Logo Logo
FAQ
Contact
Switch language to German
Neural sequence-to-sequence models for low-resource morphology
Neural sequence-to-sequence models for low-resource morphology
Not available
Not available
Kann, Katharina
2019
English
Universitätsbibliothek der Ludwig-Maximilians-Universität München
Kann, Katharina (2019): Neural sequence-to-sequence models for low-resource morphology. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics
[thumbnail of Kann_Katharina.pdf] PDF
Kann_Katharina.pdf
1MB
DOI: 10.5282/edoc.24353
URN: urn:nbn:de:bvb:19-243539

Item Type:Theses (Dissertation, LMU Munich)
Subjects:000 Computers, Information and General Reference
000 Computers, Information and General Reference > 004 Data processing computer science
400 Language
400 Language > 410 Linguistics
Faculties:Faculty of Mathematics, Computer Science and Statistics
Language:English
Date of oral examination:27. March 2019
1. Referee:Schütze, Hinrich
MD5 Checksum of the PDF-file:15774bf36a220b8f9a90a404c8d35d87
Signature of the printed copy:0001/UMC 26498
ID Code:24353
Deposited On:06. Aug 2019 10:02
Last Modified:23. Oct 2020 15:24
Repository Staff Only: item control page
Search for authors
Export

"Electronic Theses of LMU Munich" is powered by EPrints 3, which is developed by the School of Electronics and Computer Science at the University of Southampton.
Imprint - Privacy Disclaimer