Investigating Cross-Language Speech Retrieval for a Spontaneous Conversational Speech Collection
نویسندگان
چکیده
Cross-language retrieval of spontaneous speech combines the challenges of working with noisy automated document transcripts and language translation. The CLEF 2005 Cross-Language Speech Retrieval (CL-SR) task provides a standard test collection to investigate these challenges. In our experimental investigation we show that we can improve retrieval performance by careful selection of the term weighting scheme and by combining the automatic transcripts with manually-assigned metadata. We further show that online machine translation resources can be used for topic translation to give effective CL-SR.
منابع مشابه
Examining the Contributions of Automatic Speech Transcriptions and Metadata Sources for Searching Spontaneous Conversational Speech
The searching spontaneous speech can be enhanced by combining automatic speech transcriptions with semantically related metadata. An important question is what can be expected from search of such transcriptions and different sources of related metadata in terms of retrieval effectiveness. The Cross-Language Speech Retrieval (CL-SR) track at recent CLEF workshops provides a spontaneous speech te...
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