Papers by Zijian Győző Yang
Much Ado About Nothing – Identification of Zero Copulas in Hungarian Using an NMT Model (2020.lrec-1)
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| Challenge: | Zero copulas are the phenomenon that nominal predicates lack an explicit verbal copule in default present tense 3rd person indicative cases. |
| Approach: | They propose a tool that can identify and mark the location of zero copulas in Hungarian clauses that contain nominal predicates at the right position. |
| Outcome: | The proposed tool can identify and mark the location of zero copulas, i.e. where an overt copulan would appear in the non-default cases. |
HuLU: Hungarian Language Understanding Benchmark Kit (2024.lrec-main)
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Noémi Ligeti-Nagy, Gergő Ferenczi, Enikő Héja, László János Laki, Noémi Vadász, Zijian Győző Yang, Tamás Váradi
| Challenge: | The Hungarian Language Understanding (HuLU) benchmark is a comprehensive assessment framework designed to evaluate the performance of neural language models on Hungary language tasks. |
| Approach: | They propose to use a framework to evaluate the performance of neural language models on Hungarian language tasks. |
| Outcome: | The framework evaluates models against Hungarian language tasks using a web service and a leaderboard. |