arXiv cs.CL· Hasan Alkhder, Maher Pasa, Maria Hanini, Amro Najjar, Ahmet Zengin·· 12 小时前AI 评分20
Alkhder 团队用 QLoRA 微调 NileChat-3B 实现英语到达里贾阿拉伯语方言对话翻译
alkhder at AlexandriaX-2026: Context-Aware English-to-Dialectal Arabic Dialogue Translation with QLoRA-Fine-Tuned NileChat-3B
AI 导读
Alkhder 团队在 AlexandriaX-2026 子任务 1 中，用 QLoRA 微调 NileChat-3B-Base，以单套适配器权重覆盖 13 种阿拉伯语方言，翻译时结合目标国家与方言、领域、参与者角色、说话人与受话人性别方向及前文对话上下文。
正文 · 原文
Abstract:This paper describes team Alkhder's submission to Subtask 1 of the AlexandriaX-2026 shared task, which asks systems to translate English dialogue turns into thirteen Arabic dialects. We fine-tune NileChat-3B-Base with QLoRA on the Alexandria parallel dialogue corpus, training one set of adapter weights for all dialects. Each turn is translated conditioned on the target country and dialect, the domain, the participant roles, the speaker-addressee gender direction, and the preceding dialogue context. At inference, conversations are translated autoregressively and the model is fed its own previous outputs back as context without using any gold target-side test information. Under the constrained track, using only Alexandria data, it trains in about one hour and translates the private test set in under two hours. The system reaches a country-macro-averaged spBLEU of 20.36 and chrF++ of 36.64 on both tracks.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.22525 [cs.CL] |
| (or arXiv:2610.22525v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.22525 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Hasan Alkhder [view email]
[v1]
Thu, 15 Oct 2026 18:18:39 UTC (33 KB)
来源：arXiv cs.CL · arxiv.org