Papers by Cvetana Krstev
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. |
Using English Baits to Catch Serbian Multi-Word Terminology (L18-1)
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| Challenge: | a new method for bilingual terminology extraction is proposed for a source language and a target language. |
| Approach: | They propose to use a bilingual terminology extraction approach for a source language and a target language to extract the terminology for sri lanka. |
| Outcome: | The proposed method extracts terminology for a source language and a target language from it. |
Distant Reading in Digital Humanities: Case Study on the Serbian Part of the ELTeC Collection (2022.lrec-1)
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Ranka Stanković, Cvetana Krstev, Branislava Šandrih Todorović, Dusko Vitas, Mihailo Skoric, Milica Ikonić Nešić
| Challenge: | Distant reading is a new scale of description that does not displace previous scales of literary description. |
| Approach: | They present the Serbian part of the ELTeC multilingual corpus . they propose to test various methods and tools for distant reading . |
| Outcome: | The Serbian part of the ELTeC multilingual corpus is being built to test various methods and tools . Several use examples show that this sub-collection is usefull for both close and distant reading approaches. |
Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian (2020.lrec-1)
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| Challenge: | The training of new tagger models for Serbian is motivated by the enhancement of the existing tagset with the grammatical category of a gender. |
| Approach: | They propose to use TreeTagger and spaCy taggers to train new Serbian tagger models and to align Serbian morphological dictionaries with the grammatical category of a gender. |
| Outcome: | The proposed models achieve 98% PoS-tagging precision per token, and the annotated dataset will be published. |