# Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German

arXiv: https://arxiv.org/abs/1912.00159 · HTML: https://mlsanity.com/paper/1912.00159/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Nov 2019.

## Built on by (most cited first, 4 of 4)

- [Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise](https://mlsanity.com/paper/2109.06772/) (2021)
- [A Survey of Corpora for Germanic Low-Resource Languages and Dialects](https://mlsanity.com/paper/2304.09805/) (2023)
- [Zero-Shot Slot and Intent Detection in Low-Resource Languages](https://mlsanity.com/paper/2304.13292/) (2023)
- [Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect](https://mlsanity.com/paper/2401.14400/) (2024)

## Abstract (arXiv)

This paper presents SwissCrawl, the largest Swiss German text corpus to date. Composed of more than half a million sentences, it was generated using a customized web scraping tool that could be applied to other low-resource languages as well. The approach demonstrates how freely available web pages can be used to construct comprehensive text corpora, which are of fundamental importance for natural language processing. In an experimental evaluation, we show that using the new corpus leads to significant improvements for the task of language modeling. To capture new content, our approach will run continuously to keep increasing the corpus over time.