2002
DOI: 10.1007/3-540-46154-x_22
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Tools for Semi-automatic Assignment of Czech Nouns to Declination Patterns

Abstract: Abstract. In this paper, we present tools for semi-automatic assignment of Czech nouns to declination patterns. First, we explain the reasons for development of such tools and then we describe the structure of the system in detail. It is based on a decision tree that consists of questions and answers allowing to distinguish particular declination patterns. Finally, we provide basic statistic data that clarify the relation between the patterns we developed and the classical ones.

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“…There are two important differences between this approach and ours: smart paradigms are created exclusively by human experts, and users of smart paradigms need to have some linguistic background; for instance, an expert could decide that to correctly choose the inflection paradigm of most verbs for a particular language the infinitive and the first person plural present indicative forms are needed; dictionary developers would then provide these two forms when inserting a new verb. Bartusková and Sedlácek (2002) also present a tool for the semi-automatic assignment of words to declension patterns; their system is based on a decision tree with a question in every node. Their proposal, unlike ours, works only for nouns and is aimed at experts because of the technical nature of the questions.…”
Section: Related Workmentioning
confidence: 99%
“…There are two important differences between this approach and ours: smart paradigms are created exclusively by human experts, and users of smart paradigms need to have some linguistic background; for instance, an expert could decide that to correctly choose the inflection paradigm of most verbs for a particular language the infinitive and the first person plural present indicative forms are needed; dictionary developers would then provide these two forms when inserting a new verb. Bartusková and Sedlácek (2002) also present a tool for the semi-automatic assignment of words to declension patterns; their system is based on a decision tree with a question in every node. Their proposal, unlike ours, works only for nouns and is aimed at experts because of the technical nature of the questions.…”
Section: Related Workmentioning
confidence: 99%