Machine translation (MT) technology has facilitated our daily tasks by providing accessible shortcuts for gathering, elaborating and communicating information. However, it can suffer from biases that harm users and society at large. As a relatively new field of inquiry, gender bias in MT still lacks internal cohesion, which advocates for a unified framework to ease future research. To this end, we: i) critically review current conceptualizations of bias in light of theoretical insights from related disciplines, ii) summarize previous analyses aimed at assessing gender bias in MT, iii) discuss the mitigating strategies proposed so far, and iv) point toward potential directions for future work.

翻译：机器翻译(MT)技术便利了我们的日常工作,为收集、编制和传递信息提供了方便的捷径,但是,它可能受到损害用户和整个社会的偏见的影响。作为一个相对较新的调查领域,MT中的性别偏见仍然缺乏内部凝聚力,这主张建立统一框架,方便今后的研究。为此目的,我们:(一) 参照相关学科的理论见解,严格审查目前对偏见的概念化;(二) 总结先前旨在评估MT中性别偏见的分析;(三) 讨论迄今提出的减轻偏见战略,以及(四) 指出未来工作的潜在方向。