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Question is basically in the title. Just looking for a simple answer
If you use NSLocalizedString, you don't have to write your own code to detect and load resources per locale, and instead rely on widely used and reliable code provided by the system. This saves time in development and debugging, and your code will be easier to understand by other developers familiar with the system.
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I'm currently working on an app that needs to communicate with a secure system. I need to generate a public and private key according to a couple of requirements. According to system specs, the key derivation iterations is required to be set to 1000, but I can't find any way to do this on iOS.
Can anyone help me out? Thanks!
As stated in comment, your question is a bit too broad. I am guessing that you are asking about PBKDF2.
You can use CommonCrypto to do that. I used it with Objective-C and it was relatively easy. I think there might be some difficulties to use it with Swift, but Google search has a lot of info how to do that.
You will need to use CommonCrypto function CCKeyDerivationPBKDF - link to docs. There is a round parameter which I think is what you are looking for.
This question might help too.
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Can I use speech framework to recognize some special phrases?
I want to give a list of special phrases like brand's names to be recognized.
Is it possible to achieve? How can I do that?
Speech Recognition API does not support this. However if you only need to recognise some specific phrases you could use third party solutions like http://www.politepix.com/openears/. And it also works offline.
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How to build a multi-language app? I already build one app but it’s English, I want to make it multi-language, and show the language depends on system language.
Appreciate if you give a help!
It's actually quite easy. You basically have a text file for each language you are supporting. Apple's documentation steps you through how to do it:
https://developer.apple.com/internationalization/
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Does linked data applications use tagging for easier information retrieval? Where to get information on this specific topic?
For semantic annotation (tagging) the following applications would be good starting points:
http://gate.ac.uk/
http://www.ontotext.com/kim
Especially the GATE system includes a lot of information and tutorials related to both POS-tagging and ontology-based semantic tagging.
And yes, once your text has been semantically tagged, it is much easier to connect it to other pieces of text using the extra semantic medatada.
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I saw that this company Mitek made an app that could read receipts through the iPhone's camera and record the information from them. (http://www.miteksystems.com/OOMPH_MobileReceipt.asp). My assumption would be that they run the images through some kind of image/text recognition software. Any ideas what what they might be using? If theres an API that can interpret text from pictures that would be great to.
cheers,
Mike
They are probably using some type of OCR software. It is hard to tell exactly which.
You can look at ocropus, for example