I want to write a program that looks at abbreviated words, then figures out what the words are. For example, the abbreviation is "blk comp", and the translation is "black computer".

In order to give it context for more ambiguous terms, I will be inputting sets of words with each request. So, if I input the set "keyboard, software, mouse, monitor", I would expect to get "black computer". On the other hand, if I input "Honda, transmission, mileage, Ford", I then would expect to get "black compact", or at least something that has anything to do with cars.

Any ideas what algorithm should I use for that?

I want to write a program that looks at abbreviated words, then figures out what the words are. For example, the abbreviation is "blk comp", and the translation is "black computer".

In order to give it context for more ambiguous terms, I will be inputting sets of words with each request. So, if I input the set "keyboard, software, mouse, monitor", I would expect to get "black computer". On the other hand, if I input "Honda, transmission, mileage, Ford", I then would expect to get "black compact", or at least something that has anything to do with cars.

Basing on the above case scenario, what kind of an algorithm should be applied in this case?