Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Refine search results

System messages
  • Session was invalidated!
  • Session was invalidated!

Results found: 1

first rewind previous Page / 1 next fast forward last

Search results

help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
EN
The paper discusses and compares several semi-automatic methods used to extract neologisms from linguistic corpora. All the methods are based on the concept of discriminants, or textual features (both lexis and punctuation), that either precede (lexical discriminants) or confine (punctuation discriminants) phrases in which the occurrence of neologisms is higher than elsewhere in the text. Excerption and comparison was conducted on a corpus of 45 million words, articles from Nature scientific magazine. The putative neologisms were extracted using morphological analysis and frequency of their occurrence in the Google search engine. The result is a list of 1000 neologisms and assessment of the efficacy of each method.
PL
The paper discusses and compares several semi-automatic methods used to extract neologisms from linguistic corpora. All the methods are based on the concept of discriminants, or textual features (both lexis and punctuation), that either precede (lexical discriminants) or confine (punctuation discriminants) phrases in which the occurrence of neologisms is higher than elsewhere in the text. Excerption and comparison was conducted on a corpus of 45 million words, articles from Nature scientific magazine. The putative neologisms were extracted using morphological analysis and frequency of their occurrence in the Google search engine. The result is a list of 1000 neologisms and assessment of the efficacy of each method. 
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.