8 citations · 19 across the 23 of their papers we have counts for
23 papers
ParCzech4Speech: A New Speech Corpus Derived from Czech Parliamentary Data
Vladislav Stankov, Matyáš Kopp, Ondřej Bojar
We introduce ParCzech4Speech 1.0, a processed version of the ParCzech 4.0 corpus, targeted at speech modeling tasks with the largest variant containing 2,695 hours. We combined the…
Preliminary Ranking of WMT25 General Machine Translation Systems
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +25
We present the preliminary rankings of machine translation (MT) systems submitted to the WMT25 General Machine Translation Shared Task, as determined by automatic evaluation metric…
Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn't Help with MT Evaluation
Petra Barančíková, Ondřej Bojar
In this paper, we compare Czech-specific and multilingual sentence embedding models through intrinsic and extrinsic evaluation paradigms. For intrinsic evaluation, we employ Costra…
Prompting LLMs: Length Control for Isometric Machine Translation
Dávid Javorský, Ondřej Bojar, François Yvon
In this study, we explore the effectiveness of isometric machine translation across multiple language pairs (EnDe, EnFr, and EnEs) under the conditions of the IWSLT…
MockConf: A Student Interpretation Dataset: Analysis, Word- and Span-level Alignment and Baselines
Dávid Javorský, Ondřej Bojar, François Yvon
In simultaneous interpreting, an interpreter renders a source speech into another language with a very short lag, much sooner than sentences are finished. In order to understand an…
How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?
Sara Papi, Peter Polak, Ondřej Bojar +1
Simultaneous speech-to-text translation (SimulST) translates source-language speech into target-language text concurrently with the speaker's speech, ensuring low latency for bette…