Search Results for author: Dušan Variš

Found 9 papers, 1 papers with code

CUNI Basque-to-English Submission in IWSLT18

no code implementations IWSLT (EMNLP) 2018 Tom Kocmi, Dušan Variš, Ondřej Bojar

We present our submission to the IWSLT18 Low Resource task focused on the translation from Basque-to-English.

Transfer Learning Translation

CUNI systems for WMT21: Terminology translation Shared Task

no code implementations WMT (EMNLP) 2021 Josef Jon, Michal Novák, João Paulo Aires, Dušan Variš, Ondřej Bojar

Our approach is based on providing the desired translations alongside the input sentence and training the model to use these provided terms.

Sentence Translation

Sequence Length is a Domain: Length-based Overfitting in Transformer Models

1 code implementation EMNLP 2021 Dušan Variš, Ondřej Bojar

We demonstrate on a simple string editing task and a machine translation task that the Transformer model performance drops significantly when facing sequences of length diverging from the length distribution in the training data.

L2 Regularization Machine Translation +1

End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages

no code implementations ACL 2021 Josef Jon, João Paulo Aires, Dušan Variš, Ondřej Bojar

Lexically constrained machine translation allows the user to manipulate the output sentence by enforcing the presence or absence of certain words and phrases.

Machine Translation Sentence +1

Image Captioning with Visual Object Representations Grounded in the Textual Modality

no code implementations19 Oct 2020 Dušan Variš, Katsuhito Sudoh, Satoshi Nakamura

We present our work in progress exploring the possibilities of a shared embedding space between textual and visual modality.

Image Captioning Object +3

Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation

no code implementations19 Oct 2020 Dušan Variš, Ondřej Bojar

In our method, we initialize the weights of the encoder and decoder with two language models that are trained with monolingual data and then fine-tune the model on parallel data using Elastic Weight Consolidation (EWC) to avoid forgetting of the original language modeling tasks.

Language Modelling Machine Translation +2

CUNI System for the WMT18 Multimodal Translation Task

no code implementations12 Nov 2018 Jindřich Helcl, Jindřich Libovický, Dušan Variš

For our submission, we acquired both textual and multimodal additional data.

Translation

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