论文标题
评估Amharic Machine翻译
Evaluating Amharic Machine Translation
论文作者
论文摘要
机器翻译（MT）系统现在能够为高资源语言对提供非常准确的结果。但是，对于许多低资源语言，MT仍在积极研究中。在本文中，我们开发并共享一个数据集，以自动评估Amharic MT系统的质量。我们比较了两个商业上可用的MT系统，这些系统支持Amharic和英语的翻译，以评估Amharic MT的当前状态。 BLEU得分结果表明，Amharic翻译的结果很有希望，但仍然很低。我们希望该数据集对学术界和行业的研究社区都有用，以评估Amharic MT系统的基准。
Machine translation (MT) systems are now able to provide very accurate results for high resource language pairs. However, for many low resource languages, MT is still under active research. In this paper, we develop and share a dataset to automatically evaluate the quality of MT systems for Amharic. We compare two commercially available MT systems that support translation of Amharic to and from English to assess the current state of MT for Amharic. The BLEU score results show that the results for Amharic translation are promising but still low. We hope that this dataset will be useful to the research community both in academia and industry as a benchmark to evaluate Amharic MT systems.
