Such tools make it easy to run most current approaches to statistical markup , chunking , normalization , segmentation , alignment , and noisy-channel decoding , ' including classic models for speech recognition ( Pereira and Riley , 1997 ) and machine translation ( Knight and Al-Onaizan , 1998 ) .
translation with finitestate devices
Kevin Knight Yaser Al-Onaizan
The availability of toolkits for this weighted case ( Mohri et al. , 1998 ; van Noord and Gerdemann , 2001 ) promises to unify much of statistical NLP . Such tools make it easy to run most current approaches to statistical markup , chunking , normalization , segmentation , alignment , and noisy-channel decoding , ' including classic models for speech recognition ( Pereira and Riley , 1997 ) and machine translation ( Knight and Al-Onaizan , 1998 ) . Moreover , once the models are expressed in the finitestate framework , it is easy to use operators to tweak them , to apply them to speech lattices or other sets , and to combine them with linguistic resources .
Such tools make it easy to run most current approaches to statistical markup , chunking , normalization , segmentation , alignment , and noisy-channel decoding , ' including classic models for speech recognition ( Pereira and Riley , 1997 ) and machine translation ( @@CITATION ) .