TY - CHAP U1 - Konferenzveröffentlichung A1 - Ortiz Suárez, Pedro Javier A1 - Sagot, Benoît A1 - Romary, Laurent ED - Bański, Piotr ED - Barbaresi, Adrien ED - Biber, Hanno ED - Breiteneder, Evelyn ED - Clematide, Simon ED - Kupietz, Marc ED - Lüngen, Harald ED - Iliadi, Caroline T1 - Asynchronous pipelines for processing huge corpora on medium to low resource infrastructures T2 - Proceedings of the Workshop on Challenges in the Management of Large Corpora (CMLC-7) 2019. Cardiff, 22nd July 2019 N2 - Common Crawl is a considerably large, heterogeneous multilingual corpus comprised of crawled documents from the internet, surpassing 20TB of data and distributed as a set of more than 50 thousand plain text files where each contains many documents written in a wide variety of languages. Even though each document has a metadata block associated to it, this data lacks any information about the language in which each document is written, making it extremely difficult to use Common Crawl for monolingual applications. We propose a general, highly parallel, multithreaded pipeline to clean and classify Common Crawl by language; we specifically design it so that it runs efficiently on medium to low resource infrastructures where I/O speeds are the main constraint. We develop the pipeline so that it can be easily reapplied to any kind of heterogeneous corpus and so that it can be parameterised to a wide range of infrastructures. We also distribute a 6.3TB version of Common Crawl, filtered, classified by language, shuffled at line level in order to avoid copyright issues, and ready to be used for NLP applications. KW - corpus linguistics KW - corpus infrastructures KW - corpus processing KW - corpus management KW - Korpus Y1 - 2019 UN - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-90215 U6 - https://doi.org/10.14618/ids-pub-9021 DO - https://doi.org/10.14618/ids-pub-9021 SP - 9 EP - 16 PB - Leibniz-Institut für Deutsche Sprache CY - Mannheim ER -