CSPC 2021 has ended
avatar for Manuel Mager

Manuel Mager

Universität Stuttgart
PhD student

 Computer Science and Computer Linguistics/ Natural Language Processing student. My main aim is the inclusion of minority and indigenous languages into scientific research. Influential works and conferences: -Tackling the Low-resource Challenge for Canonical Segmentation. -Subword-Level Language Identification for Intra-Word Code-Switching. -Low resource neural character-based noisy text normalization. -Challenges of language technologies for the indigenous languages of the Americas Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages 16th Annual Conference of the North American Chapter of the 

Association for Computational Linguistics: Human Language Technologies NAACL HLT 2018 Probabilistic Finite-State morphological segmenter for Wixarika (huichol) language.