Original title:
Tvorba závislostního korpusu pro jorubštinu s využitím paralelních dat
Translated title:
Tvorba závislostního korpusu pro jorubštinu s využitím paralelních dat
Authors:
Oluokun, Adedayo ; Zeman, Daniel (advisor) ; Rosa, Rudolf (referee) Document type: Master’s theses
Year:
2018
Language:
eng Abstract:
The goal of this thesis is to create a dependency treebank for Yorùbá, a language with very little pre-existing machine-readable resources. The treebank follows the Universal Dependencies (UD) annotation standard, certain language-specific guidelines for Yorùbá were specified. Known techniques for porting resources from resource-rich languages were tested, in particular projection of annotation across parallel bilingual data. Manual annotation is not the main focus of this thesis; nevertheless, a small portion of the data was verified manually in order to evaluate the annotation quality. Also, a model was trained on the manual annotation using UDPipe.
Keywords:
annotation; dependency parsing; low-resource; parallel data; part-of-speech tagging; projection; UDPipe; jazyky s nedostatečnými zdroji; universal dependencies; závislostní syntax
Institution: Charles University Faculties (theses)
(web)
Document availability information: Available in the Charles University Digital Repository. Original record: http://hdl.handle.net/20.500.11956/101633