Productivity<span lang="EN-GB"> of deverbal suffixal nouns in the Joint Corpus of </span><span lang="EN-GB">Lithuanian</span>

We use the Joint Corpus of Lithuanian (1.3 billion tokens) to estimate the derivational productivity of the main suffixes of deverbal nouns in Lithuanian. We measure their realized, expanding, and potential productivity (Baayen 1992; 1993) and compare our rankings to the ones found in the main grammars and studies of neologisms. In general, the ordering of the suffixes according to their realized and expanding productivity is similar to the one found in earlier studies. The rankings according to potential productivity, however, in many cases proved to be less usable because suffixes with lower total frequencies of their formations appear to be overestimated when compared to suffixes having high total frequencies.

Authors

Publication Details

Journal
Baltistica
Published
2024-12-31
DOI
https://doi.org/10.15388/baltistica.59.1.2542
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.35
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article

Productivity<span lang="EN-GB"> of deverbal suffixal nouns in the Joint Corpus of </span><span lang="EN-GB">Lithuanian</span>

Agnė Navickaitė-Klišauskienė, Virginijus Dadurkevičius, Jurgis Pakerys
1 citations
Baltistica
Natural Language Processing Techniques
0.35
article

Productivity<span lang="EN-GB"> of deverbal suffixal nouns in the Joint Corpus of </span><span lang="EN-GB">Lithuanian</span>

Agnė Navickaitė-Klišauskienė, Virginijus Dadurkevičius, Jurgis Pakerys
article en
1 citations

Abstract

We use the Joint Corpus of Lithuanian (1.3 billion tokens) to estimate the derivational productivity of the main suffixes of deverbal nouns in Lithuanian. We measure their realized, expanding, and potential productivity (Baayen 1992; 1993) and compare our rankings to the ones found in the main grammars and studies of neologisms. In general, the ordering of the suffixes according to their realized and expanding productivity is similar to the one found in earlier studies. The rankings according to potential productivity, however, in many cases proved to be less usable because suffixes with lower total frequencies of their formations appear to be overestimated when compared to suffixes having high total frequencies.

BaltisticaVol. 59(1)
Decent work and economic growth
Openalex Percentile: Top 30%
Natural Language Processing Techniques
0.35
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