{'fraction_non_alphanumeric': 0.03733955659276546, 'fraction_numerical': 0.004667444574095682, 'mean_word_length': 5.262773722627737, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 1, '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}}
SemanticVox: a multilingual video search engine

In this paper, we describe the SemanticVox project. SemanticVox aims at providing a real link between speech transcription technologies from Vecsys [8] based on LIMSI research [9] and multimedia documents analysis and retrieval technologies from the Multilingual Multimedia Knowledge Engineering Laboratory (LIC2M) of the CEA-LIST [1]. The first application of the project is a cross-lingual automatic video indexing and retrieval system based on speech transcription and video analysis. The two main novelties of the system are: (i) its ability to manage multilingual queries and documents; (ii) its innovative ranking to sort relevant documents based on a deep analysis of the syntax and semantic of the query.
 A video of this demonstration is available at http://www.eeng.dcu.ie/~hlborgne/semanticvox.wmv