Ablation study: What level of linguistic detail is needed for word-level modelling?
<td>As NLP (Natural language processing) tools are expanded to include new languages one of the big bottlenecks is labelled data availability. This issue is particularly acute for low-resource languages. So the question of annotation detail and quality is important. How much detail is needed for supervised learning? Is there a minimum number of labels to capture linguistic patterns?
Saliha is currently a PhD Candidate at the School of Culture, History and Language.
Computational linguistics, computational morphology, computational phonology, NLP, computational modelling, cognitive modelling, information theory, morphological learning, low-resource languages, language documentation