no code implementations • LREC 2020 • Attila Nov{\'a}k, L{\'a}szl{\'o} Laki, Borb{\'a}la Nov{\'a}k
The model can thus efficiently answer questions such as What do we eat?, What can we do with a skeleton?
no code implementations • LREC 2020 • Andrea D{\"o}m{\"o}t{\"o}r, Zijian Gy{\H{o}}z{\H{o}} Yang, Attila Nov{\'a}k
We created a tool based on the state-of-the-art transformer architecture implemented in Marian NMT framework that can identify and mark the location of zero copulas, i. e. the position where an overt copula would appear in the non-default cases.
no code implementations • WS 2019 • Attila Nov{\'a}k, L{\'a}szl{\'o} Laki, Borb{\'a}la Nov{\'a}k, Andrea D{\"o}m{\"o}t{\"o}r, No{\'e}mi Ligeti-Nagy, {\'A}gnes Kalivoda
In this article, an ongoing research is presented, the immediate goal of which is to create a corpus annotated with semantic role labels for Hungarian that can be used to train a parser-based system capable of formulating relevant questions about the text it processes.
no code implementations • LREC 2016 • Attila Nov{\'a}k, Borb{\'a}la Sikl{\'o}si, Csaba Oravecz
The goal of this paper is to describe a fast and customizable morphological analyzer and its development framework, which synthesizes and further enriches the morphological knowledge implemented in previous tools existing for Hungarian.
no code implementations • LREC 2014 • Attila Nov{\'a}k
MorphoLogic{'}s Humor morphological analyzer engine has been used for the development of several high-quality computational morphologies, among them ones for complex agglutinative languages.