14. A speech recognition method comprising: performing speech recognition using any one or any combination of any two or more of a pronunciation dictionary comprising primitive words, and a language model comprising the primitive words, the primitive words being formed of deconstructed compound words; and correcting word spacing in a result of speech recognition using a word-spacing model, wherein spaces interposed between primitive words of deconstructed compound words are adaptively removed from the result of speech recognition to reconstitute the compound words.
14. A speech recognition method comprising: performing speech recognition using any one or any combination of any two or more of a pronunciation dictionary comprising primitive words, and a language model comprising the primitive words, the primitive words being formed of deconstructed compound words; and correcting word spacing in a result of speech recognition using a word-spacing model, wherein spaces interposed between primitive words of deconstructed compound words are adaptively removed from the result of speech recognition to reconstitute the compound words. 16. The speech recognition method of claim 14 , wherein the performing of the speech recognition comprises extracting a feature vector from an input speech signal, and detecting a primitive word string of a substantially highest probability from any one or any combination of any two or more of the extracted feature vector based on an acoustic model, the pronunciation model, and the language model.