Papers with Glot500
Improving Parallel Sentence Mining for Low-Resource and Endangered Languages (2025.acl-short)
Copied to clipboard
| Challenge: | Parallel sentence mining is a technique used to find matching sentence pairs from a source and target language. |
| Approach: | They propose a benchmark dataset for parallel sentence mining on three low-resource languages . they apply alignment post-processing and cluster-based isotropy enhancement techniques to one of them . |
| Outcome: | The proposed datasets show better mining quality overall for low-resource languages . the proposed methods are crucial for optimizing parallel data extraction for low resource languages - a new study shows. |
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples (2025.findings-naacl)
Copied to clipboard
| Challenge: | XAMPLER: Cross-Lingual Example Retrieval is a cross-lingual example retrieval method . large language models (LLMs) have emerged as effective in-context learning methods . |
| Approach: | They propose a method to train a multilingual model with annotated English examples . they use annotized English data to train the model and use it to train other languages . |
| Outcome: | XAMPLER: Cross-Lingual Example Retrieval improves in-context learning in English . it trains a retriever based on a multilingual small language model using annotated English examples . |