Papers by Dan Tufiș
Collection and Annotation of the Romanian Legal Corpus (2020.lrec-1)
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| Challenge: | Currently, the corpus contains more than 140k documents representing the legislative body of Romania. |
| Approach: | They present a Romanian legislative corpus which is a valuable linguistic asset for machine translation systems. |
| Outcome: | The Romanian legislative corpus contains more than 140k documents representing the legislative body of Romania. |
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe (2020.lrec-1)
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Georg Rehm, Katrin Marheinecke, Stefanie Hegele, Stelios Piperidis, Kalina Bontcheva, Jan Hajič, Khalid Choukri, Andrejs Vasiļjevs, Gerhard Backfried, Christoph Prinz, José Manuel Gómez-Pérez, Luc Meertens, Paul Lukowicz, Josef van Genabith, Andrea Lösch, Philipp Slusallek, Morten Irgens, Patrick Gatellier, Joachim Köhler, Laure Le Bars, Dimitra Anastasiou, Albina Auksoriūtė, Núria Bel, António Branco, Gerhard Budin, Walter Daelemans, Koenraad De Smedt, Radovan Garabík, Maria Gavriilidou, Dagmar Gromann, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Jan Odijk, Maciej Ogrodniczuk, Eiríkur Rögnvaldsson, Mike Rosner, Bolette Pedersen, Inguna Skadiņa, Marko Tadić, Dan Tufiș, Tamás Váradi, Kadri Vider, Andy Way, François Yvon
| Challenge: | Language Technologies (LTs) are a powerful means to break down language barriers impacting business, cross-lingual and cross-cultural communication in Europe. |
| Approach: | They present an overview of the European LT landscape and the current state of play in industry and the LT market. |
| Outcome: | The present study outlines funding programmes, activities, actions and challenges in the different countries with regard to LT, including the current state of play in industry and the LT market. |
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources (2022.lrec-1)
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Tamás Váradi, Bence Nyéki, Svetla Koeva, Marko Tadić, Vanja Štefanec, Maciej Ogrodniczuk, Bartłomiej Nitoń, Piotr Pęzik, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Dan Tufiș, Radovan Garabík, Simon Krek, Andraž Repar
| Challenge: | The CURLICAT CEF Telecom project aims to collect and deeply annotate a set of large corpora from selected domains. |
| Approach: | They present the results of the CURLICAT CEF Telecom project . they propose to collect and deeply annotate a set of large corpora from selected domains . |
| Outcome: | The CURLICAT CEF Telecom project provides a set of large corpora from selected domains . the corporatized corporates are tokenized, lemmatized and morphologically analysed . |
The Reference Corpus of the Contemporary Romanian Language (CoRoLa) (L18-1)
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| Challenge: | a four-year project focused on the creation of a big corpus for contemporary Romanian language is underway . the corpus is the largest publicly available corpus of contemporary Romania . |
| Approach: | a four-year project is focusing on the creation of a big corpus for Romanian language . the corpus is the largest publicly available corpus of the language based in the country . authors propose to use the corpora as a tool to query and listen to the results . |
| Outcome: | a four-year project has created the largest publicly available corpus of Romanian language . the corpus is the result of a project focused on the creation of 'corola.racai.ro' the written component contains 1,257,752,812 tokens, distributed in several languages . |
A Bird’s-eye View of Language Processing Projects at the Romanian Academy (L18-1)
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| Challenge: | a recent article outlines five projects that address contemporary Romanian language . the authors argue that a constant accumulation of human expertise is needed to develop complex projects. |
| Approach: | a new article gives a general overview of five AI language-related projects at the Romanian Academy . they focus on the creation of a contemporary Romanian language text and speech corpus and language related applications . |
| Outcome: | a new article gives an overview of five AI language-related projects at the Romanian Academy . the projects address contemporary Romanian language, as well as language related applications . |
The MARCELL Legislative Corpus (2020.lrec-1)
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Tamás Váradi, Svetla Koeva, Martin Yamalov, Marko Tadić, Bálint Sass, Bartłomiej Nitoń, Maciej Ogrodniczuk, Piotr Pęzik, Verginica Barbu Mititelu, Radu Ion, Elena Irimia, Maria Mitrofan, Vasile Păiș, Dan Tufiș, Radovan Garabík, Simon Krek, Andraz Repar, Matjaž Rihtar, Janez Brank
| Challenge: | MARCELL corpus provides a rich and valuable source for further studies and developments in machine learning, cross-lingual terminological data extraction and classification. |
| Approach: | They present the results of the project MARCELL CEF Telecom . they aim to collect and deeply annotate a large comparable corpus of legal documents . |
| Outcome: | The MARCELL corpus includes 7 monolingual sub-corpora containing the body of respective national legislative documents. |