Matches in SemOpenAlex for { <https://semopenalex.org/work/W4212764071> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W4212764071 endingPage "87" @default.
- W4212764071 startingPage "80" @default.
- W4212764071 abstract "Typically, automatic syllable stress detection is posed as a supervised classification problem, for which, a classifier is trained using manually annotated (existing) syllable data and stress labels. However, in real testing scenarios, syllable data is estimated since manual annotation is not possible. Further, the estimation process could result in a mismatch between the lengths of the estimated and the existing syllable data causing no one-to-one correspondence between the estimated syllable data and the existing labels. Hence, the existing labels and estimated syllable data together cannot be used to train the classifier. This can be avoided by manually labeling the estimated syllable data, which, however, is impractical. In contrast, we, in this work, propose a method to obtain labels for estimated syllable data without using manual annotation. The proposed method considers a weighted version of the well-known Wagner–Fisher algorithm (WFA) to assign the existing labels to the estimated syllable data, where the weights are computed based on a set of three constraints defined in the proposed algorithm. Experiments on ISLE corpus show that the performance obtained on the test set for four different types of estimated syllable data are higher when the assigned labels and estimated syllable data are used for training compared to those when existing labels and existing syllable data are used. Also, the label assignment accuracy using the proposed method is found to be higher than that using a baseline scheme based on WFA." @default.
- W4212764071 created "2022-02-24" @default.
- W4212764071 creator A5042152441 @default.
- W4212764071 creator A5064062192 @default.
- W4212764071 date "2022-03-01" @default.
- W4212764071 modified "2023-09-26" @default.
- W4212764071 title "Automatic syllable stress detection under non-parallel label and data condition" @default.
- W4212764071 cites W1970026646 @default.
- W4212764071 cites W1973657629 @default.
- W4212764071 cites W2024490156 @default.
- W4212764071 cites W2038428558 @default.
- W4212764071 cites W2045956438 @default.
- W4212764071 cites W2402812677 @default.
- W4212764071 doi "https://doi.org/10.1016/j.specom.2022.02.001" @default.
- W4212764071 hasPublicationYear "2022" @default.
- W4212764071 type Work @default.
- W4212764071 citedByCount "0" @default.
- W4212764071 crossrefType "journal-article" @default.
- W4212764071 hasAuthorship W4212764071A5042152441 @default.
- W4212764071 hasAuthorship W4212764071A5064062192 @default.
- W4212764071 hasConcept C109089402 @default.
- W4212764071 hasConcept C138885662 @default.
- W4212764071 hasConcept C153180895 @default.
- W4212764071 hasConcept C154945302 @default.
- W4212764071 hasConcept C16910744 @default.
- W4212764071 hasConcept C177264268 @default.
- W4212764071 hasConcept C199360897 @default.
- W4212764071 hasConcept C204321447 @default.
- W4212764071 hasConcept C21036866 @default.
- W4212764071 hasConcept C2776145971 @default.
- W4212764071 hasConcept C2776321320 @default.
- W4212764071 hasConcept C28490314 @default.
- W4212764071 hasConcept C41008148 @default.
- W4212764071 hasConcept C41895202 @default.
- W4212764071 hasConcept C51632099 @default.
- W4212764071 hasConcept C58489278 @default.
- W4212764071 hasConcept C95623464 @default.
- W4212764071 hasConceptScore W4212764071C109089402 @default.
- W4212764071 hasConceptScore W4212764071C138885662 @default.
- W4212764071 hasConceptScore W4212764071C153180895 @default.
- W4212764071 hasConceptScore W4212764071C154945302 @default.
- W4212764071 hasConceptScore W4212764071C16910744 @default.
- W4212764071 hasConceptScore W4212764071C177264268 @default.
- W4212764071 hasConceptScore W4212764071C199360897 @default.
- W4212764071 hasConceptScore W4212764071C204321447 @default.
- W4212764071 hasConceptScore W4212764071C21036866 @default.
- W4212764071 hasConceptScore W4212764071C2776145971 @default.
- W4212764071 hasConceptScore W4212764071C2776321320 @default.
- W4212764071 hasConceptScore W4212764071C28490314 @default.
- W4212764071 hasConceptScore W4212764071C41008148 @default.
- W4212764071 hasConceptScore W4212764071C41895202 @default.
- W4212764071 hasConceptScore W4212764071C51632099 @default.
- W4212764071 hasConceptScore W4212764071C58489278 @default.
- W4212764071 hasConceptScore W4212764071C95623464 @default.
- W4212764071 hasLocation W42127640711 @default.
- W4212764071 hasOpenAccess W4212764071 @default.
- W4212764071 hasPrimaryLocation W42127640711 @default.
- W4212764071 hasRelatedWork W2063487009 @default.
- W4212764071 hasRelatedWork W2146724556 @default.
- W4212764071 hasRelatedWork W2163248137 @default.
- W4212764071 hasRelatedWork W2294712878 @default.
- W4212764071 hasRelatedWork W2567157417 @default.
- W4212764071 hasRelatedWork W265224334 @default.
- W4212764071 hasRelatedWork W3043252291 @default.
- W4212764071 hasRelatedWork W3101081936 @default.
- W4212764071 hasRelatedWork W4361185757 @default.
- W4212764071 hasRelatedWork W98693656 @default.
- W4212764071 hasVolume "138" @default.
- W4212764071 isParatext "false" @default.
- W4212764071 isRetracted "false" @default.
- W4212764071 workType "article" @default.