Dr. Zijian Győző YANG

Personal
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Mobile | +36-20-535-7968 |
About |
research fellow, senior lecturer download CV |
EXPERIENCE
2020– | Research fellow at Hungarian Research Institute for Linguistics. |
2019– | Research fellow at Pázmány Péter Catholic University, Faculty of Information Technology and Bionics (artificial intelligence project). |
2020– | Insulin resistance project: Identification of individuals with insulin resistance using natural language processing. In collaboration with University of Debrecen and Sightspot Network Ltd. |
2019–2020 | Intelligent recommendation system project at HVG (business magazine): Automatic tag recommendation. |
2019– |
Program Committee on:
Hungarian Computational Linguistics Conferences, Szeged, Hungary International Conference on Applied Informatics, Eger, Hungary |
2017– |
Chinese relationships between universities. Senior lecturer at Eszterházy Károly University, Faculty of Informatics. Research fellow at MTA-PPKE Hungarian Language Technology Research Group. |
2017–2018 | Software development (full-stack, javascript) at CX-RAY. |
2016–2017 |
Conference organizing: CICLing 2017, Budapest – member of the organizational committee (PPKE ITK). |
2015–2018 | Co-founder and CEO of FLIONET Ltd. and RULITY Ltd. |
2013–2014 | Backend manager and developer of HE7ES education system (JAVA EE). |
2014– |
Team leader of Hungarian Team in International Linguistics Olympiad. Organizer of Hungarian Linguistics Olympiad. |
2011 | Handwritten Chinese character recognition software development at MorphoLogic Ltd. |
2010–2014 | Teaching Chinese at a basic level. |
AWARDS
Best Poster Award |
πRate: A Task-oriented Monolingual Quality Estimation System 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017) 2017, Budapest, Hungary |
Postdoctoral Excellence Scholarship | KAP16-73002-3.1-ITK, 2017 |
Student Excellence Scholarship | KAP16-73007-3.3-ITK, 2016 |
Best Student Paper Award |
Quality Estimation for English-Hungarian Machine Translation 7th Language & Technology Conference, Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC’15) 2015, Poznań, Poland |
Best Presentation Award |
Gépi fordítás minőségének becslése referencia nélküli módszerrel XI. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2015) 2015, Szeged, Hungary |
TDK | 3rd place, 2010 |
EDUCATION
2014–2019 |
Human Language Technology PhD (summa cum laude) Dissertation: eπQue: The Machine Translation Quality Estimation Software Package Supervisor: Gábor PRÓSZÉKY, DSc Pázmány Péter Catholic University, Budapest Faculty of Information Technology an Bionics |
2012 |
Artificial Intelligence – Erasmus program University of Leuven – KU Leuven, Leuven Faculty of Science |
2011–2013 |
Computer Science – MSc Pázmány Péter Catholic University, Budapest Faculty of Information Technology an Bionics |
2011–2013 |
Computer Engineer specialized in Electronic Business – Postgraduate Specialist Training Pázmány Péter Catholic University, Budapest Faculty of Information Technology an Bionics |
2006–2011 |
Computer Science – BSc Pázmány Péter Catholic University, Budapest Faculty of Information Technology an Bionics |
2000–2006 | Benedictine Boarding School of Pannonhalma |
TEACHING EXPERIENCE
2017– |
Eszterházy Károly University: Artificial intelligence, Data structures and algorithms, Development and analysis of algorithms, Interactive informatical systems, Web Programing IV. (javascript), History of Informatics, Spreadsheet systems, Introduction to Informatics, Information and Communication Technologies (ICT) |
2014– |
Pázmány Péter Catholic University: Basics of language technology, Tools of language technology, Basics of software technology, Introduction to Information Technology |
2010–2013 | Chinese at a basic level. |
PERSONAL SKILLS
Programming languages |
Expert: JAVA EE, JAVA, PHP, HTML, CSS, C# Some experience: Python, XML, SQL, BASH |
Language |
Hungarian: speaking, reading, writing: fluent Chinese: speaking: fluent English: speaking, reading, writing: conversational Latin: reading: basic |
Sports |
Basketball, high jump, long-jump: professional Soccer: hobby |
Musical experience |
6 years piano experience 8 years choir experience |
Acting |
Heavenly shift The Ambassador to Bern Snowhill |
Volunteer | Helping mentally disabled people since 2004. |
Publications
Classification of SAT Problem Instances by Machine Learning Methods. 11th International Conference on Applied Informatics (ICAI 2020). :94-104.
(976.47 KB) .
2020.

Automatic Tag Recommendation for News Articles. 11th International Conference on Applied Informatics (ICAI 2020). :442-451.
(1.35 MB) .
2020.

Automatic Diacritic Restoration With Transformer Model Based Neural Machine Translation for East-Central European Languages. 11th International Conference on Applied Informatics (ICAI 2020). :190-202.
(1.09 MB) .
2020.

Much Ado About Nothing – Identification of Zero Copulas in Hungarian Using an NMT Model. Proceedings of the 12th Language Resources and Evaluation Conference. :4802-4810.
(207.52 KB) .
2020.

Nesze semmi, fogd meg jól!: Zéró kopulák automatikus felismerése neurális gépi fordítással. XVI. Magyar Számítógépes Nyelvészeti Konferencia. :385-398.
(280.79 KB) .
2020.

Automatikus ékezetvisszaállítás transzformer modellen alapuló neurális gépi fordítással. XVI. Magyar SzámítógépesNyelvészeti Konferencia. :181-190.
(292.27 KB) .
2020.

Automatikus összefoglaló generálás magyarnyelvre BERT modellel. XVI. Magyar Számítógépes Nyelvészeti Konferencia. :343-354.
(344.42 KB) .
2020.

Automatikus tematikuscímke-ajánló rendszer sajtószövegekhez. XVI. Magyar Számítógépes Nyelvészeti Konferencia. :155-168.
(1.48 MB) .
2020.

eπQue: Gépi fordítás minőségét becslő programcsomag.
(1.86 MB) .
2019.

A gépi fordítás kiértékelése. Fókuszban a fordítás értékelése. .
2018.
A Gépi fordítás és a neurális gépi fordítás. Modern Nyelvoktatás. 24:129–139. .
2018.
Gépi fordító rendszerek kombinálása minőségbecslés segítségével. XIV. Magyar Számítógépes Nyelvészeti Konferencia. .
2018.
Így írtok ti - Nem sztenderd szövegek hibatípusainak detektálása gépi tanulásos módszerrel. XIV. Magyar Számítógépes Nyelvészeti Konferencia. .
2018.
A Quality Estimation System for Hungarian. Human Language Technology. Challenges for Computer Science and Linguistic. .
2018.
What's your style? Automatic genre identification with neural network International Journal of Computational Linguistics and Applications. .
2018.
πRate: A Task-oriented Monolingual Quality Estimation System. International Journal of Computational Linguistics and Applications.
(238.91 KB) .
2017.

Combining Machine Translation Systems with Quality Estimation. 18th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing2017), Budapest, Hungary.
(199.64 KB) .
2017.

Minőségbecslő rendszer egynyelvű természetes nyelvi elemzőhöz. XIII. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2015). :37–46. .
2017.
HuQ: An English-Hungarian Corpus for Quality Estimation. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016).
(152.2 KB) .
2016.

Quality Estimation for English-Hungarian with Optimized Semantic Features and the HuQ corpus. Computational Linguistics and Intelligent Text Processing - 17th International Conference, CICLing 2016, Konya, Turkey, April 3-9, 2016. .
2016.
Gépi fordítás minőségbecslésének optimalizálása kétnyelvű szótár és WordNet segítségével. XII. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2016). :37–46. .
2016.
Quality Estimation for English-Hungarian Machine Translation. 7th Language & Technology Conference. :170–174. .
2015.
Gépi fordítás minőségének becslése referencia nélküli módszerrel. XI. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2015). :3–13. .
2015.