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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Proceedings of the LREC 2020: 8th Workshop on Challenges in the Management of Large Corpora (CMLC-8) In: Proceedings of the LREC 2020: 8th Workshop on Challenges in the Management of Large Corpora (CMLC-8). Edited by: Bański, Piotr; Barbaresi, Adrien; Clematide, Simon; Kupietz, Marc; Lüngen, Harald; Pisetta, Ines (2020). Marseille, France: European Language Ressources Association. (2020) BASE Show details 2 Modelling Large Parallel Corpora: The Zurich Parallel Corpus Collection Graën, Johannes; Kew, Tannon; Shaitarova, Anastassia; Volk, Martin In: Graën, Johannes; Kew, Tannon; Shaitarova, Anastassia; Volk, Martin (2019). Modelling Large Parallel Corpora: The Zurich Parallel Corpus Collection. In: Challenges in the Management of Large Corpora (CMLC-7), Cardiff, Wales, 22 July 2019 - 22 July 2019. (2019) Abstract: Text corpora come in many different shapes and sizes and carry heterogeneous annotations, depending on their purpose and design. The true benefit of corpora is rooted in their annotation and the method by which this data is encoded is an important factor in their interoperability. We have accumulated a large collection of multilingual and parallel corpora and encoded it in a unified format which is compatible with a broad range of NLP tools and corpus linguistic applications. In this paper, we present our corpus collection and describe a data model and the extensions to the popular CoNLL-U format that enable us to encode it. Keyword: 000 Computer science; 410 Linguistics; Institute of Computational Linguistics; knowledge & systems URL: https://doi.org/10.14618/ids-pub-9020 https://www.zora.uzh.ch/id/eprint/175081/ https://doi.org/10.5167/uzh-175081 https://www.zora.uzh.ch/id/eprint/175081/1/Graen_Kew_Shaitarova_Volk_2019.pdf BASE Hide details 3 Efficient Exploration of Translation Variants in Large Multiparallel Corpora Using a Relational Database Graën, Johannes; Clematide, Simon; Volk, Martin In: Graën, Johannes; Clematide, Simon; Volk, Martin (2016). Efficient Exploration of Translation Variants in Large Multiparallel Corpora Using a Relational Database. In: 4th Workshop on the Challenges in the Management of Large Corpora, Portorož, 28 May 2016 - 28 May 2016, 20-23. (2016) BASE Show details 4 Challenges in the alignment, management and exploitation of large and richly annotated multi-parallel corpora Graën, Johannes; Clematide, Simon In: Graën, Johannes; Clematide, Simon (2015). Challenges in the alignment, management and exploitation of large and richly annotated multi-parallel corpora. In: 3rd Workshop on the Challenges in the Management of Large Corpora, Lancaster, 20 July 2015 - 20 July 2015, 15-20. (2015) BASE Show details

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