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Team ÚFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language Models ...
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Pushing the right buttons: adversarial evaluation of quality estimation
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In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
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THEaiTRobot 1.0
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Rosa, Rudolf; Dušek, Ondřej; Kocmi, Tom. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021. : The Švanda Theatre in Smíchov, 2021. : The Academy of Performing Arts in Prague, Theatre Faculty (DAMU), 2021
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Ptakopět data: the dataset for experiments on outbound translation
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Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining ...
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CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task ...
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Lost in Interpreting: Speech Translation from Source or Interpreter? ...
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Abstract:
Interpreters facilitate multi-lingual meetings but the affordable set of languages is often smaller than what is needed. Automatic simultaneous speech translation can extend the set of provided languages. We investigate if such an automatic system should rather follow the original speaker, or an interpreter to achieve better translation quality at the cost of increased delay. To answer the question, we release Europarl Simultaneous Interpreting Corpus (ESIC), 10 hours of recordings and transcripts of European Parliament speeches in English, with simultaneous interpreting into Czech and German. We evaluate quality and latency of speaker-based and interpreter-based spoken translation systems from English to Czech. We study the differences in implicit simplification and summarization of the human interpreter compared to a machine translation system trained to shorten the output to some extent. Finally, we perform human evaluation to measure information loss of each of these approaches. ... : to be published at INTERSPEECH 2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2106.09343 https://arxiv.org/abs/2106.09343
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Sequence Length is a Domain: Length-based Overfitting in Transformer Models ...
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Neural Machine Translation Quality and Post-Editing Performance ...
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End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages ...
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