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1 Journal of Language Modelling

1 2024

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Detecting inflectional patterns for Croatian verb stems using class activation mappings

Ševerdija Domagoj, Čorić Rebeka, Orešković Marko, Šošić Lucian

Journal of Language Modelling

2024

Vol. 12, No. 1

43--68

All verbal forms in the Croatian language can be derived from twobasic forms: the infinitive and the present stems. In this paper, wepresent a neural computation model that takes a verb in an infinitiveform and finds a mapping to a present form. The same model can beapplied vice-versa, i.e. map a verb from its present form to its infinitive form. Knowing the present form of a given verb, one can deduceits inflections using grammatical rules. We experiment with our modelon the Croatian language, which belongs to the Slavic group of lan-guages. The model learns a classifier through these two classification tasks and uses class activation mapping to find characters in verbs contributing to classification. The model detects patterns that follow established grammatical rules for deriving the present stem form from the infinitive stem form and vice-versa. If mappings can be found between such slots, the rest of the slots can be deduced using a rule-based system.