Statistical Machine Translation (statmt.org) is a research-focused organization based in Greece, operating within the Business Services industry since its founding in 2026. The company primarily publishes research articles that contribute to the field of machine translation, with a notable emphasis on evaluating and improving translation methodologies. Their recent documents include proceedings from the Conference on Machine Translation (WMT), where they explore various approaches to acquiring high-quality translation data, including human-only, machine-only, and hybrid methods. The findings highlight the economic advantages of human-machine collaboration in translation processes, showcasing datasets that facilitate further research. Additionally, their publications discuss advancements in translation models, such as the comparison between conventional Transformer models and newer architectures like MEGA, particularly in the context of literary translation. The focus on discourse-level translation challenges indicates a commitment to enhancing the quality and efficiency of translation systems. Overall, the company’s work reflects a dedication to advancing machine translation through rigorous research and collaborative methodologies.