Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
NLPsystem developers and corpus lexicographers would both bene t from a tool for nding and organizing the distinctive patterns of use of words in texts. Such a tool would be an ass...
We propose a language-independent approach for improving statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the b...
In current phrase-based Statistical Machine Translation systems, more training data is generally better than less. However, a larger data set eventually introduces a larger model ...
— In human-machine collaborative systems, robot joint compliance and human-input dynamics lead to involuntary tool motion into undesired regions. To correct this, a set of method...