Уйгурский

Discriminating between similar languages (DSL) on conversational texts is a challenging task. This paper aims at discriminating between limited-resource languages on short conversational texts, like Uyghur and Kazakh. Considering that …...

AbstractCross-lingual word embeddings transfer knowledge between languages: models trained on high-resource languages can predict in low-resource languages. We introduce CLIME, an interactive system to quickly refine cross-lingual word embeddings for …...

AbstractWe compare two orthogonal semi-supervised learning techniques, namely tri-training and pretrained word embeddings, in the task of dependency parsing. We explore language-specific FastText and ELMo embeddings and multilingual BERT embeddings. …...

AbstractNeural machine translation has been shown to outperform all other machine translation paradigms when trained in a high-resource setting. However, it still performs poorly when dealing with low-resource languages, for …...