{'fraction_non_alphanumeric': 0.013846153846153847, 'fraction_numerical': 0.012307692307692308, 'mean_word_length': 6.0, '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}}
University of Chicago at the CLEF 2007 Cross Language Speech Retrieval Track

The University of Chicago participated in the CLEF 2007 CL-SR track, performing monolingual retrieval for both English and Czech and cross-language French-English retrieval. English experiments considered the impact of automatically generated keywords on retrieval. Czech experiments explored the eect of dierent stemming approaches on retrieval for this morphologically rich language. The best results for English employed automatically generated keywords, and the best results for Czech employed stemming strategies which significantly outperformed unstemmed techniques.