Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion
| Autor: | Reuben Raff, Winnie Yan, Yeonju Lee-Sikka, Arundhati Sengupta, Travis M. Bartley, Kyle Gorman, Yulia Spektor, Omar Ortiz, Aidan Malanoski, Bora Seo, Lucas F.E. Ashby, Simon Clematide, Luca Del Signore, Cameron Gibson, Peter Makarov, Sean Miller |
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| Přispěvatelé: | University of Zurich |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
business.industry Grapheme Word error rate 410 Linguistics 000 Computer science knowledge & systems computer.software_genre Task (project management) Component (UML) 10105 Institute of Computational Linguistics Artificial intelligence business Baseline (configuration management) computer Quality assurance Natural language processing |
| Popis: | Grapheme-to-phoneme conversion is an important component in many speech technologies, but until recently there were no multilingual benchmarks for this task. The second iteration of the SIGMORPHON shared task on multilingual grapheme-to-phoneme conversion features many improvements from the previous year’s task (Gorman et al. 2020), including additional languages, a stronger baseline, three subtasks varying the amount of available resources, extensive quality assurance procedures, and automated error analyses. Four teams submitted a total of thirteen systems, at best achieving relative reductions of word error rate of 11% in the high-resource subtask and 4% in the low-resource subtask. |
| Databáze: | OpenAIRE |
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