I wonder what kind of metrics could be achieved simply by measuring how many mAhs it takes from google translate to translate from one language to another? EDI

I wonder what kind of metrics could be achieved simply by measuring how many mAhs it takes from google translate to translate from one language to another? EDIT: Put simply, converting understandable sentences from one language to another is a lot more than just counting word frequences. Sorry having been mentioned an actual company name there! I just wrote a lenghty text in Finnish and had it translated by an on-line service to English. Suprisingly, it wasn't the vocabulary but is was the structure that mattered. The machince got 99% of the words right, but it lost the meaning in 1/10 of the cases. EDIT2: Not really sure who I am arguing here, on a stale thread, but I just have to finish the thought. So it takes a measureable amount of work to analyze a sentence in a language into an abstract syntax tree. An another amount of work to synthetize that back into an understandable sentence in another language. The average sum of that work for all given sentences is the lingual distance of the two languages. No? Of course all language analyzers and synthetizers are not equally good. What caught my eye, however, was how poor English a network translator was able to produce out of my Finnish. I'm pretty sure (althought the jury is still out on that) that the Russian it produced out of the same origin was remarkably more understandable. The main reason being the liberal word order. I somehow assumed the english synthetizer would have been the top of the line. Turned out if wasn't. Or else the language model was not deep enough, which actually is a more plausible explanation. Ok, thanks!