Learning collection fusion strategies
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Experiments in multilingual information retrieval using the SPIDER system
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Phrasal translation and query expansion techniques for cross-language information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A spoken-access approach for Chinese text and speech information retrieval
Journal of the American Society for Information Science - Special topic issue on digital libraries: part 2
Subword-based approaches for spoken document retrieval
Subword-based approaches for spoken document retrieval
Should we translate the documents or the queries in cross-language information retrieval?
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
Speech retrieval based on automatic indexing
MIRO'95 Proceedings of the Final conference on Multimedia Information Retrieval
Translation techniques in cross-language information retrieval
ACM Computing Surveys (CSUR)
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We describe a system which supports English text queries searching for Mandarin Chinese spoken documents. This is one of the first attempts to tightly couple speech recognition with machine translation technologies for cross-media and cross-language retrieval. The Mandarin Chinese news audio are indexed with word and subword units by speech recognition. Translation of these multi-scale units can effect cross-language information retrieval. The integrated technologies will be evaluated based on the performance of translingual speech retrieval.