How to implement language translator facility in an iphone application ?
I have found that for Online mode this works, using GOOGLE API :(for example)
http://ajax.googleapis.com/ajax/services/language/translate?q=nature&v=1.0&langpair=en%7Cja
But how to perform language translation in offline mode ? Any open source API available.
Is it allowed to use google translate API in iphone application ??
(Languages : All languages which are supported by iPhone)
Natural language translation is an incredibly hard problem. Given the limited storage and computational resources available to a mobile device, I'd say that your best bet would be to leverage an existing online service, like Google's translation engine.
Otherwise, you could check out the libraries mentioned in this question: "Your favorite natural language parser?" to parse the language. Translation after that point will be another challenge. The answers to this question point out one or two resources for Python, but that's not really compatible with the iPhone.
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I'm currently investigating the scope of my project and have come across an issue with regards to the platform on which it can operate. The initial goal is to create a cross platform game across html, andriod and ios.
Is this type of application possible? It is important to note that it would require real time(low latency and consistent) interaction between the three platforms.
If so what are some tools I should take advantage of while developing.
We are doing this exact sort of thing using the 3rd party asset within the Unity UI's:
https://www.assetstore.unity3d.com/en/#/content/10872
and custom Socket.IO (http://socket.io/) server implementation. Works like a champ and is totally agnostic wether the client is Unity3D or just a browser.
I used Openears which needs dictionary. It is usefull when we mention the word in dictionary. I wanted to convert all words we speak. So I used Nuance’s speech to recognition dragaon SDK. But it communicates with webserver. I want to avoid server communication because of security concerns. Is it possible to convert speech to text for all words we speak as it is in windows mobile without communicating server only in offline mode?
Speech recognition with unlimited vocabulary requires very big computational and memory resources (gigabytes of memory) and thus it's very hard to do that in iPhone on other embedded device. iPhone is 9 times slower than desktop. iPad is easier since it has more powerful CPU.
Google has put very big effort to make their engine work offline for dictation, and still it prefers to send data to the server because it is significantly more accurate.
Because of that most of the solutions running on small devices use limited vocabulary. Though this vocabulary can be large enough so you will not notice that. Usually 500-1000 words is enough to cover most practical situations. You can use OpenEars to recognize such vocabulary.
To train a language model you need texts from your domain (words and expressions). Language model training is described in CMUSphinx tutorial. To use language model you can use the following OpenEars API call:
- (void) changeLanguageModelToFile: (NSString *) languageModelPathAsString
withDictionary: (NSString *) dictionaryPathAsString
See API reference for more details.
You can use OpenEars with such vocabulary and corresponding language model to support free form text entry for your device.
It could be done, but if you are looking for an unlimited vocabulary speech to text convertor, then it is best if the computations are done on a server. The requirements for such a system are probably too great for a system such as a smartphone. The main areas where you will have huge requirements are as follows:
Dictionary to map input speech into text.
Computations for speech recognition algorithms to run.
I believe this is the reason why companies like Google run their speech recognition services over a server and not on the phone.
But if the application was a limited word speech to text, then it might be worth giving it a try.
All the best!
Doesn't pocketsphinx work on iPhone without network connectivity? Aren't there some demo apps floating around like VocalKit
http://www.rajeevan.co.uk/pocketsphinx_in_iphone/ may be helpful.
I am implementing a language conversion tool, to convert Spanish to English, on a variety of smart phones: Android, BlackBerry, iPhone, Windows Phone 7.
How do I implement language conversions? Searching, I am not finding a tutorial about this, and I don't having any experience with this.
Language translation is hard to get right so you may want to lean on an existing language translation service. Services such as Google translate offer APIs and you could try calling into from your mobile application if it meets your requirements. Language conversion is a sub-field of computational linguistics and it ins't a solved problem though there are techniques you can read about.
Blog entry about Googles translation API http://googlesystem.blogspot.com/2008/03/google-launched-another-ajax-api-this.html
Can you anyone point me to specific books or maybe give me a quick overview of how architectures of data-driven iPhone applications look like? For example, let's say you're implementing an application that searches online shopping sites and gives you recommendations..etc. Is it a common pattern to establish a hosted back-end of webservices which does all the database/shopping site API connections/webservices work and have the iPhone app consume services on this backend? or do you put everything in the iPhone application? Also, if you are establshing a web-services back-end, is it better to use REST/JSON vs REST/XML vs SOAP/XML...etc?
Thanks
To answer the first part of your question, I'd say that's up to you. If there's a lot of processing that needs doing between the web service and the iPhone, then maybe you should have your own backend server doing that processing before sending it to the iPhone. However, if you just need the data from the web service as-is on the iPhone, then just consume it directly.
As for the different formats, with the iPhone smaller is always better when it comes to network traffic. Stick with using REST for sure so you minimize data that needs to be transferred from the iPhone. As for JSON vs XML, obviously JSON is more lightweight which makes it a better candidate for the iPhone generally, but if your data requires a representation more complex than JSON can offer, then go with XML. Don't do SOAP if you can at all avoid it. It's just too heavyweight and will drain the iPhone's battery much more quickly with many requests.
If you are curious about the architecture and implementation details of a data-driven iPhone app, take a look at all of Apple's docs and tutorials about Core Data on the iPhone.
I'm thinking about using semantic (web) technologies like RDF and OWL in an application on mobile devices. Currently I'm targeting android, but I'd also be interested in the possibilities on the iPhone and on J2ME.
I would like to use a library instead of implementing everything from scratch.
I know that there are some libraries/frameworks like Jena, Redland, Protégé but they don't state on which platforms they are known to work.
Having a dynamic object model and parsing from and to XML are must-haves for me.
I'd also like to use reasoning, but I've been told it was rather computing-intensive, so that's only a nice-to-have.
For all platforms mentioned, the question can be interpreted as
Is it possible in theory? (especially for J2ME I'm not sure)
Are there libraries that are known to work on those platforms?
Is the performance on a mobile platform good enough for real world usage?
You wrote you want J2ME, but other readers might be interested in C#.
Mono makes C# available on iPhone and Android. Once that is done, you can use ROWLEX to deal with RDF and OWL. You might consider reading this Stackoverflow question.
Maybe look into IYOUIT. It is a
mobile application developed in
Python, and running on Nokia Series 60
phones.
It uses OWL and reasoning. You can read the details in this paper.
There's Jena port to Android platform here.
http://code.google.com/p/androjena/
If this is a client-server type application and you have some control over the server, I would do the semantic web stuff server-side, and hand the relevant information to your view client on the mobile device.
A more general answer to your question title is Mosembro, a browser for Android that utilizes Microformats for semantic data. It doesn't do any non-trivial computations with the data, however.
if you have no limit as to use a certain framework, you can use REST api to handle server-client interactions.
more information here.