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The Growing Gains and Pains of Iterative Web Corpora Crawling: Insights from South Slavic CLASSLA-web 2.0 Corpora

Taja Kuzman Pungeršek, Peter Rupnik, Vít Suchomel, Nikola Ljubešić · Jan 16, 2026 · Citations: 0

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Feb 27, 2026, 9:53 AM

Stale

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Feb 27, 2026, 9:53 AM

Stale

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Confidence unavailable

Abstract

Crawling national top-level domains has proven to be highly effective for collecting texts in less-resourced languages. This approach has been recently used for South Slavic languages and resulted in the largest general corpora for this language group: the CLASSLA-web 1.0 corpora. Building on this success, we established a continuous crawling infrastructure for iterative national top-level domain crawling across South Slavic and related webs. We present the first outcome of this crawling infrastructure - the CLASSLA-web 2.0 corpus collection, with substantially larger web corpora containing 17.0 billion words in 38.1 million texts in seven languages: Bosnian, Bulgarian, Croatian, Macedonian, Montenegrin, Serbian, and Slovenian. In addition to genre categories, the new version is also automatically annotated with topic labels. Comparing CLASSLA-web 2.0 with its predecessor reveals that only one-fifth of the texts overlap, showing that re-crawling after just two years yields largely new content. However, while the new web crawls bring growing gains, we also notice growing pains - a manual inspection of top domains reveals a visible degradation of web content, as machine-generated sites now contribute a significant portion of texts.

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Evidence snippet: Crawling national top-level domains has proven to be highly effective for collecting texts in less-resourced languages.

Evaluation Modes

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Evidence snippet: Crawling national top-level domains has proven to be highly effective for collecting texts in less-resourced languages.

Quality Controls

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Evidence snippet: Crawling national top-level domains has proven to be highly effective for collecting texts in less-resourced languages.

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Evidence snippet: Crawling national top-level domains has proven to be highly effective for collecting texts in less-resourced languages.

Reported Metrics

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No metric anchors detected.

Evidence snippet: Crawling national top-level domains has proven to be highly effective for collecting texts in less-resourced languages.

Rater Population

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Unknown

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Rater source not explicitly reported.

Evidence snippet: Crawling national top-level domains has proven to be highly effective for collecting texts in less-resourced languages.

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Research Brief

Deterministic synthesis

Crawling national top-level domains has proven to be highly effective for collecting texts in less-resourced languages.

Generated Feb 27, 2026, 9:53 AM · Grounded in abstract + metadata only

Key Takeaways

  • Crawling national top-level domains has proven to be highly effective for collecting texts in less-resourced languages.
  • This approach has been recently used for South Slavic languages and resulted in the largest general corpora for this language group: the CLASSLA-web 1.0 corpora.
  • Building on this success, we established a continuous crawling infrastructure for iterative national top-level domain crawling across South Slavic and related webs.

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