1. A translation result providing method using a computer, the method comprising: generating, by a processor, candidate translation sentences by translating a source sentence of a source language into a target language using at least one of a rule-based machine translation model or a statistics-based machine translation model; classifying, by the processor, the candidate translation sentences into semantic categories, respectively, based on a condition related to attributes of the candidate translation sentences, the attributes including at least one of a writing style, a mood, a tense, or linguistic norm; and providing, by the processor, at least one of the classified candidate translation sentences as a translation result, wherein the providing includes displaying a first classified candidate translation sentence, from among the classified candidate translation sentences, which satisfies the condition in a first region of a screen and displaying a second classified candidate translation sentence, from among the classified candidate translation sentences, which does not satisfy the condition in a second region of the screen, and the first region and the second region are visually distinguished from each other on the screen.
15. The method of claim 1 , further comprising: generating information regarding a personality of a user by analyzing user information on Internet; and predicting and automatically setting a specific semantic category, from among the semantic categories, based on the analyzed user information.