Using subcategorization knowledge to improve case prediction for translation to German

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CimS - The CIS and IMS Joint Submission to WMT 2015 addressing morphological and syntactic differences in English to German SMT (2015, methodology): “This supports our hypothesis that morphological modeling in combination with reordering improves translation quality and is consistent with human evaluations of morphological modeling we have carried out in the past, see, e.g., (Weller et al., 2013; Cap et al., 2014a).”
Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation (2015, background): “There is related work on improving morphological agreement and subcategorisation through postediting (Rosa et al., 2012) or independent models for inflection generation (Toutanova et al., 2008; Weller et al., 2013).”
An Unsupervised Model for Instance Level Subcategorization Acquisition (2014, background): “…and Fang, 2004; Arun and Keller, 2005; Cholakov and van Noord, 2010), semantic role labeling (Bharati et al., 2005; Moschitti and Basili, 2005), verb clustering, (Schulte im Walde, 2006; Sun and Korhonen, 2011) and machine translation (Han et al., 2000; Hajiˇc et al., 2002; Weller et al., 2013).”
CimS – The CIS and IMS joint submission to WMT 2014 translating from English into German (2014, background): “This approach also handles word-formation issues such as portmanteau splitting and compounding.”