TED корпусы

We propose a joint formulation for learn- ing task-specific cross-lingual word em- beddings, along with classifiers for that task. Unlike prior work, which first learns the embeddings from parallel data …...

AbstractWe present an approach based on multilingual sentence embeddings to automatically extract parallel sentences from the content of Wikipedia articles in 96 languages, including several dialects or low-resource languages. We …...