Кросс-лингвистикалық құжаттарды жіктеу

We present a novel technique for learn- ing semantic representations, which ex- tends the distributional hypothesis to mul- tilingual data and joint-space embeddings. Our models leverage parallel data and learn …...

AbstractWe present MultiVec, a new toolkit for computing continuous representations for text at different granularity levels (word-level or sequences of words). MultiVec includes word2vec’s features, paragraph vector (batch and online) …...

Cross-lingual document classification aims at training a document classifier on resources in one language and transferring it to a different language without any additional resources. Several approaches have been proposed …...

Cross-lingual word embeddings are the representations of words across languages in a shared continuous vector space. Cross-lingual word embeddings have been shown to be helpful in the development of cross-lingual …...

AbstractGenerative adversarial networks (GANs) have succeeded in inducing cross-lingual word embeddings - maps of matching words across languages - without supervision. Despite these successes, GANs’ performance for the difficult case …...