Синтетические параллельные данные

We present two English-to-Czech systems that took part in the WMT 2013 shared task: TECTOMT and PHRASEFIX. The former is a deep-syntactic transfer-based system, the latter is a more-or-less stan- …...

AbstractTelugu is the fifteenth most commonly spoken language in the world with an estimated reach of 75 million people in the Indian subcontinent. At the same time, it is a …...

AbstractState-of-the-art methods for unsupervised bilingual word embeddings (BWE) train a mapping function that maps pre-trained monolingual word embeddings into a bilingual space. Despite its remarkable results, unsupervised mapping is also …...

AbstractSelf-training has proven effective for improving NMT performance by augmenting model training with synthetic parallel data. The common practice is to construct synthetic data based on a randomly sampled subset …...