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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Caschera, M.C. Ferri, F. Grifoni, P. |
| Copyright Year | 2013 |
| Abstract | The pervasiveness of ambiguity in communication processes suggests addressing the problem of semantic and syntactic ambiguities in multimodal interaction languages. This paper presents an integrated model based on layered, hierarchical, and hidden Markov models for dealing with the complex process of multimodal ambiguity resolution. The proposed model consists of different levels, from the terminals of a multimodal language (terminal elements) to the level of multimodal sentences. A software module implemented the model that has been evaluated in terms of accuracy and robustness. The experimental results show good levels of accuracy and robustness compared with other existing approaches. |
| Starting Page | 911 |
| Ending Page | 931 |
| Page Count | 21 |
| File Size | 3268848 |
| File Format | |
| ISSN | 21682216 |
| Volume Number | 43 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hidden Markov models Context Semantics Production Vegetation Indexes Speech languages Hidden Markov models (HMMs) human–machine interaction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Information Systems Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications Software |
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