Classes
Publications
- Semantic Noise Matters for Neural Natural Language Generation2019 | Faculty of Mathematics and Physics
- Neural Generation for Czech: Data and Baselines2019 | Faculty of Mathematics and Physics
- Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings2016 | Faculty of Mathematics and Physics
- New Language Pairs in TectoMT2015 | Faculty of Mathematics and Physics
- Training a Natural Language Generator From Unaligned Data2015 | Faculty of Mathematics and Physics
- Using Parallel Features in Parsing of Machine-Translated Sentences for Correction of Grammatical Errors2012 | Faculty of Mathematics and Physics
- DEPFIX: A System for Automatic Correction of Czech MT Outputs2012 | Faculty of Mathematics and Physics
- Alex Context NLG DatasetPublication without faculty affiliation
- MooseNet: A Trainable Metric for Synthesized Speech with a PLDA Module2023 | Faculty of Mathematics and Physics
- Barriers and enabling factors for error analysis in NLG research2023 | Faculty of Mathematics and Physics
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