Phoneme based realtime taboo words similarity browsing system of new words using multi-lingual taboo words databases in web environments

This paper proposes the taboo words similarity browsing system which is able to assist the naming process. The proposed system in this paper analyzes new texts - new words or sentences - into phonemes, compares their similarities of pronunciations between new words and taboo words from various language cultural areas. The system supports the effective visualization interfaces in order to visualize and analyze the comparison results of similarity with taboo words which can be a primary factor decreasing the image about the brands in the specific cultural area.