arXiv:2606.26015v1 Announce Type: new Abstract: Text detoxification, the automated detection and mitigation of abusive and harmful content, is essential for ensuring the safety of online communities and protecting users. However, low resource languages such as Tatar have received little research attention. In this paper we present Tatoxa, a novel state-of-the-art system for text detoxification in the Tatar language. Comparative experiments show that the proposed approach outperforms existing open source and proprietary commercial LLMs on key quality metrics. We also introduce a new dataset for
The proliferation of AI-generated content necessitates robust moderation, and the increasing focus on linguistic diversity in AI development reveals gaps in low-resource language support.
The development of effective text detoxification systems for low-resource languages is crucial for digital sovereignty and ensuring equitable safety for online communities globally, extending beyond dominant language groups.
The demonstrated ability to surpass commercial and open-source LLMs in specific low-resource language tasks indicates a potential for specialized, regionally-focused AI development that challenges the 'one-size-fits-all' large model approach.
- · Tatar-speaking online communities
- · Developers of specialized LMs for low-resource languages
- · Governments promoting digital resilience in diverse linguistic communities
- · Organizations tackling online abuse
- · Generic large language models in specific niche applications
- · Harmful content propagators in low-resource language spaces
Improved online safety and reduced digital harm for Tatar speakers and potentially other low-resource language communities.
Increased investment and research into regional AI models and data infrastructure, potentially fostering more localized AI ecosystems.
Enhanced digital identity and cultural preservation for linguistic minorities as their languages become supported by advanced AI tools, potentially decreasing reliance on global tech giants.
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