Despite the prevalence of automatic speech recognition software, it’s obvious that these tools could use some improvement, especially when speaking with a non-standard accent or in a slightly noisy environment. According to the team of researchers behind the paper, this can be particularly difficult to get right in Mandarin Chinese.
Since the onset of the Russian invasion of Ukraine, Ukrainians’ attitudes on language policy appear to be shifting, according to a recent survey of...
Explore the importance of multilingualism and cultural diversity in businesses and society in this episode. We discuss their benefits for corporate culture, innovation, and...
Earlier this month, Meta announced the development of its large language model Open Pretrained Transformer (OPT-175B), which has been trained on 175 billion parameters...