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Automatické vyhledávání termínů a jeho dopad na definici termínu

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Šrajerová D.
Časopis pro moderní filologii (Journal for Modern Philology)
|
2009
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vol. 91
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issue 1
1-20
EN
The paper presents a new corpus-driven method for automatic term recognition (ATR) based on data-mining techniques. In our research, ATR is seen as a valuable resource for the theory of terminology. The main goal of our approach is not the recognition of terms in given academic disciplines but rather a contribution to the definition of the notion “term”. The basis for such definition improvement is provided by feature-ranking, which is a built-in function of the data-mining tools and is able to determine the impact of individual statistical and linguistic features of word-forms on the accuracy of the ATR method. One of the basic characteristics of a term, its terminological strength (or termhood) depends on the combination of the most significant features in a given word-form.
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