MORPHOLOGICAL ERROR TAXONOMY AS A ROUTING MECHANISM IN HYBRID NLP SYSTEMS FOR THE KAZAKH LANGUAGE
Abstract. The Kazakh language is designed so that grammatical information is distributed along a chain of affixes, rather than concentrated in individual words. This in itself creates difficulties for automated systems. The situation is further complicated by the constant influx of Russian and English borrowings, which are partially dislodged from the phonological logic of the […]