A fix to issue #14.

The wrong parsing actually only happened if you used digits instead of spelled-out number words in THUB (or if Google ASR returned digits in their n-best lists).

The problem was that in the preprocessing phase, each occurrence of a word to be normalized was only replaced once. I changed it to replacing all occurrences of such words.