Empowering a new generation of localization professionals – Google Blog
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Google Calls for Rethink of Single-Metric AI Translation Evaluation – slator.com
A new study by researchers from Google and Imperial College London challenges a core assumption in AI translation evaluation: that a single metric can capture both semantic accuracy and naturalness of translations. “Single-score summaries do not and cannot give the complete picture of a system’s true performance,” the researchers said. In the latest WMT general […]
AI Translation Improves for Indic Languages. Preserving Sentiment Still a Challenge – slator.com
In an April 2, 2025 paper researchers from the Transitional Artificial Intelligence Research Group at UNSW Sydney and the Centre for Artificial Intelligence and Innovation at Pingla Institute, Sydney, evaluated how large language models (LLMs) fare with complex, culturally and emotionally rich Indian texts. The study compared the performance of OpenAI’s GPT-3.5 and GPT-4o, Google’s […]
Android’s Instant Translation Gets Enhanced in ‘Circle to Search’ – slator.com
An article on the Android Authority site from March 2025 states that the instant translation function could soon be available as a permanent feature within “Circle to Search.” If enabled, users will be able to translate whatever they select on the screen using Circle to Search on the screen into a device’s supported languages (this […]
Google, Unbabel Expand Key AI Translation Benchmark to 55 Languages with WMT24++ – slator.com
Researchers from Google and Unbabel have unveiled WMT24++, a major expansion of the WMT24 machine translation (MT) benchmark, extending its language coverage from 9 to 55 languages and dialects. The dataset now includes human-written reference translations and post-edits for 46 additional languages, as well as new post-edits of the references for 8 of the original […]
Google Expands Low-Resource AI Translation with SMOL Dataset – slator.com
On February 17, 2025, Google released SMOL (Set of Maximal Overall Leverage), a dataset translated by professional translators aimed at improving machine translation (MT) for 115 low-resource languages (LRLs). SMOL consists of two components: SMOLSENT, a collection of 863 English sentences translated into 81 languages, and SMOLDOC, a dataset of 584 English documents translated into […]