Naslov
Guessing the Correct Inflectional Paradigm of Unknown Croatian Words

Autori
Šnajder, Jan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the Eighth Language Technologies Conference / Erjavec, Tomaž ; Žganec Gros, Jerneja - Ljubljana, 2012, 185-190

Skup
Information Society 2012 - Eighth Language Technologies Conference

Mjesto i datum
Ljubljana, Slovenija, 08.10.2012. - 09.10.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Morphological analysis; machine learning
(Morfološka analiza; strojno učenje)

Sažetak
A real-life morphological analyzer must be able to handle properly the out-of-vocabulary words. We address the task of guessing the correct inflectional paradigm of unknown Croatian words. We frame this as a supervised machine learning problem: we train a model for deciding whether a candidate lemma-paradigm pair is correct based on a number of string- and corpus-based features. Our aim is to examine the machine learning aspect of the problem: we analyze the features and evaluate the classification accuracy using different feature subsets. We show that satisfactory level of accuracy (92%) can be achieved with SVM using a combination of string- and corpus-based features. We discuss a number of possible directions for future research.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA