{'fraction_non_alphanumeric': 0.030303030303030304, 'fraction_numerical': 0.0009775171065493646, 'mean_word_length': 5.440251572327044, '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}}
Manually annotated Hungarian corpus

Current paper presents the results of a two-year project during which a consortium of the University of Szeged and the MorphoLogic Ltd. Budapest developed a morpho-syntactically parsed and annotated (disambiguated) corpus for Hungarian. For morpho-syntactic encoding, the Hungarian version of MSD (Morpho-Syntactic Description) has been used. The corpus contains texts of five different topic areas: schoolchildren's compositions, fiction, computer-related texts, news, and legal texts. During annotation, linguists have checked the morpho-syntactic parsing of each word. Finding part-of-speech tagging (disambiguation) rules by machine learning algorithms was also studied by the researchers of the consortium. Due to the fact that the size of the corpus reaches up to 1 million text words without punctuation characters, it may serve as a reference source for numerous future research applications. The corpus can be obtained freely via Internet for research and educational purposes.