124 citations · 446 across the 25 of their papers we have counts for
5 papers · 1 filter
CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20
Ivana Kvapilíková, Tom Kocmi, Ondřej Bojar
This paper presents a description of CUNI systems submitted to the WMT20 task on unsupervised and very low-resource supervised machine translation between German and Upper Sorbian.…
Gender Coreference and Bias Evaluation at WMT 2020
Tom Kocmi, Tomasz Limisiewicz, Gabriel Stanovsky
Gender bias in machine translation can manifest when choosing gender inflections based on spurious gender correlations. For example, always translating doctors as men and nurses as…
Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords
Tom Kocmi, Martin Popel, Ondrej Bojar
We present a new release of the Czech-English parallel corpus CzEng 2.0 consisting of over 2 billion words (2 "gigawords") in each language. The corpus contains document-level info…
THEaiTRE: Artificial Intelligence to Write a Theatre Play
Rudolf Rosa, Ondřej Dušek, Tom Kocmi +10
We present THEaiTRE, a starting project aimed at automatic generation of theatre play scripts. This paper reviews related work and drafts an approach we intend to follow. We plan t…
Exploring Benefits of Transfer Learning in Neural Machine Translation
Tom Kocmi
Neural machine translation is known to require large numbers of parallel training sentences, which generally prevent it from excelling on low-resource language pairs. This thesis e…