A5069632693- Natural Language Processing Techniques
- Text Readability and Simplification
- Topic Modeling
- Language, Metaphor, and Cognition
- Linguistic research and analysis
- Education, Psychology, and Social Research
- Second Language Acquisition and Learning
- Linguistics, Language Diversity, and Identity
- Subtitles and Audiovisual Media
- Translation Studies and Practices
- Economic and Fiscal Studies
- Single-cell and spatial transcriptomics
- Lexicography and Language Studies
- Taxation and Legal Issues
- linguistics and terminology studies
- Advanced Control Systems Optimization
- Linguistic Education and Pedagogy
- Speech and dialogue systems
- Cell Image Analysis Techniques
Charles University
2022-2024
ETH Zurich
2024
Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, Marcely Zanon Boito, Ondřej Bojar, Roldano Cattoni, Anna Currey, Georgiana Dinu, Kevin Duh, Maha Elbayad, Clara Emmanuel, Yannick Estève, Marcello Federico, Christian Federmann, Souhir Gahbiche, Hongyu Gong, Roman Grundkiewicz, Barry Haddow, Benjamin Hsu, Dávid Javorský, Vĕra Kloudová, Surafel Lakew, Xutai Ma, Prashant Mathur, Paul McNamee, Kenton Murray, Maria Nǎdejde, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, John...
Abstract The overall translation quality reached by current machine (MT) systems for high-resourced language pairs is remarkably good. Standard methods of evaluation are not suitable nor intended to uncover the many errors and deficiencies that still persist. Furthermore, standard reference translations commonly questioned comparable levels have been MT alone in several pairs. Navigating further research these high-resource settings thus difficult. In this paper, we propose a methodology...
We present the Eyetracked Multi-Modal Translation (EMMT) corpus, a dataset containing monocular eye movement recordings, audio and 4-electrode electroencephalogram (EEG) data of 43 participants. The objective was to collect cognitive signals as responses participants engaged in number language intensive tasks involving different text-image stimuli settings when translating from English Czech. Each participant exposed 32 pairs asked (1) read sentence, (2) translate it into Czech, (3) consult...
The overall translation quality reached by current machine (MT) systems for high-resourced language pairs is remarkably good. Standard methods of evaluation are not suitable nor intended to uncover the many errors and deficiencies that still persist. Furthermore, standard reference translations commonly questioned comparable levels have been MT alone in several pairs. Navigating further research these high-resource settings thus difficult. In this article, we propose a methodology creating...
This study investigates the human translation process from English to Czech in a multi-modal scenario (images) using reaction times. We make distinction between ambiguous and unambiguous sentences where former, more information would be needed order proper (e.g. gender of subject). Simultaneously, we also provide visual aid help disambiguation, which is necessary for sentences. confirm that take longer translate provision disambiguating slows process. When provided with an unrelated aid,...
Translator training has been increasingly relying on simulations of real-life professional practice. One way bringing learning closer to authentic experience is by introducing project-based instruction. The aim this paper present a project conducted in an optional literary translation seminar at the Institute Translation Studies (Charles University, Faculty Arts) summer semester 2018/2019 academic year. Providing students with opportunity engage assignment, was collaborative Bertha von...