However, it is originally designed to handle open-vocabulary problem in machine translation, basing on the intuition that various word classes are translatable via smaller units than words, for instance names (via character copying or transliteration), compounds (via compositional translation), and cognates and loanwords (via phonological and morphological transformations).
compared with semantic characteristics, morphological and compounding characteristics are more considered.