""The problem isn't a lack of AI options; it is finding the one that truly understands your specific context," says Ofer Tirosh, CEO of Tomedes, the language services provider behind MachineTranslation.com. "That is the power of MachineTranslation.com's SMART option. You don't have to rely on a single opinion. SMART compares all AIs and automatically selects the translation that the majority agree on per sentence. It is about achieving accuracy through aggregation and consensus.""
""With the addition of Meta's Llama, Amazon's Nova, AI21's Jamba, Moonshot's Kimi, and Z.ai's GLM, users now benefit from a system that analyzes each sentence across 22 different engines, instantly surfacing the most consistent translation based on cross-model agreement. This marks a major enhancement to the platform's SMART feature, which doesn't just display multiple outputs but actively compares them to find the best-fit translation. It's like putting your content through a panel of experts, each with a different linguistic strength. The result? Internal evaluations show a reduction of 18-22% in obvious translation errors and stylistic drifts compared to single-model usage.""
MachineTranslation.com added five AI engines—Meta's Llama, Amazon's Nova, AI21's Jamba, Moonshot's Kimi, and Z.ai's GLM—bringing the platform to 22 models. The SMART option compares outputs across all engines and selects the majority-agreed translation at the sentence level. The system analyzes each sentence across the ensemble to surface the most consistent translation based on cross-model agreement. Internal evaluations report an 18–22% reduction in obvious translation errors and stylistic drift compared with single-model use. Each new model contributes distinct linguistic strengths, improving fluency, domain fit, and cultural nuance. The approach prioritizes accuracy through aggregation and consensus.
Read at Business Matters
Unable to calculate read time
Collection
[
|
...
]