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Compound splitting is an important problem in many NLP applications which must be solved in order to address issues of data sparsity. Previous work has shown that linguistic approaches for German compound splitting produce a correct splitting more often, but corpus-driven approaches work best for phrase-based statistical machine translation from German to(More)
Translating prepositions is a difficult and under-studied problem in SMT. We present a novel method to improve the translation of prepositions by using noun classes to model their selec-tional preferences. We compare three variants of noun class information: (i) classes induced from the lexical resource GermaNet or obtained from clusterings based on either(More)
Automatic word alignment plays a critical role in statistical machine translation. Unfortunately , the relationship between alignment quality and statistical machine translation performance has not been well understood. In the recent literature, the alignment task has frequently been decoupled from the translation task and assumptions have been made about(More)
The paper presents an approach to morphological compound splitting that takes the degree of compositionality into account. We apply our approach to German noun compounds and particle verbs within a German–English SMT system, and study the effect of only splitting compositional compounds as opposed to an aggressive splitting. A qualitative study explores the(More)
Long-distance reordering of syntactically divergent language pairs is a critical problem. SMT has had limited success in handling these reorderings during inference, and thus deterministic preprocessing based on reordering parse trees is used. We consider German-to-English translation using Hiero. We show how to effectively model long-distance reorderings(More)
Recent analyses have shown that significant changes have occurred in patterns of sea ice seasonality in West Antarctica since 1979, with wide-ranging climatic, biological and biogeochemical consequences. Here, we provide the first detailed report on long-term change and variability in annual timings of sea ice advance, retreat and resultant ice season(More)
We present a translation system that models the selection of prepositions in a target-side generation component. This novel approach allows the modeling of all subcategorized elements of a verb as either NPs or PPs according to target-side requirements relying on source and target side features. The BLEU scores are encouraging, but fail to surpass the(More)