Swiss-AL : a multilingual Swiss web corpus for applied linguistics

Krasselt, Julia; Dressen, Philipp; Fluor, Matthias; Mahlow, Cerstin; Rothenhäusler, Klaus; Runte, Maren

doi:10.21256/zhaw-20044

2020

DOI: 10.21256/zhaw-20044

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Swiss-AL : a multilingual Swiss web corpus for applied linguistics

Julia Krasselt

Philipp Dressen²,

Matthias Fluor³

et al.

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Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Barbaresi¹

2021

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Confer

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An essential operation in web corpus construction consists in retaining the desired content while discarding the rest. Another challenge finding one's way through websites. This article introduces a text discovery and extraction tool published under open-source license. Its installation and use is straightforward, notably from Python and on the command-line. The software allows for main text, comments and metadata extraction, while also providing building blocks for web crawling tasks. A comparative evaluation on real-world data also shows its interest as well as the performance of other available solutions.The contributions of this paper are threefold: it references the software, features a benchmark, and provides a meaningful baseline for similar tasks. The tool performs significantly better than other open-source solutions in this evaluation and in external benchmarks.

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Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Barbaresi¹

2021

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Confer

View full text Add to dashboard Cite

show abstract

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Swiss-AL : a multilingual Swiss web corpus for applied linguistics

Cited by 1 publication

References 17 publications

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

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