Universität des Saarlandes (Saarland University)
Feel free to contact me at babdullah (at) lsv dot uni-saarland dot de
+49 681 302 58 133
My principal research interest is to bridge between well-defined linguistic theories and data-driven statistical approaches to speech and language processing. My current research aims at developing quantitative methods to measure mutual intelligibility and inter-comprehension among closely-related languages, targeting the Slavic language family as a case study. I am also interested in Multilingual Speech and Language Processing, Representation Learning for NLP, Multitask Transfer Learning, and Linguistic Typology in NLP.
- Rediscovering the Slavic Continuum in Representations Emerging from Neural Models of Spoken Language Identification
Badr M. Abdullah, Jacek Kudera, Tania Avgustinova, Bernd Möbius, Dietrich Klakow
In Proceedings of the Seventh Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial), at COLING 2020.
- Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages
Badr M. Abdullah, Tania Avgustinova, Bernd Möbius, Dietrich Klakow
In Proceedings of the 21st Annual Conference of the International Speech Communication Association (INTERSPEECH), October 26-29, 2020.