GDEX for Japanese: automatic extraction of good dictionary example candidates (CROSBI ID 673236)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa
Podaci o odgovornosti
Srdanović, Irena ; Kosem, Iztok
engleski
GDEX for Japanese: automatic extraction of good dictionary example candidates
The GDEX tool, devised to assist lexicographers in identifying good dictionary examples, was initially created for the English language (Kilgarriff et al., 2008) and proved very useful in various dictionary projects (c.f. Rundell & Kilgarriff, 2011). Later on, GDEX configurations were developed for Slovene (Kosem et al., 2011, 2013) and other languages. This paper employs similar methods to design GDEX for Japanese in order to extract good example candidates from Japanese language corpora available inside the Sketch Engine system. Criteria and parameters, which were adapted to Japanese language needs, were based on the configuration for Slovene as well as the default language independent configuration available in the Sketch Engine. A number of different configurations were devised and compared in order to identify optimal values for good example identification. The paper also explores a language-learner oriented approach to good example extraction by taking into account different difficulty levels of lexemes based on the Japanese Language Proficiency Test list of words and levels. For this purposes, additional configurations were devised, which are tailored to individual levels and thus useful for language learners and lexicographers of learner’s dictionaries.
Dictionary examples ; corpus lexicography ; Japanese language ; difficulty levels ; automatic extraction
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
102-102.
2016.
objavljeno
Podaci o matičnoj publikaciji
LREC 2016 Portorož : workshop abstracts, Tenth International Conference on Language Resources and Evaluation
Kernerman, Illan ; Kosem, Iztok ; Krek, Simon ; Trap-Jensen, Lars
European Language Resources Association (ELRA)
978-2-9517408-9-1
Podaci o skupu
Tenth International Conference on Language Resources and Evaluation
radionica
23.05.2016-28.05.2016
Portorož, Slovenija