{'fraction_non_alphanumeric': 0.03163444639718805, 'fraction_numerical': 0.014059753954305799, 'mean_word_length': 4.7, '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}}
Automatic Term Recognition in Polish Texts

Although ATR has been in the research focus for over a decade now, most approaches have been developed for highly positional languages, whereas only a few efforts have been made for Slavic languages which have a richer morphological inflection and a more relaxed word order, e.g., Vintar (2004) (for Slovene) and Nenadic et al. (2003) (for Serbian). In this paper, we report on our experiments in adopting the same method which was used for the other two Slavic languages and applying it to term extraction from Polish texts.