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Daza, Angel |
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This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled English sentences) into the target side (for example a German translation of the sentence) by transferring the label into the best-aligned target word. This newly labeled data can be used to train different multilingual SOTA models to improve performance, especially for the lower-resource languages. |
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Daza, Angel 1989- VerfasserIn (DE-588)1203323360 (DE-627)1688152938 aut, X-SRL dataset and mBERT word aligner Angel Daza, Heidelberg Universität 2021-02-17, 1 Online-Ressource (2 Files), Text txt rdacontent, Computerdaten cod rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Kind of data: Program source code, Gesehen am 18.02.2021, This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled English sentences) into the target side (for example a German translation of the sentence) by transferring the label into the best-aligned target word. This newly labeled data can be used to train different multilingual SOTA models to improve performance, especially for the lower-resource languages., Forschungsdaten (DE-588)1098579690 (DE-627)857755366 (DE-576)469182156 gnd-content, Datenbank (DE-588)4011119-2 (DE-627)106354256 (DE-576)208891943 gnd-content, Forschungsdaten zu Daza, Angel, 1989 - X-SRL 2020 (DE-627)1748602551, https://doi.org/10.11588/data/HVXXIJ Verlag Resolving-System lizenzpflichtig Volltext, https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/HVXXIJ Verlag kostenfrei Volltext, https://doi.org/10.11588/data/HVXXIJ LFER, https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/HVXXIJ LFER, LFER 2021-03-09T06:32:08Z |
| spellingShingle |
Daza, Angel, X-SRL dataset and mBERT word aligner, This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled English sentences) into the target side (for example a German translation of the sentence) by transferring the label into the best-aligned target word. This newly labeled data can be used to train different multilingual SOTA models to improve performance, especially for the lower-resource languages., Forschungsdaten, Datenbank |
| title |
X-SRL dataset and mBERT word aligner |
| title_auth |
X-SRL dataset and mBERT word aligner |
| title_full |
X-SRL dataset and mBERT word aligner Angel Daza |
| title_fullStr |
X-SRL dataset and mBERT word aligner Angel Daza |
| title_full_unstemmed |
X-SRL dataset and mBERT word aligner Angel Daza |
| title_short |
X-SRL dataset and mBERT word aligner |
| title_sort |
x srl dataset and mbert word aligner |
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Forschungsdaten, Datenbank |
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Forschungsdaten, Datenbank |
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https://doi.org/10.11588/data/HVXXIJ, https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/HVXXIJ |
