Topic Labeling of Multilingual Broadcast News in the Informedia Digital Video Library
نویسندگان
چکیده
Informedia Digital Video Library Alexander G. Hauptmann, Danny Lee and Paul E. Kennedy Abstract The Informedia Digital Video Library Project includes a multilingual component for retrieval of video documents in multiple languages and a topic-labeling component for English video documents. We now extend this capability to English topic labeling of foreign-language broadcast-news stories. News stories are coarsely machine-translated into English, then assigned to a topic category using a K-nearest-neighbor algorithm. In preliminary tests on Croatian television news, topic assignment based on the best available machine translation technology showed performance only 8% worse (on a standard F-measure of performance) than that based on manual document translation. Using a phrase-based MT module the performance degradation was 31%.
منابع مشابه
Topic Labeling of Multilingual Broadcast News in the Informedi
The Informedia Digital Video Library Project includes a multilingual component for retrieval of video documents in multiple languages and a topic-labeling component for English video documents. We now extend this capability to English topic labeling of foreign-language broadcast-news stories. News stories are coarsely machine-translated into English, then assigned to a topic category using a K-...
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