279 citations · 685 across the 70 of their papers we have counts for
6 papers · 1 filter
Trivial Transfer Learning for Low-Resource Neural Machine Translation
Tom Kocmi, Ondřej Bojar
Transfer learning has been proven as an effective technique for neural machine translation under low-resource conditions. Existing methods require a common target language, languag…
SubGram: Extending Skip-gram Word Representation with Substrings
Tom Kocmi, Ondřej Bojar
Skip-gram (word2vec) is a recent method for creating vector representations of words ("distributed word representations") using a neural network. The representation gained populari…
Morphological and Language-Agnostic Word Segmentation for NMT
Dominik Macháček, Jonáš Vidra, Ondřej Bojar
The state of the art of handling rich morphology in neural machine translation (NMT) is to break word forms into subword units, so that the overall vocabulary size of these units f…
Are BLEU and Meaning Representation in Opposition?
Ondřej Cífka, Ondřej Bojar
One of possible ways of obtaining continuous-space sentence representations is by training neural machine translation (NMT) systems. The recent attention mechanism however removes…
Training Tips for the Transformer Model
Martin Popel, Ondřej Bojar
This article describes our experiments in neural machine translation using the recent Tensor2Tensor framework and the Transformer sequence-to-sequence model (Vaswani et al., 2017).…
Extracting Parallel Paragraphs from Common Crawl
Jakub Kúdela, Irena Holubová, Ondřej Bojar
Most of the current methods for mining parallel texts from the web assume that web pages of web sites share same structure across languages. We believe that there still exists a no…