LaBSE, a new language-agnostic embedding model, supports 109 languages with SOTA accuracy Posted on 1 month ago by admin Tweet Language-agnostic BERT Sentence Embedding (LaBSE), is a multilingual BERT embedding model that supports language-agnostic cross-lingual sentence embeddings for 109 languages by combining MLM and TLM. Read more… Neowin Related Posts:Google News now displays stories in two languages in…BLEURT is a metric for natural language generators…NVIDIA registers the world's quickest BERT training…Save 59% off Rocket Language Learning: Level 1 -…Alexa devices now offer Spanish language and… Post navigation Previous article Truecaller rolling out Spam Activity Indicator for Android usersNext article Microsoft now lets you customize the left sidebar in Teams
