Influence of speech recognition errors on topic detection (poster session)
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Supporting access to large digital oral history archives
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Perspectives on Information Retrieval and Speech
Information Retrieval Techniques for Speech Applications [this book is based on the workshop “Information Retrieval Techniques for Speech Applications”, held as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in New Orleans, USA, in September 2001].
The CLEF 2001 Interactive Track
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
Signal boosting for translingual topic tracking: document expansion and n-best translation
Topic detection and tracking
Entry vocabulary: a technology to enhance digital search
HLT '01 Proceedings of the first international conference on Human language technology research
Inducing multilingual text analysis tools via robust projection across aligned corpora
HLT '01 Proceedings of the first international conference on Human language technology research
Mandarin-English Information (MEI): investigating translingual speech retrieval
HLT '01 Proceedings of the first international conference on Human language technology research
Access to recorded interviews: A research agenda
Journal on Computing and Cultural Heritage (JOCCH)
Disclosing spoken culture: user interfaces for access to spoken word archives
BCS-HCI '08 Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction - Volume 1
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The MALACH project seeks to help users find information in a vast multilingual collections of untranscribed oral history interviews. This paper introduces the goals of the project and focuses on supporting access by users who are unfamiliar with the interview language. It begins with a review of the state of the art in cross-language speech retrieval; approaches that will be investigated in the project are then described. Czech was selected as the first non-English language to be supported, so results of an initial experiment with Czech/English cross-language retrieval are reported.