How to build a machine translation system for a new language
I think your case would benefit from tunning a existing language to the new one but that is only a good approach if you plan to use it commercially. Also Google accepts help to improve their translation algorithm and you could petition for them to assemble a team for this and donate data.

Google uses a Neural Network that they call Google's NMT (Neural Machine Translation) for translation and it works as a encoder-decoder pair. You can read more on their paper.

Also, Google's NMT is available in tensorflow and can be trainned and improved. It is license under Apache License 2.0 and has a nice tutorial and explanation available on their GitHub: 

Check on this GitHub folder here