{'fraction_non_alphanumeric': 0.021346469622331693, 'fraction_numerical': 0.0016420361247947454, 'mean_word_length': 4.754716981132075, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Multi-lingual Multi-media Information Retrieval System

Aiming to realize such a system, we build the prototype MLMMIR system, called BOSS [7]. BOSS can retrieve a mixture of various kinds of useful data by first translating the contents that are included in lingual and media data into Japanese keywords, and then providing them to the Japanese IR engine that we developed. The performance of the system depends heavily on the Japanese IR engine, and the overall system is now under construction. Therefore, we limit the range of evaluation to not the overall system but the Japanese IR engine of the system.