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Modelling Large Parallel Corpora: The Zurich Parallel Corpus Collection
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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)
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Increasing Interoperability for Embedding Corpus Annotation Pipelines in Wmatrix and other corpus retrieval tools
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Challenges in the Management of Large Corpora (CMLC-6)
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In: Challenges in the Management of Large Corpora (CMLC-6). Edited by: Banski, Piotr; Kupietz, Marc; Barbaresi, Adrien; Biber, Hanno; Breiteneder, Evelyn; Clematide, Simon; Witt, Andreas (2018). Paris: European Language Resources Association (ELRA). (2018)
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Abstract:
Large corpora require careful design, licensing, collecting, cleaning, encoding, annotation, management, storage, retrieval, analysis, and curation to unfold their potential for a wide range of research questions and users, across a number of disciplines. Apart from the usual CMLC topics that fall into these areas, the 6th edition of the CMLC workshop features a special focus on corpus query and anal- ysis systems and specifically on goals concerning their interoperability. In the past 5 years, a whole new generation of corpus query engines that overcome limitations on the number of tokens and annotation layers has started to emerge at several research centers. While there seems to be a consensus that there can be no single corpus tool that fulfills the need of all communities and that a degree of heterogeneity is required, the time seems ripe to discuss whether (further, unre- stricted) divergence should be avoided in order to allow for some interoperability and reusability – and how this can be achieved. The two most prominent areas where interoperability seems highly desirable are query languages and software components for corpus analysis. The former issue is already partially addressed by the proposed ISO standard Corpus Query Lingua Franca (CQLF). Components for corpus analysis and further processing of results (e.g. for visualization), on the other hand, should in an ideal world be exchangeable and reusable across different platforms, not only to avoid redundancies, but also to foster replicability and a canonization of methodology in NLP and corpus linguistics. The 6th edition of the workshop is meant to address these issues, notably by including an expert panel discussion with representatives of tool development teams and power users.
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Keyword:
000 Computer science; 410 Linguistics; Institute of Computational Linguistics; knowledge & systems
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URL: https://www.zora.uzh.ch/id/eprint/162636/1/BanskiKupietz2018.pdf
https://doi.org/10.5167/uzh-162636
http://lrec-conf.org/workshops/lrec2018/W17/index.html
https://www.zora.uzh.ch/id/eprint/162636/
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