| 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. |
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Ludmila Midrigan - Ciochina, Victoria Boyd, Lucila Sanchez-Ortega, Diana Malancea_Malac, Doina Midrigan, David P. Corina
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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
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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 . |
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Introducing RONEC - the Romanian Named Entity Corpus (2020.lrec-1)
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| Challenge: | Named Entity Corpus is a free, open-source resource that contains annotated named entities in copy-right free text. |
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BioRo: The Biomedical Corpus for the Romanian Language (L18-1)
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| Challenge: | Biomedical text mining uses linguistic resources available in English, but for other languages such as Romanian, the access to language resources is not straight-forward. |
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Identifying Draft Bills Impacting Existing Legislation: a Case Study on Romanian (2022.lrec-1)
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| Challenge: | Using manual annotations provided by legal experts, we identify future draft bills that have the potential to impact existing policies on public procurement. |
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RSC: A Romanian Read Speech Corpus for Automatic Speech Recognition (2020.lrec-1)
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| Challenge: | Romanian language is under-resourced due to the lack of acoustic and linguistic resources. |
| Approach: | They propose to use a Romanian speech corpus to train automatic speech recognition algorithms based on the spoken hotword detection mechanism. |
| Outcome: | The read speech corpus is a speech recognition system that can perform automatic speech recognition and speech synthesis using state-of-the-art speech recognition toolkit. |
Natural Language Processing Pipeline to Annotate Bulgarian Legislative Documents (2020.lrec-1)
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| Challenge: | The Bulgarian MARCELL corpus consists of 25,283 documents, which are classified into eleven types. |
| Approach: | They present the Bulgarian MARCELL corpus, part of a newly developed multilingual corpus representing the national legislation in seven European countries. |
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An Empirical Evaluation of Annotation Practices in Corpora from Language Documentation (2020.lrec-1)
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| Challenge: | Language documentation projects have produced substantial amounts of primary data from a wide variety of endangered languages. |
| Approach: | They propose to use common annotation conventions in existing corpora to facilitate their future processing. |
| Outcome: | The proposed formats are based on the common ELAN and Toolbox formats and are used to facilitate their future processing. |
Aligning the Romanian Reference Treebank and the Valence Lexicon of Romanian Verbs (2022.lrec-1)
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| Challenge: | Among the language resources for Romanian, there are ones that describe the syntactic and semantic aspects of the language. |
| Approach: | They propose to align two language resources for Romanian: the Romanian Reference Treebank and the Valence Lexicon of Romanian Verbs. |
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