In morphologically rich languages, a lemma can have hundreds of individual forms.
both generation and analysis of such morphological inflections are active areas of research in NLP and morphological processing has been shown to be a boon to several other down-stream applications, e.g., machine translation (Dyer et al., 2008), speech recognition (Creutz et al., 2007), parsing (Seeker and Ç etinoglu, 2015), keyword spotting (Narasimhan et al., 2014) and word embeddings (Cotterell et al., 2016b), inter alia.