CimS – The CIS and IMS joint submission to WMT 2014 translating from English into German
By Fabienne Cap, Marion Weller, Anita Ramm, Alexander M. Fraser. 2014
8 citations recorded by the source corpus.
We present the CimS submissions to the 2014 Shared Task for the language pair EN!DE. We address the major problems that arise when translating into German: complex nominal and verbal morphology, productive compounding and flexible word ordering. Our morphologyaware translation systems handle word formation issues on different levels of morpho-syntactic modeling.
Subfields: Artificial Intelligence, Natural Language Processing
How researchers see this paper
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In Artificial Intelligence
- Philipp Koehn
- Ondrej Bojar
- Lucia Specia
- Alexander M. Fraser
- Graham Neubig
- Matt Post
- Barry Haddow
- Rico Sennrich
In Natural Language Processing
- Philipp Koehn
- Lucia Specia
- Ondrej Bojar
- Barry Haddow
- Matt Post
- Alexander M. Fraser
- Rico Sennrich
- Christof Monz
Citations in the corpus
- Findings of the 2014 Workshop on Statistical Machine Translation (2014, methodology): “CIMS University of Stuttgart / University of Munich (Cap et al., 2014)”
- CimS - The CIS and IMS Joint Submission to WMT 2015 addressing morphological and syntactic differences in English to German SMT (2015, methodology): “When it comes to the combination of compound processing and nominal inflec-tion, which we have successfully applied in the past (Cap et al., 2014a; Cap et al., 2014b), we do not see any improvement in terms of BLEU score for this combination here.”