279 citations · 685 across the 70 of their papers we have counts for
15 papers · 1 filter
COSTRA 1.0: A Dataset of Complex Sentence Transformations
Petra Barancikova, Ondrej Bojar
We present COSTRA 1.0, a dataset of complex sentence transformations. The dataset is intended for the study of sentence-level embeddings beyond simple word alternations or standard…
Outbound Translation User Interface Ptakopet: A Pilot Study
Vilém Zouhar, Ondřej Bojar
It is not uncommon for Internet users to have to produce a text in a foreign language they have very little knowledge of and are unable to verify the translation quality. We call t…
Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed
Thuong-Hai Pham, Dominik Macháček, Ondřej Bojar
The utility of linguistic annotation in neural machine translation seemed to had been established in past papers. The experiments were however limited to recurrent sequence-to-sequ…
Keyphrase Generation: A Multi-Aspect Survey
Erion Çano, Ondřej Bojar
Extractive keyphrase generation research has been around since the nineties, but the more advanced abstractive approach based on the encoder-decoder framework and sequence-to-seque…
In Search for Linear Relations in Sentence Embedding Spaces
Petra Barančíková, Ondřej Bojar
We present an introductory investigation into continuous-space vector representations of sentences. We acquire pairs of very similar sentences differing only by a small alterations…
Efficiency Metrics for Data-Driven Models: A Text Summarization Case Study
Erion Çano, Ondřej Bojar
Using data-driven models for solving text summarization or similar tasks has become very common in the last years. Yet most of the studies report basic accuracy scores only, and no…
SAO WMT19 Test Suite: Machine Translation of Audit Reports
Tereza Vojtěchová, Michal Novák, Miloš Klouček +1
This paper describes a machine translation test set of documents from the auditing domain and its use as one of the "test suites" in the WMT19 News Translation Task for translation…
Efficiently Reusing Old Models Across Languages via Transfer Learning
Tom Kocmi, Ondřej Bojar
Recent progress in neural machine translation is directed towards larger neural networks trained on an increasing amount of hardware resources. As a result, NMT models are costly t…
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19
Kateřina Rysová, Magdaléna Rysová, Tomáš Musil +2
As the quality of machine translation rises and neural machine translation (NMT) is moving from sentence to document level translations, it is becoming increasingly difficult to ev…
A Speech Test Set of Practice Business Presentations with Additional Relevant Texts
Dominik Macháček, Jonáš Kratochvíl, Tereza Vojtěchová +1
We present a test corpus of audio recordings and transcriptions of presentations of students' enterprises together with their slides and web-pages. The corpus is intended for evalu…
English-Czech Systems in WMT19: Document-Level Transformer
Martin Popel, Dominik Macháček, Michal Auersperger +2
We describe our NMT systems submitted to the WMT19 shared task in English-Czech news translation. Our systems are based on the Transformer model implemented in either Tensor2Tensor…
CUNI Systems for the Unsupervised News Translation Task in WMT 2019
Ivana Kvapilíková, Dominik Macháček, Ondřej Bojar
In this paper we describe the CUNI translation system used for the unsupervised news shared task of the ACL 2019 Fourth Conference on Machine Translation (WMT19). We follow the str…
Hindi Visual Genome: A Dataset for Multimodal English-to-Hindi Machine Translation
Shantipriya Parida, Ondřej Bojar, Satya Ranjan Dash
Visual Genome is a dataset connecting structured image information with English language. We present ``Hindi Visual Genome'', a multimodal dataset consisting of text and images sui…
Keyphrase Generation: A Text Summarization Struggle
Erion Çano, Ondřej Bojar
Authors' keyphrases assigned to scientific articles are essential for recognizing content and topic aspects. Most of the proposed supervised and unsupervised methods for keyphrase…
Sentiment Analysis of Czech Texts: An Algorithmic Survey
Erion Çano, Ondřej Bojar
In the area of online communication, commerce and transactions, analyzing sentiment polarity of texts written in various natural languages has become crucial. While there have been…