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| Content Provider | Springer Nature Link |
|---|---|
| Author | Wechsler, Martin Munteanu, Eugen Schäuble, Peter |
| Copyright Year | 2000 |
| Abstract | This paper presents four novel techniques for open-vocabulary spoken document retrieval: a method to detect slots that possibly contain a query feature; a method to estimate occurrence probabilities; a technique that we call collection-wide probability re-estimation and a weighting scheme which takes advantage of the fact that long query features are detected more reliably. These four techniques have been evaluated using the TREC-6 spoken document retrieval test collection to determine the improvements in retrieval effectiveness with respect to a baseline retrieval method. Results show that the retrieval effectiveness can be improved considerably despite the large number of speech recognition errors. |
| Starting Page | 173 |
| Ending Page | 188 |
| Page Count | 16 |
| File Format | |
| ISSN | 13864564 |
| Journal | Information Retrieval |
| Volume Number | 3 |
| Issue Number | 3 |
| e-ISSN | 15737659 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 2000-01-01 |
| Publisher Place | Boston |
| Access Restriction | Subscribed |
| Subject Keyword | Data Structures, Cryptology and Information Theory Management of Computing and Information Systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Library and Information Sciences Information Systems |
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