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Multimedia Tools and Applications

, Volume 61, Issue 2, pp 353–388 | Cite as

A multimodal alignment framework for spoken documents

  • Dalila MekhaldiEmail author
  • Denis Lalanne
  • Rolf Ingold
Article

Abstract

We present a multimodal document alignment framework, which highlights existing alignment relationships between documents that are discussed and recorded during multimedia events such as meetings. These relationships that should help indexing the archives of these events are detected using various techniques from natural language processing and information retrieval. The main alignment strategies studied are based on thematic, quotation and reference relationships. At the analysis level, the alignment framework was applied at several levels of granularity of documents, requiring specific document segmentation techniques. Our framework that is language independent was evaluated on corpora in French and English, including meetings and scientific presentations. The satisfactory evaluation results obtained at several stages show the importance of our approach in bridging the gap between meeting documents, independently from the language and domain. They highlight also the utility of the multimodal alignment in advanced applications, e.g. multimedia document browsing, content-based / temporal-based searching, etc.

Keywords

Multimodal document Document structure Thematic alignment Quotation alignment Reference alignment 

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Computational Linguistics GroupUniversity of WolverhamptonWolverhamptonUK
  2. 2.Department of InformaticsUniversity of FribourgFribourgSwitzerland

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