. He would hate to hear that, of course, but there's no way I am going to read that. Well, maybe if I feed it into a summarization app, maybe. ;)
That website... where is the volume control? And if I want to re-watch the clip, I have to re-watch the damn 25 second long commercial! And I have to sign up in order to comment. Horrible website.
I have lost the ability to read a long piece. I feel frustrated when I go to the news site and I am presented with a 'narrative' that seems to hide the real information. I need a paragraph that tells me straight forward what this weapon is about, not a long, obfuscated narrative. It's my fault, I'm not complaining.
This is a common misconception of translation: the idea that you just need to "flip" words from language A to language B and you're done. This is quite naïve. In professional translation circles we talk about transcreation and localization. When you need to sell an English speaking book in a different country, you can't just convert the books' text strings from language A to language B. You need to RECREATE the book in the second language. There is one rule in quality publishing: the reader SHOULDN'T feel that what he/she is reading is a translation. The reading must feel natural. IT prose, on the other hand, is comparatively poor and is indeed subject to automation. It's a matter of quality. If you just want to "feel" that you are already "present" in the global market just because you did a cheap text conversion, a couple of dollars will do the job. If you really want to CREATE a product with different, same-quality versions for several cultures/languages/markets, you definitely need better informed strategy.
What you guys do is awesome. I'm interested in machine translation. I know python and NLTK. I have a grasp of statistics, I'm learning everyday more. Will I be able to design a domain-specific machine translation system with Watson?
I'm by no means an expert, I'm just a linguist that's been learning python and NLTK for a little while. I would assume the demos don't show the potential of the technology. This kind of tech shines when you customize it and train it with domain-specific data, am I wrong?
I'm never sure how to understand fines like this one. I don't believe they actually pay that money. Why aren't there follow-up stories that explain how the payment process was like? Do the deposit the money? They write a check? How on Earth is this enforced? What about transparency? Where can citizens check that the money was indeed paid and how it is being used? With such large amounts of money, corruption must be an issue.
Ok then, in that case it's sincere concern about the well-being of it's citizens. Some of the things you mention are laudable (unemployment insurance) while other are questionable, nanny-state measures (protect children from bad influences), and other don't seem to be working (hate speech is rampant in Germany). I don't think protecting citizens against bad e-mail service counts as a critical protection measure, it rather falls into the nanny-state measures category and comes across as technologically backwards.
I don't understand why a technological country like Germany poses so many obstacles to American IT companies. It could be that Germany is sincerely concerned about the limitations that need to be imposed against e.g. Google, so that it doesn't get too powerful, or maybe Germans are just jealous that they aren't really thriving in IT.
What is the society you would like to live in? A society in which intellectual and philosophical discussions pop up spontaneously on the subway? Or a society in which strangers stop to hug each other in the middle of the street and start conversing dearly and profoundly?
People's eyes are not glued to their screens. I'm sure that they can move their eyes and point them onto other targets, and I'd like to see the evidence of any sticky substance between the ocular globes and the crystal screens. I don't understand the need of hyperbole, in general. Why is it necessary to exaggerate to make a point?
Man, I'm sold! Even if this is fictitious, there is just something about Jobs that actually influences me. The stainless steel model looks indeed very attractive.
I don't think your distinction (or judgment) here changes OP's point. It might be a solitary, textual endeavor, but the question remains: why are women less prone to dedicate time to this sort of stuff.