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EN
The aim of this paper is to provide a corpus-based analysis of one type of Czech proper nouns (type Zubří). We will argue that the adequate annotation (lemmatisation and morphological tagging) of proper nouns type Zubří depends on several circumstances: 1) the coverage of the dictionary of the automatic analyser; 2) the accurate description of the variability of inflexion forms; 3) the non-trivial disambiguation of numerous homonymous word forms. We believe that while meeting the first two conditions is possible, the adequate disambiguation goes beyond the possibilities of automatic morphological analysis.
EN
Homonymy at all levels, which is a distinct feature of all natural languages, is also one of the most significant obstacles to automatic natural language processing. In this paper, we will point out the morphosyntactic differences of Czech anthroponyms ending in -slav ( Miroslav-type, masculine) and Czech oikonyms with the same ending (Miroslav-type, feminine) and Czech anthroponyms ending in -slava (Miroslava-type feminine, because its forms are homonymous with both: masculine anthroponyms and feminine oikonyms). The analysis of data from the Syn v8 corpus shows that word form homonymy significantly influences the results of automatic morphological analysis. We will document errors in the coverage of the automatic analyzer dictionary and, above all, errors in morphological tagging, and we will propose a solution to partially improve the automatic disambiguation of the given type of proper nouns.
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