Currently, there is no usable machine translation system for Nko, a language spoken by tens of millions of people across multiple West African countries, which holds significant cultural and educational value. To address this issue, we present a set of tools, resources, and baseline results aimed towards the development of usable machine translation systems for Nko and other languages that do not currently have sufficiently large parallel text corpora available. (1) Friallel: A novel collaborative parallel text curation software that incorporates quality control through copyedit-based workflows. (2) Expansion of the FLoRes-200 and NLLB-Seed corpora with 2,009 and 6,193 high-quality Nko translations in parallel with 204 and 40 other languages. (3) nicolingua-0005: A collection of trilingual and bilingual corpora with 130,850 parallel segments and monolingual corpora containing over 3 million Nko words. (4) Baseline bilingual and multilingual neural machine translation results with the best model scoring 30.83 English-Nko chrF++ on FLoRes-devtest.

翻译：目前，尚无可用的恩科语机器翻译系统。恩科语是西非多国数千万人使用的语言，具有重要的文化与教育价值。为解决这一问题，我们提供了一套工具、资源及基线结果，旨在推动恩科语及其他缺乏大规模平行文本语料库的语言开发可用的机器翻译系统。（1）Friallel：一款新型协作式平行文本整理软件，通过基于编辑的工作流程实现质量控制。（2）扩展FLoRes-200与NLLB-Seed语料库，新增2,009条和6,193条高质量恩科语翻译，分别与204种和40种其他语言平行对齐。（3）nicolingua-0005：包含130,850对平行片段的三语及双语语料库，以及超过300万恩科语词的单语语料库。（4）基线双语及多语神经机器翻译结果，最佳模型在FLoRes-devtest上取得英语-恩科语chrF++值30.83。