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EMMT (Eyetracked Multi-Modal Translation)
Bhattacharya, Sunit; Kloudová, Věra; Zouhar, Vilém. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022
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2
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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3
Findings of the IWSLT 2020 Evaluation campaign
Niehues, Jan; Federico, Marcello; Ma, Xutai. - : Association for Computational Linguistics, 2022
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4
Pushing the right buttons: adversarial evaluation of quality estimation
In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
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5
Malayalam Visual Genome 1.0
Parida, Shantipriya; Bojar, Ondřej. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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6
THEaiTRobot 1.0
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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7
CUBBITT Translation Models (en-cs) (v1.0)
Popel, Martin; Tomková, Markéta; Tomek, Jakub; Kaiser, Łukasz; Uszkoreit, Jakob; Bojar, Ondřej; Žabokrtský, Zdeněk. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
Abstract: CUBBITT En-Cs translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). Models are compatible with Tensor2tensor version 1.6.6. For details about the model training (data, model hyper-parameters), please contact the archive maintainer. Evaluation on newstest2014 (BLEU): en->cs: 27.6 cs->en: 34.4 (Evaluated using multeval: https://github.com/jhclark/multeval)
Keyword: cubbitt; machine translation; neural machine translation; transformer
URL: http://hdl.handle.net/11234/1-3733
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8
ParCzech 3.0
Kopp, Matyáš; Stankov, Vladislav; Bojar, Ondřej. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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9
CUBBITT Translation Models (en-pl) (v1.0)
Popel, Martin; Tomková, Markéta; Tomek, Jakub. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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10
Ptakopět data: the dataset for experiments on outbound translation
Novák, Michal; Zouhar, Vilém; Bojar, Ondřej. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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11
ESIC 1.0 -- Europarl Simultaneous Interpreting Corpus
Macháček, Dominik; Žilinec, Matúš; Bojar, Ondřej. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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12
CUBBITT Translation Models (en-fr) (v1.0)
Popel, Martin; Tomková, Markéta; Tomek, Jakub. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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13
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining ...
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14
CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task ...
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15
Lost in Interpreting: Speech Translation from Source or Interpreter? ...
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16
ELITR Multilingual Live Subtitling: Demo and Strategy ...
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17
Sequence Length is a Domain: Length-based Overfitting in Transformer Models ...
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18
Neural Machine Translation Quality and Post-Editing Performance ...
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19
End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages ...
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20
A Fine-Grained Analysis of BERTScore ...
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