Search Results for author: Attila Nov{\'a}k

Found 12 papers, 0 papers with code

Much Ado About Nothing -- Identification of Zero Copulas in Hungarian Using an NMT Model

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.

NMT

Creation of a corpus with semantic role labels for Hungarian

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.

A New Integrated Open-source Morphological Analyzer for Hungarian

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.

A New Form of Humor --- Mapping Constraint-Based Computational Morphologies to a Finite-State Representation

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.

Morphological Analysis Speech Recognition

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