Making Morphologies the “Easy” Way

  • Attila NovákEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9041)


Computational morphologies often consist of a lexicon and some rule component, the creation of which requires various competences and considerable effort. Such a description, on the other hand, makes an easy extension of the morphology with new lexical items possible. Most freely available morphological resources, however, contain no rule component. They are usually based on just a morphological lexicon, containing base forms and some information (often just a paradigm ID) identifying the inflectional paradigm of the word, possibly augmented with some other morphosyntactic features. The aim of the research presented in this paper was to create an algorithm that makes the integration of new words into such resources similarly easy to the way a rule-based morphology can be extended. This is achieved by predicting the correct paradigm for words not present in the lexicon. The supervised machine learning algorithm described in this paper is based on longest matching suffixes and lexical frequency data, and is demonstrated and evaluated for Russian.


morphology paradigm prediction Russian 


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© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.MTA-PPKE Hungarian Language Technology Research GroupPázmány Péter Catholic UniversityBudapestHungary
  2. 2.Faculty of Information Technology and BionicsPázmány Péter Catholic UniversityBudapestHungary

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