K efektivitě manuální a poloautomatické excerpce neologismů

• Authors: Jakub Sláma

Title variants

EN

On the efficiency of manual and semi-automatic detection of neologisms

• Languages of publication: CS

Abstracts

EN

The paper presents a simple semi-automatic neologism detection procedure: a trivial Python script processes a text file, making use of a Czech morphological tagger, and extracts all words unrecognized by the tagger as potential neologisms. The list of these candidates has to be checked by a human (hence the label semi-automatic). This method was applied to a set of texts that were also analyzed in a more traditional way, by the “reading and marking” technique (i.e. the current practice). The comparison of the two methods has revealed that the semi-automatic procedure clearly outperforms the current practice both in speed and in efficiency.

Keywords

CS

manuální excerpce neologismů; neologismy; poloautomatická excerpce neologismů; Python; sběr dat

EN

data collection; manual detection of neologisms; neologisms; Python; semi-automatic detection of neologisms

Discipline

• PHILOLOGY_&_LINGUISTICS: PHILOLOGY & LINGUISTICS

• Publisher: Institute of the Czech Language, Czech Academy of Sciences
• Journal: Naše řeč (Our Speech)
• Year: 2019
• Volume: 102
• Issue: 1-2
• Pages: 64-75
• Document type: ARTICLE

Contributors

author

Jakub  Sláma

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