MudawanSn：面向机器翻译的沃洛夫语-阿拉伯语黄金标准平行语料库
MudawanSn: A Gold-Standard Wolof-Arabic Parallel Corpus for Machine Translation
- GalsenAI Lab（GalsenAI实验室）
- Ministère de l’Éducation Nationale du Sénégal（塞内加尔国民教育部）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出MudawanSn，一个1,271句对的沃洛夫语-阿拉伯语黄金标准平行语料库，用于机器翻译，微调后显著提升双向翻译性能，最佳模型AfriNLLB-12取得7.76/30.72和8.75/33.08的BLEU/chrF++。
AI中文摘要：
我们提出了MudawanSn，这是一个包含1,271个句子对齐对的黄金标准资源，这些句子对由人工从沃洛夫语翻译成现代标准阿拉伯语（MSA）。源文本取自MasakhaNER语料库，涵盖塞内加尔新闻话语中的政治、社会、宗教和体育主题。尽管FLORES-200和NTREX等多语言资源同时包含沃洛夫语和阿拉伯语，但目前尚无专门针对沃洛夫语-现代标准阿拉伯语语言对的公开平行语料库。我们描述了语料库构建协议、句子对齐流程和质量控制工作流。我们对涵盖三个架构家族的四种机器翻译系统进行了基准测试：NLLB-200（600M）、mT5-base以及两个AfriNLLB变体，结果表明在MudawanSn上进行微调在两个翻译方向上均带来了显著改进。性能最佳的模型AfriNLLB-12在沃洛夫语到阿拉伯语方向上取得了7.76 BLEU和30.72 chrF++的成绩，在阿拉伯语到沃洛夫语方向上取得了8.75 BLEU和33.08 chrF++的成绩。该语料库以CC BY-NC许可发布，并可在Hugging Face和GitHub上公开获取。
英文摘要：
We present MudawanSn, a gold-standard resource of 1,271 sentence-aligned pairs manually translated from Wolof into Modern Standard Arabic (MSA). The source texts are drawn from the MasakhaNER corpus and cover politics, society, religion, and sports in Senegalese news discourse. Although multilingual resources such as FLORES-200 and NTREX include both Wolof and Arabic, no publicly available parallel corpus is specifically designed for the Wolof-Modern Standard Arabic language pair. We describe the corpus construction protocol, sentence alignment procedure, and quality-control workflow. We benchmark four machine translation systems spanning three architectural families: NLLB-200 (600M), mT5-base, and two AfriNLLB variants, showing that fine-tuning on MudawanSn yields substantial improvements in both translation directions. The best-performing model, AfriNLLB-12, achieves 7.76 BLEU and 30.72 chrF++ for Wolof-to-Arabic, and 8.75 BLEU and 33.08 chrF++ for Arabic-to-Wolof. The corpus is released under the CC BY-NC license and is publicly available on Hugging Face and GitHub.
