Search Results - "Macháček, Dominik"

Presenting Simultaneous Translation in Limited Space by Macháček, Dominik, Bojar, Ondřej

“…ITAT WAFNL 2020 Some methods of automatic simultaneous translation of a long-form speech allow revisions of outputs, trading accuracy for low latency…”
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Turning Whisper into Real-Time Transcription System by Macháček, Dominik, Dabre, Raj, Bojar, Ondřej

“…Whisper is one of the recent state-of-the-art multilingual speech recognition and translation models, however, it is not designed for real time transcription…”
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MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation by Macháček, Dominik, Bojar, Ondřej, Dabre, Raj

“…There have been several meta-evaluation studies on the correlation between human ratings and offline machine translation (MT) evaluation metrics such as BLEU,…”
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Continuous Rating as Reliable Human Evaluation of Simultaneous Speech Translation by Javorský, Dávid, Macháček, Dominik, Bojar, Ondřej

“…Simultaneous speech translation (SST) can be evaluated on simulated online events where human evaluators watch subtitled videos and continuously express their…”
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The Reality of Multi-Lingual Machine Translation by Kocmi, Tom, Macháček, Dominik, Bojar, Ondřej

“…Our book "The Reality of Multi-Lingual Machine Translation" discusses the benefits and perils of using more than two languages in machine translation systems…”
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Robustness of Multi-Source MT to Transcription Errors by Macháček, Dominik, Polák, Peter, Bojar, Ondřej, Dabre, Raj

“…Automatic speech translation is sensitive to speech recognition errors, but in a multilingual scenario, the same content may be available in various languages…”
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Lost in Interpreting: Speech Translation from Source or Interpreter? by Macháček, Dominik, Žilinec, Matúš, Bojar, Ondřej

“…Interpreters facilitate multi-lingual meetings but the affordable set of languages is often smaller than what is needed. Automatic simultaneous speech…”
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Teaching LLMs at Charles University: Assignments and Activities by Helcl, Jindřich, Kasner, Zdeněk, Dušek, Ondřej, Limisiewicz, Tomasz, Macháček, Dominik, Musil, Tomáš, Libovický, Jindřich

“…This paper presents teaching materials, particularly assignments and ideas for classroom activities, from a new course on large language models (LLMs) taught…”
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Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed by Pham, Thuong-Hai, Macháček, Dominik, Bojar, Ondřej

“…Computac\'ion y Sistemas, Vol. 23, No. 3, 2019, pp. 923-934 The utility of linguistic annotation in neural machine translation seemed to had been established…”
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CUNI Systems for the Unsupervised News Translation Task in WMT 2019 by Kvapilíková, Ivana, Macháček, Dominik, Bojar, Ondřej

“…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…”
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Morphological and Language-Agnostic Word Segmentation for NMT by Macháček, Dominik, Vidra, Jonáš, Bojar, Ondřej

“…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…”
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A Speech Test Set of Practice Business Presentations with Additional Relevant Texts by Macháček, Dominik, Kratochvíl, Jonáš, Vojtěchová, Tereza, Bojar, Ondřej

“…We present a test corpus of audio recordings and transcriptions of presentations of students' enterprises together with their slides and web-pages. The corpus…”
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English-Czech Systems in WMT19: Document-Level Transformer by Popel, Martin, Macháček, Dominik, Auersperger, Michal, Bojar, Ondřej, Pecina, Pavel

“…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…”
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ELITR Non-Native Speech Translation at IWSLT 2020 by Macháček, Dominik, Kratochvíl, Jonáš, Sagar, Sangeet, Žilinec, Matúš, Bojar, Ondřej, Nguyen, Thai-Son, Schneider, Felix, Williams, Philip, Yao, Yuekun

“…This paper is an ELITR system submission for the non-native speech translation task at IWSLT 2020. We describe systems for offline ASR, real-time ASR, and our…”
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