Two-step translation with grammatical post-processing

40 citations recorded by the source corpus.

How researchers see this paper

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Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle* (2021, unknown): “Alkuhlani and Habash (2011) N Y N N − − − − Mareček et al. (2011) N Y N N − − − −”
Findings of the 2011 Workshop on Statistical Machine Translation (2011, background): “CST Centre for Language Technology @ Copenhagen University (Rishøj and Søgaard, 2011) CU-BOJAR Charles University - Bojar (Mareček et al., 2011) CU-MARECEK Charles University - Mareček (Mareček et al.”
Can Automatic Post-Editing Make MT More Meaningful (2012, methodology): “The DepFix post-editor (Mareˇcek et al., 2011) parses translated sentences, and uses the bilingual parses to correct Czech morphology.”
USAAR-SAPE: An English–Spanish Statistical Automatic Post-Editing System (2015, background): “Rosa et al. (2012) and Mareˇcek et al. (2011) applied APE on English-to-Czech MT outputs on morphological level.”
Chimera – Three Heads for English-to-Czech Translation (2013, background): “Previous attempts to resolve these issues include speciﬁc probabilistic models (Subotin, 2011) or leaving the morphological generation to a separate processing step (Fraser et al., 2012; Mareˇcek et al., 2011).”