Papers with multilingual approaches
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text (D18-1)
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| Challenge: | a feed-forward network can label codemixed and monolingual text in 100 languages and 100 language pairs. |
| Approach: | They propose a feed-forward network that can provide a language code for every token in a sentence . they show that the model can label both codemixed and monolingual text in 100 languages . |
| Outcome: | The proposed model outperforms previous multilingual approaches in terms of accuracy and speed. |
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis (2020.aacl-main)
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| Challenge: | Hate speech and toxic comments are a common concern of social media platform users . identifying toxic comments is important for studying and preventing the proliferation of toxicity in social media. |
| Approach: | They propose to use Brazilian Portuguese to analyze toxic or non-toxic tweets . they propose to analyze tweets as toxic or in different types of toxicity . |
| Outcome: | The proposed model achieves 76% macro-F1 score using monolingual data in the binary case. |
A Survey of Toxicity Mitigation Strategies for Multilingual Language Models (2026.findings-acl)
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| Challenge: | Large language models can reproduce and amplify toxic content, including hate speech, harassment, and bias. |
| Approach: | They propose a comprehensive survey of the many detoxification methods tailored to multilingual LLMs. |
| Outcome: | The proposed methods are based on data filtering, style transfer, expert-based logit steering, retrieval augmentation, and human feedback. |