Automatické vyhledávání termínů a jeho dopad na definici termínu

• Authors: Dominika Šrajerová

Title variants

EN

THE IMPACT OF AUTOMATIC TERM RECOGNITION ON THE DEFINITION OF A TERM

• Languages of publication: CS

Abstracts

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.

Keywords

EN

TERM; TERMINOLOGY; AUTOMATIC TERM RECOGNITION; TERMHOOD; DATA-MINING; FEATURERANKING

Discipline

• PHILOLOGY_&_LINGUISTICS: PHILOLOGY & LINGUISTICS

• Publisher: Charles University in Prague, Faculty of Arts, Czech Republic
• Journal: Časopis pro moderní filologii (Journal for Modern Philology)
• Year: 2009
• Volume: 91
• Issue: 1
• Pages: 1-20

Contributors

author

Dominika Šrajerová

• Časopis pro moderní filologii, redakce, Ústav pro jazyk český AV ČR, v. v. i., Letenská 4, 118 51 Praha 1, Czech Republic