engleski

Finding Multiword Term Candidates in Croatian

The paper presents the research in the field of statistical processing of a corpus of texts in Croatian with the primary aim of finding statistically significant co-occurrences of n-grams of tokens (digrams , trigrams and tetragrams). The collocations found with this method present the list of candidates for multiword terminological units submitted to terminologists for further processing i.e. manual selecting of the &#8220 ; real terms&#8221 ; . The statistical measure of co-occurrence used is mutual information (MI3) accompanied with linguistic filters: stop-words and POS. The results on non-lemmatized material of a highly inflected lan-guage such as Croatian show that MI measure alone is not sufficient to find satisfactory number of multi-word term candidates. In this case the usage of absolute frequency combined with linguistic filtering techniques gives broader list of candidates for real terms.

Croatian Language; multiword terms; term candidates; statistical processing; mutual information

nije evidentirano