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EN
Adjectives ending with -oucí/-ící are regularly derived from verbs and hence are not usually listed in any of the Czech monolingual dictionaries. On the level of automatic morphological analysis (the dictionary) of Czech they should be generated from verbal roots and tagged as verbal adjectives (pos tag: AG.*). The data from Czech corpora prove a) inconsistencies in tagging and b) gaps in the dictionary. The main cause of both kinds of insufficiency is the existence of variants on the level of verbal forms from which the verbal adjectives are potentially derived. Consequently, text corpora are a significant source of knowledge about the formation and use of adjectives with endings -oucí/-ící that can be important for both a) automatic morphological analysis of Czech and b) theoretical description of Czech grammar (derivational morphology). Our goal is to present a corpus-based study of the Czech gerund, i.e. verbal adjectives with -oucí/-ící. The link between the inflected and the word-formation variants will be demonstrated using material from the SYN corpus (2,6 billion tokens of written Czech) and the large web corpus czTenTen12 (5,2 billion tokens of Czech text from the Internet — cleaned and deduplicated).
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Nová automatická morfologická analýza češtiny

100%
EN
A detailed morphological description of word forms in any language is one of the necessary conditions for the successful automatic processing of linguistic data. The aim of this paper is to present a project aimed at a new description of Czech morphology, especially the planned changes in the tagset. The key changes are as follows: 1) the unambiguous description of variants; 2) the concept of a multiple lemma; 3) the revision of part-of-speech definitions.
EN
The paper describes the construction and testing of an electronic application for semi-automatic morphological analysis of Old English. It introduces the state of the art in the field of electronic analysis of Old English, provides a brief overview of Old English morphology and discusses the reasoning behind our theoretical framework. An account of the chosen methodology is offered and a specific description of its implementation is provided: from the acquisition and preparation of the lexical input data, through the programming of the forms generator to the testing of the results by analysing Old English text. The resulting recall of 95% is a success; however, the paper also hints at how it may be improved. It also discusses further use and development of the analyser, especially the disambiguation of its results. The paper makes a future semi-automatic morphological tagging of Old English texts a real possibility.
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